id stringlengths 10 10 | title stringlengths 7 231 | abstract stringlengths 3 2.43k | authors stringlengths 5 21.5k | published_date stringlengths 20 20 | link stringlengths 33 34 | markdown stringlengths 133 1.92M |
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2305.00379 | Image Completion via Dual-path Cooperative Filtering | Given the recent advances with image-generating algorithms, deep image
completion methods have made significant progress. However, state-of-art
methods typically provide poor cross-scene generalization, and generated masked
areas often contain blurry artifacts. Predictive filtering is a method for
restoring images, whi... | Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger | 2023-04-30T03:54:53Z | http://arxiv.org/abs/2305.00379v1 | # Image Completion via Dual-Path Cooperative Filtering
###### Abstract
Given the recent advances with image-generating algorithms, deep image completion methods have made significant progress. However, state-of-art methods typically provide poor cross-scene generalization, and generated masked areas often contain blu... |
2307.16362 | High Sensitivity Beamformed Observations of the Crab Pulsar's Radio
Emission | We analyzed four epochs of beamformed EVN data of the Crab Pulsar at 1658.49
MHz. With the high sensitivity resulting from resolving out the Crab Nebula, we
are able to detect even the faint high-frequency components in the folded
profile. We also detect a total of 65951 giant pulses, which we use to
investigate the ra... | Rebecca Lin, Marten H. van Kerkwijk | 2023-07-31T01:36:55Z | http://arxiv.org/abs/2307.16362v2 | # High Sensitivity Beamformed Observations of the Crab Pulsar's Radio Emission
###### Abstract
We analyzed four epochs of beamformed EVN data of the Crab Pulsar at \(1658.49\rm\,MHz\). With the high sensitivity resulting from resolving out the Crab Nebula, we are able to detect even the faint high-frequency component... |
2301.07687 | Maybe, Maybe Not: A Survey on Uncertainty in Visualization | Understanding and evaluating uncertainty play a key role in decision-making.
When a viewer studies a visualization that demands inference, it is necessary
that uncertainty is portrayed in it. This paper showcases the importance of
representing uncertainty in visualizations. It provides an overview of
uncertainty visual... | Krisha Mehta | 2022-12-14T00:07:06Z | http://arxiv.org/abs/2301.07687v1 | # Maybe, Maybe Not: A Survey on Uncertainty in Visualization
###### Abstract
Understanding and evaluating uncertainty play a key role in decision-making. When a viewer studies a visualization that demands inference, it is necessary that uncertainty is portrayed in it. This paper showcases the importance of representi... |
2309.09088 | Enhancing GAN-Based Vocoders with Contrastive Learning Under
Data-limited Condition | Vocoder models have recently achieved substantial progress in generating
authentic audio comparable to human quality while significantly reducing memory
requirement and inference time. However, these data-hungry generative models
require large-scale audio data for learning good representations. In this
paper, we apply ... | Haoming Guo, Seth Z. Zhao, Jiachen Lian, Gopala Anumanchipalli, Gerald Friedland | 2023-09-16T20:04:16Z | http://arxiv.org/abs/2309.09088v2 | # Enhancing Gan-Based Vocoders with Contrastive Learning Under Data-Limited Condition
###### Abstract
Vocoder models have recently achieved substantial progress in generating authentic audio comparable to human quality while significantly reducing memory requirement and inference time. However, these data-hungry gene... |
2307.16404 | Nonvolatile Magneto-Thermal Switching in MgB2 | Ongoing research explores thermal switching materials to control heat flow.
Specifically, there has been interest in magneto-thermal switching (MTS)
materials based on superconductors, which only exhibited switching behavior
when a magnetic field was applied. However, a recent report highlighted
nonvolatile MTS in comm... | Hiroto Arima, Yoshikazu Mizuguchi | 2023-07-31T04:59:19Z | http://arxiv.org/abs/2307.16404v1 | # Nonvolatile Magneto-Thermal Switching in MgB\({}_{2}\)
###### Abstract
Ongoing research explores thermal switching materials to control heat flow. Specifically, there has been interest in magneto-thermal switching (MTS) materials based on superconductors, which only exhibited switching behavior when a magnetic fiel... |
2307.16410 | HiREN: Towards Higher Supervision Quality for Better Scene Text Image
Super-Resolution | Scene text image super-resolution (STISR) is an important pre-processing
technique for text recognition from low-resolution scene images. Nowadays,
various methods have been proposed to extract text-specific information from
high-resolution (HR) images to supervise STISR model training. However, due to
uncontrollable f... | Minyi Zhao, Yi Xu, Bingjia Li, Jie Wang, Jihong Guan, Shuigeng Zhou | 2023-07-31T05:32:57Z | http://arxiv.org/abs/2307.16410v1 | # HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution
###### Abstract
Scene text image super-resolution (STISR) is an important pre-processing technique for text recognition from low-resolution scene images. Nowadays, various methods have been proposed to extract text-specific infor... |
2304.00044 | On The Theory of Ring Afterglows | Synchrotron and inverse Compton emission successfully explain the observed
spectra of gamma-ray burst (GRB) afterglows. It is thought that most GRBs are
products of extremely relativistic outflows and the afterglow marks the
interaction of that ejecta with the surrounding matter. Faster decay of
afterglow light curves ... | Marcus DuPont, Andrew MacFadyen, Re'em Sari | 2023-03-31T18:02:12Z | http://arxiv.org/abs/2304.00044v1 | # On The Theory of Ring Afterglows
###### Abstract
Synchrotron and inverse Compton emission successfully explain the observed spectra of gamma-ray burst (GRB) afterglows. It is thought that most GRBs are products of extremely relativistic outflows and the afterglow marks the interaction of that ejecta with the surrou... |
2309.12494 | Evidential uncertainty sampling for active learning | Recent studies in active learning, particularly in uncertainty sampling, have
focused on the decomposition of model uncertainty into reducible and
irreducible uncertainties. In this paper, the aim is to simplify the
computational process while eliminating the dependence on observations.
Crucially, the inherent uncertai... | Arthur Hoarau, Vincent Lemaire, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall | 2023-09-21T21:26:50Z | http://arxiv.org/abs/2309.12494v2 | # Evidential uncertainties on rich labels
###### Abstract
Recent research in active learning, and more precisely in uncertainty sampling, has focused on the decomposition of model uncertainty into reducible and irreducible uncertainties. In this paper, we propose to simplify the computational phase and remove the dep... |
2309.07927 | Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech
Recognition for Children VS. Adults | Recent advancements in Automatic Speech Recognition (ASR) systems,
exemplified by Whisper, have demonstrated the potential of these systems to
approach human-level performance given sufficient data. However, this progress
doesn't readily extend to ASR for children due to the limited availability of
suitable child-speci... | Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Espy-Wilson | 2023-09-12T06:58:18Z | http://arxiv.org/abs/2309.07927v3 | Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children vs. Adults
###### Abstract
Recent advancements in Automatic Speech Recognition (ASR) systems, exemplified by Whisper, have demonstrated the potential of these systems to approach human-level performance given sufficient dat... |
2309.00090 | Benford's Law under Zeckendorf expansion | In the literature, Benford's Law is considered for base-b expansions where
b>1 is an integer. In this paper, we investigate the distribution of leading
"digits" of a sequence of positive integers under other expansions such as
Zeckendorf expansion, and declare what Benford's Law should be under
generalized Zeckendorf e... | Sungkon Chang, Steven J. Miller | 2023-08-31T19:16:07Z | http://arxiv.org/abs/2309.00090v1 | # Benford's Law under Zeckendorf expansion
###### Abstract
In the literature, Benford's Law is considered for base-\(b\) expansions where \(b>1\) is an integer. In this paper, we investigate the distribution of leading "digits" of a sequence of positive integers under other expansions such as Zeckendorf expansion, an... |
2306.00173 | Discovering Love numbers through resonance excitation during extreme
mass ratio inspirals | General Relativity predicts that black holes do not possess an internal
structure and consequently cannot be excited. This leads to a specific
prediction about the waveform of gravitational waves, which they emit during a
binary black hole inspiral and to the vanishing of their Love numbers. However,
if astrophysical b... | Shani Avitan, Ram Brustein, Yotam Sherf | 2023-05-31T20:42:13Z | http://arxiv.org/abs/2306.00173v1 | # Discovering Love numbers through resonance excitation during extreme mass ratio inspirals
###### Abstract
General Relativity predicts that black holes do not possess an internal structure and consequently cannot be excited. This leads to a specific prediction about the waveform of gravitational waves which they emi... |
2305.00423 | Tropical mirror for toric surfaces | We describe the tropical mirror for complex toric surfaces. In particular we
provide an explicit expression for the mirror states and show that they can be
written in enumerative form. Their holomorphic germs give an explicit form of
good section for Landau-Ginzburg-Saito theory. We use an explicit form of
holomorphic ... | Andrey Losev, Vyacheslav Lysov | 2023-04-30T08:23:00Z | http://arxiv.org/abs/2305.00423v2 | # Tropical mirror for toric surfaces
###### Abstract
We describe the tropical mirror for complex toric surfaces. In particular we provide an explicit expression for the mirror states and show that they can be written in enumerative form. Their holomorphic germs give an explicit form of good section for Landau-Ginzbur... |
2309.16194 | Thin current sheets in the magnetotail at lunar distances: statistics of
ARTEMIS observations | The magnetotail current sheet's spatial configuration and stability control
the onset of magnetic reconnection - the driving process for magnetospheric
substorms. The near-Earth current sheet has been thoroughly investigated by
numerous missions, whereas the midtail current sheet has not been adequately
explored. This ... | S. R. Kamaletdinov, A. V. Artemyev, A. Runov, V. Angelopoulos | 2023-09-28T06:32:35Z | http://arxiv.org/abs/2309.16194v1 | # Thin current sheets in the magnetotail at lunar distances: statistics of ARTEMIS observations
###### Abstract
We present a statistical analysis of magnetotail current sheets collected by the ARTEMIS mission for 11 years of observations at \(\sim 60\) R\({}_{E}\) tail
We observe a large population (\(\sim 56\%\)) o... |
2301.13816 | Execution-based Code Generation using Deep Reinforcement Learning | The utilization of programming language (PL) models, pre-trained on
large-scale code corpora, as a means of automating software engineering
processes has demonstrated considerable potential in streamlining various code
generation tasks such as code completion, code translation, and program
synthesis. However, current a... | Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy | 2023-01-31T18:02:26Z | http://arxiv.org/abs/2301.13816v4 | # Execution-based Code Generation using Deep Reinforcement Learning
###### Abstract
The utilization of programming language (PL) models, pretrained on large-scale code corpora, as a means of automating software engineering processes has demonstrated considerable potential in streamlining various code generation tasks... |
2309.04590 | Robotic Defect Inspection with Visual and Tactile Perception for
Large-scale Components | In manufacturing processes, surface inspection is a key requirement for
quality assessment and damage localization. Due to this, automated surface
anomaly detection has become a promising area of research in various industrial
inspection systems. A particular challenge in industries with large-scale
components, like ai... | Arpit Agarwal, Abhiroop Ajith, Chengtao Wen, Veniamin Stryzheus, Brian Miller, Matthew Chen, Micah K. Johnson, Jose Luis Susa Rincon, Justinian Rosca, Wenzhen Yuan | 2023-09-08T20:36:56Z | http://arxiv.org/abs/2309.04590v1 | # Robotic Defect Inspection with Visual and Tactile Perception for Large-scale Components
###### Abstract
In manufacturing processes, surface inspection is a key requirement for quality assessment and damage localization. Due to this, automated surface anomaly detection has become a promising area of research in vari... |
2309.05842 | Fairness- and uncertainty-aware data generation for data-driven design | The design dataset is the backbone of data-driven design. Ideally, the
dataset should be fairly distributed in both shape and property spaces to
efficiently explore the underlying relationship. However, the classical
experimental design focuses on shape diversity and thus yields biased
exploration in the property space... | Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Zhao | 2023-09-11T21:54:49Z | http://arxiv.org/abs/2309.05842v1 | # Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design
###### Abstract
_The design dataset is the backbone of data-driven design. Ideally, the dataset should be fairly distributed in both shape and property spaces to efficiently explore the underlying relationship. However, the classical experimenta... |
2309.16180 | A More General Theory of Diagnosis from First Principles | Model-based diagnosis has been an active research topic in different
communities including artificial intelligence, formal methods, and control.
This has led to a set of disparate approaches addressing different classes of
systems and seeking different forms of diagnoses. In this paper, we resolve
such disparities by g... | Alban Grastien, Patrik Haslum, Sylvie Thiébaux | 2023-09-28T05:47:52Z | http://arxiv.org/abs/2309.16180v1 | # A More General Theory of Diagnosis from First Principles
###### Abstract
Model-based diagnosis has been an active research topic in different communities including artificial intelligence, formal methods, and control. This has led to a set of disparate approaches addressing different classes of systems and seeking ... |
2301.13802 | Armouring of a frictional interface by mechanical noise | A dry frictional interface loaded in shear often displays stick-slip. The
amplitude of this cycle depends on the probability that a slip event nucleates
into a rupture, and on the rate at which slip events are triggered. This rate
is determined by the distribution $P(x)$ of soft spots which yields if the
shear stress i... | Elisa El Sergany, Matthieu Wyart, Tom W. J. de Geus | 2023-01-31T17:42:54Z | http://arxiv.org/abs/2301.13802v1 | # Armouring of a frictional interface by mechanical noise
###### Abstract
A dry frictional interface loaded in shear often displays stick-slip. The amplitude of this cycle depends on the probability that a slip event nucleates into a rupture, and on the rate at which slip events are triggered. This rate is determined... |
2309.07933 | A Lean-Congruence Format for EP-Bisimilarity | Enabling preserving bisimilarity is a refinement of strong bisimilarity that
preserves safety as well as liveness properties. To define it properly,
labelled transition systems needed to be upgraded with a successor relation,
capturing concurrency between transitions enabled in the same state. We enrich
the well-known ... | Rob van Glabbeek, Peter Höfner, Weiyou Wang | 2023-09-13T20:51:32Z | http://arxiv.org/abs/2309.07933v1 | # A Lean-Congruence Format for EP-Bisimilarity
###### Abstract
Enabling preserving bisimilarity is a refinement of strong bisimilarity that preserves safety as well as liveness properties. To define it properly, labelled transition systems needed to be upgraded with a successor relation, capturing concurrency between... |
2309.11189 | Increasing Ticketing Allocative Efficiency Using Marginal Price Auction
Theory | Most modern ticketing systems rely on a first-come-first-serve or randomized
allocation system to determine the allocation of tickets. Such systems has
received considerable backlash in recent years due to its inequitable allotment
and allocative inefficiency. We analyze a ticketing protocol based on a
variation of the... | Boxiang Fu | 2023-09-20T10:23:39Z | http://arxiv.org/abs/2309.11189v1 | # Increasing Ticketing Allocative Efficiency Using Marginal Price Auction Theory
###### Abstract
Most modern ticketing systems rely on a first-come-first-serve or randomized allocation system to determine the allocation of tickets. Such systems has received considerable backlash in recent years due to its inequitable... |
2309.10297 | Approximate ultrahomogeneity in $L_pL_q$ lattices | We show that for $1\leq p, q<\infty$ with $p/q \notin \mathbb{N}$, the doubly
atomless separable $L_pL_q$ Banach lattice $L_p(L_q)$ is approximately
ultrahomogeneous (AUH) over the class of its finitely generated sublattices.
The above is not true when $p/q \in \mathbb{N}$. However, for any $p\neq q$,
$L_p(L_q)$ is AUH... | Mary Angelica Tursi | 2023-09-19T04:01:52Z | http://arxiv.org/abs/2309.10297v1 | # Approximate ultrahomogeneous in \(L_{p}L_{q}\) lattices
###### Abstract.
We show that for \(1\leq p,q<\infty\) with \(p/q\notin\mathbb{N}\), the doubly atomless separable \(L_{p}L_{q}\) Banach lattice \(L_{p}(L_{q})\) is approximately ultrahomogeneous (AUH) over the class of its finitely generated sublattices. The ... |
2309.13946 | Observational constraints on interactions between dark energy and dark
matter with momentum and energy transfers | We place observational constraints on a dark energy (DE) model in which a
quintessence scalar field $\phi$ is coupled to dark matter (DM) through
momentum and energy exchanges.The momentum transfer is weighed by an
interaction between the field derivative and DM four velocity with a coupling
constant $\beta$, whereas t... | Xiaolin Liu, Shinji Tsujikawa, Kiyotomo Ichiki | 2023-09-25T08:26:51Z | http://arxiv.org/abs/2309.13946v2 | # Observational constraints on interactions between dark energy and dark matter
###### Abstract
We place observational constraints on a dark energy (DE) model in which a quintessence scalar field \(\phi\) is coupled to dark matter (DM) through momentum and energy exchanges. The momentum transfer is weighed by an inte... |
2309.05117 | Model discovery for nonautonomous translation-invariant problems | Discovery of mathematical descriptors of physical phenomena from
observational and simulated data, as opposed to from the first principles, is a
rapidly evolving research area. Two factors, time-dependence of the inputs and
hidden translation invariance, are known to complicate this task. To ameliorate
these challenges... | Hongli Zhao, Daniel M. Tartakovsky | 2023-09-10T19:37:25Z | http://arxiv.org/abs/2309.05117v2 | # Model discovery for nonautonomous translation-invariant problems+
###### Abstract
Discovery of mathematical descriptors of physical phenomena from observational and simulated data, as opposed to from the first principles, is a rapidly evolving research area. Two factors, time-dependence of the inputs and hidden tra... |
2309.03566 | P4R-Type: a Verified API for P4 Control Plane Programs (Technical
Report) | Software-Defined Networking (SDN) significantly simplifies programming,
reconfiguring, and optimizing network devices, such as switches and routers.
The de facto standard for programmming SDN devices is the P4 language. However,
the flexibility and power of P4, and SDN more generally, gives rise to
important risks. As ... | Jens Kanstrup Larsen, Roberto Guanciale, Philipp Haller, Alceste Scalas | 2023-09-07T08:52:49Z | http://arxiv.org/abs/2309.03566v1 | # P4R-Type: a Verified API for P4 Control Plane Programs
###### Abstract.
Software-Defined Networking (SDN) significantly simplifies programming, reconfiguring, and optimizing network devices, such as switches and routers. The _de facto_ standard for programming SDN devices is the P4 language. However, the flexibilit... |
2309.04209 | Computable error bounds for quasi-Monte Carlo using points with
non-negative local discrepancy | Let $f:[0,1]^d\to\mathbb{R}$ be a completely monotone integrand as defined by
Aistleitner and Dick (2015) and let points
$\boldsymbol{x}_0,\dots,\boldsymbol{x}_{n-1}\in[0,1]^d$ have a non-negative
local discrepancy (NNLD) everywhere in $[0,1]^d$. We show how to use these
properties to get a non-asymptotic and computabl... | Michael Gnewuch, Peter Kritzer, Art B. Owen, Zexin Pan | 2023-09-08T08:42:23Z | http://arxiv.org/abs/2309.04209v2 | # Computable error bounds for quasi-Monte Carlo using points with non-negative local discrepancy
###### Abstract
Let \(f:[0,1]^{d}\to\mathbb{R}\) be a completely monotone integrand as defined by Aistleitner and Dick (2015) and let points \(\mathbf{x}_{0},\ldots,\mathbf{x}_{n-1}\in[0,1]^{d}\) have a non-negative local... |
2302.14368 | Enhanced Controllability of Diffusion Models via Feature Disentanglement
and Realism-Enhanced Sampling Methods | As Diffusion Models have shown promising performance, a lot of efforts have
been made to improve the controllability of Diffusion Models. However, how to
train Diffusion Models to have the disentangled latent spaces and how to
naturally incorporate the disentangled conditions during the sampling process
have been under... | Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale | 2023-02-28T07:43:00Z | http://arxiv.org/abs/2302.14368v3 | # Towards Enhanced Controllability of Diffusion Models
###### Abstract
_Denoising Diffusion models have shown remarkable capabilities in generating realistic, high-quality and diverse images. However, the extent of controllability during generation is underexplored. Inspired by techniques based on GAN latent space fo... |
2309.17275 | Utility-based Adaptive Teaching Strategies using Bayesian Theory of Mind | Good teachers always tailor their explanations to the learners. Cognitive
scientists model this process under the rationality principle: teachers try to
maximise the learner's utility while minimising teaching costs. To this end,
human teachers seem to build mental models of the learner's internal state, a
capacity kno... | Clémence Grislain, Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani | 2023-09-29T14:27:53Z | http://arxiv.org/abs/2309.17275v1 | # Utility-based Adaptive Teaching Strategies using Bayesian Theory of Mind
###### Abstract
Good teachers always tailor their explanations to the learners. Cognitive scientists model this process under the rationality principle: teachers try to maximise the learner's utility while minimising teaching costs. To this en... |
2301.13631 | TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned
BERT | Extracting precise geographical information from textual contents is crucial
in a plethora of applications. For example, during hazardous events, a robust
and unbiased toponym extraction framework can provide an avenue to tie the
location concerned to the topic discussed by news media posts and pinpoint
humanitarian he... | Bing Zhou, Lei Zou, Yingjie Hu, Yi Qiang, Daniel Goldberg | 2023-01-31T13:44:34Z | http://arxiv.org/abs/2301.13631v2 | # TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT*
###### Abstract
Extracting precise geographical information from textual contents is crucial in a plethora of applications. For example, during hazardous events, a robust and unbiased toponym extraction framework can provide an avenue to... |
2309.07066 | CLiFF-LHMP: Using Spatial Dynamics Patterns for Long-Term Human Motion
Prediction | Human motion prediction is important for mobile service robots and
intelligent vehicles to operate safely and smoothly around people. The more
accurate predictions are, particularly over extended periods of time, the
better a system can, e.g., assess collision risks and plan ahead. In this
paper, we propose to exploit ... | Yufei Zhu, Andrey Rudenko, Tomasz P. Kucner, Luigi Palmieri, Kai O. Arras, Achim J. Lilienthal, Martin Magnusson | 2023-09-13T16:26:48Z | http://arxiv.org/abs/2309.07066v1 | # CliFF-LHMP: Using Spatial Dynamics Patterns for
###### Abstract
Human motion prediction is important for mobile service robots and intelligent vehicles to operate safely and smoothly around people. The more accurate predictions are, particularly over extended periods of time, the better a system can, e.g., assess c... |
2310.01574 | Potential Ways to Detect Unfairness in HRI and to Re-establish Positive
Group Dynamics | This paper focuses on the identification of different algorithm-based biases
in robotic behaviour and their consequences in human-robot mixed groups. We
propose to develop computational models to detect episodes of microaggression,
discrimination, and social exclusion informed by a) observing human coping
behaviours th... | Astrid Rosenthal-von der Pütten, Stefan Schiffer | 2023-09-27T09:42:52Z | http://arxiv.org/abs/2310.01574v1 | # Potential Ways to Detect Unfairness in HRI and to Re-establish Positive Group Dynamics
###### Abstract
This paper focuses on the identification of different algorithm-based biases in robotic behaviour and their consequences in human-robot mixed groups. We propose to develop computational models to detect episodes o... |
2309.15462 | DTC: Deep Tracking Control | Legged locomotion is a complex control problem that requires both accuracy
and robustness to cope with real-world challenges. Legged systems have
traditionally been controlled using trajectory optimization with inverse
dynamics. Such hierarchical model-based methods are appealing due to intuitive
cost function tuning, ... | Fabian Jenelten, Junzhe He, Farbod Farshidian, Marco Hutter | 2023-09-27T07:57:37Z | http://arxiv.org/abs/2309.15462v2 | DTC: Deep Tracking Control - A Unifying Approach to Model-Based Planning and Reinforcement-Learning for Versatile and Robust Locomotion
###### Abstract
**Legged locomotion is a complex control problem that requires both accuracy and robustness to cope with real-world challenges. Legged systems have traditionally been... |
2309.05671 | tSPM+; a high-performance algorithm for mining transitive sequential
patterns from clinical data | The increasing availability of large clinical datasets collected from
patients can enable new avenues for computational characterization of complex
diseases using different analytic algorithms. One of the promising new methods
for extracting knowledge from large clinical datasets involves temporal pattern
mining integr... | Jonas Hügel, Ulrich Sax, Shawn N. Murphy, Hossein Estiri | 2023-09-08T17:47:31Z | http://arxiv.org/abs/2309.05671v1 | tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data
## Abstract
The increasing availability of large clinical datasets collected from patients can enable new avenues for computational characterization of complex diseases using different analytic algorithms. One of the prom... |
2309.15476 | Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based
Sentiment Quadruple Analysis | Conversational aspect-based sentiment quadruple analysis (DiaASQ) aims to
extract the quadruple of target-aspect-opinion-sentiment within a dialogue. In
DiaASQ, a quadruple's elements often cross multiple utterances. This situation
complicates the extraction process, emphasizing the need for an adequate
understanding o... | Yuqing Li, Wenyuan Zhang, Binbin Li, Siyu Jia, Zisen Qi, Xingbang Tan | 2023-09-27T08:17:28Z | http://arxiv.org/abs/2309.15476v1 | Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis
###### Abstract
Conversational aspect-based sentiment quadruple analysis (DiaASQ) aims to extract the quadruple of target-aspect-opinion-sentiment within a dialogue. In DiaASQ, a quadruple's elements often cross multi... |
2309.11610 | Hand Gesture Recognition with Two Stage Approach Using Transfer Learning
and Deep Ensemble Learning | Human-Computer Interaction (HCI) has been the subject of research for many
years, and recent studies have focused on improving its performance through
various techniques. In the past decade, deep learning studies have shown high
performance in various research areas, leading researchers to explore their
application to ... | Serkan Savaş, Atilla Ergüzen | 2023-09-20T19:53:05Z | http://arxiv.org/abs/2309.11610v1 | # Hand Gesture Recognition with Two Stage Approach Using Transfer Learning and Deep Ensemble Learning
###### Abstract
Human-Computer Interaction (HCI) has been the subject of research for many years, and recent studies have focused on improving its performance through various techniques. In the past decade, deep lear... |
2309.07072 | The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in
Deep Learning | In this work, we assess the theoretical limitations of determining guaranteed
stability and accuracy of neural networks in classification tasks. We consider
classical distribution-agnostic framework and algorithms minimising empirical
risks and potentially subjected to some weights regularisation. We show that
there is... | Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil Prokhorov, Oliver Sutton, Ivan Y. Tyukin, Qinghua Zhou | 2023-09-13T16:33:27Z | http://arxiv.org/abs/2309.07072v1 | # The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
###### Abstract
In this work, we assess the theoretical limitations of determining guaranteed stability and accuracy of neural networks in classification tasks. We consider classical distribution-agnostic framework and algorithms... |
2305.19827 | Bose Gas Modeling of the Schwarzschild Black Hole Thermodynamics | Black holes violate the third law of thermodynamics, and this gives rise to
difficulties with the microscopic description of the entropy of black holes.
Recently, it has been shown that the microscopic description of the
Schwarzschild black hole thermodynamics in $D = 4$ spacetime dimensions is
provided by the analytic... | I. Ya. Aref'eva, I. V. Volovich | 2023-05-31T13:08:34Z | http://arxiv.org/abs/2305.19827v1 | # Bose Gas Modeling of the Schwarzschild Black Hole Thermodynamics
###### Abstract
Black holes violate the third law of thermodynamics, and this gives rise to difficulties with the microscopic description of the entropy of black holes. Recently, it has been shown that the microscopic description of the Schwarzschild ... |
2309.16619 | Cubical Approximation for Directed Topology II | The paper establishes an equivalence between localizations of (diagrams of)
cubical sets and (diagrams of) directed topological spaces by those maps
defining (natural) cubical homotopy equivalences after application of the
directed singular functor and a directed analogue of fibrant replacement. This
equivalence both l... | Sanjeevi Krishnan | 2023-09-28T17:19:04Z | http://arxiv.org/abs/2309.16619v1 | # Cubical approximation for directed topology II
###### Abstract.
The paper establishes an equivalence between localizations of (diagrams of) cubical sets and (diagrams of) directed topological spaces by those maps defining (natural) cubical homotopy equivalences after application of the directed singular functor and... |
2309.11176 | Effects of electrons on nuclear clock transition frequency in $^{229}$Th
ions | We perform calculations of the energy shift of the nuclear clock transition
frequency $^{229}$Th as a function of the number of electrons in Th ion.
We demonstrate that the dependence of the nuclear frequency on electron
configuration is significant. E.g., removing one electron from the atom leads
to relative shift o... | V. A. Dzuba, V. V. Flambaum | 2023-09-20T09:52:14Z | http://arxiv.org/abs/2309.11176v1 | # Effects of electrons on nuclear clock transition frequency in \({}^{229}\)Th ions
###### Abstract
We perform calculations of the energy shift of the nuclear clock transition frequency \({}^{229}\)Th as a function of the number of electrons in Th ion. We demonstrate that the dependence of the nuclear frequency on el... |
2309.05103 | AGent: A Novel Pipeline for Automatically Creating Unanswerable
Questions | The development of large high-quality datasets and high-performing models
have led to significant advancements in the domain of Extractive Question
Answering (EQA). This progress has sparked considerable interest in exploring
unanswerable questions within the EQA domain. Training EQA models with
unanswerable questions ... | Son Quoc Tran, Gia-Huy Do, Phong Nguyen-Thuan Do, Matt Kretchmar, Xinya Du | 2023-09-10T18:13:11Z | http://arxiv.org/abs/2309.05103v1 | # _Agent_: A Novel Pipeline for Automatically Creating Unanswerable Questions
###### Abstract
The development of large high-quality datasets and high-performing models have led to significant advancements in the domain of Extractive Question Answering (EQA). This progress has sparked considerable interest in explorin... |
2303.00020 | A shared accretion instability for black holes and neutron stars | Accretion disks around compact objects are expected to enter an unstable
phase at high luminosity. One instability may occur when the radiation pressure
generated by accretion modifies the disk viscosity, resulting in the cyclic
depletion and refilling of the inner disk on short timescales. Such a scenario,
however, ha... | F. M. Vincentelli, J. Neilsen, A. J. Tetarenko, Y. Cavecchi, N. Castro Segura, S. del Palacio, J. van den Eijnden, G. Vasilopoulos, D. Altamirano, M. Armas Padilla, C. D. Bailyn, T. Belloni, D. J. K. Buisson, V. A. Cuneo, N. Degenaar, C. Knigge, K. S. Long, F. Jimenez-Ibarra, J. Milburn, T. Muñoz Darias, M. Ozbey Araba... | 2023-02-28T19:00:22Z | http://arxiv.org/abs/2303.00020v1 | # A shared accretion instability for black holes and neutron stars
###### Abstract
Accretion disks around compact objects are expected to enter an unstable phase at high luminosity[1]. One instability may occur when the radiation pressure generated by accretion modifies the disk viscosity, resulting in the cyclic dep... |
2310.00118 | Transforming Materials Discovery for Artificial Photosynthesis:
High-Throughput Screening of Earth-Abundant Semiconductors | We present a highly efficient workflow for designing semiconductor structures
with specific physical properties, which can be utilized for a range of
applications, including photocatalytic water splitting. Our algorithm generates
candidate structures composed of earth-abundant elements that exhibit optimal
light-trappi... | Sean M. Stafford, Alexander Aduenko, Marcus Djokic, Yu-Hsiu Lin, Jose L. Mendoza-Cortes | 2023-09-29T20:12:08Z | http://arxiv.org/abs/2310.00118v1 | # Transforming Materials Discovery for Artificial Photosynthesis:
###### Abstract
We present a highly efficient workflow for designing semiconductor structures with specific physical properties, which can be utilized for a range of applications, including photocatalytic water splitting. Our algorithm generates candid... |
2309.03572 | Operator relations characterizing higher-order differential operators | Let $r$ be a positive integer, $N$ be a nonnegative integer and $\Omega
\subset \mathbb{R}^{r}$ be a domain. Further, for all multi-indices $\alpha \in
\mathbb{N}^{r}$, $|\alpha|\leq N$, let us consider the partial differential
operator $D^{\alpha}$ defined by \[
D^{\alpha}= \frac{\partial^{|\alpha|}}{\partial x_{1}^... | Włodzimierz Fechner, Eszter Gselmann, Aleksandra Świątczak | 2023-09-07T09:05:01Z | http://arxiv.org/abs/2309.03572v1 | # Operator relations characterizing higher-order differential operators
###### Abstract
Let \(r\) be a positive integer, \(N\) be a nonnegative integer and \(\Omega\subset\mathbb{R}^{r}\) be a domain. Further, for all multi-indices \(\alpha\in\mathbb{N}^{r}\), \(|\alpha|\leq N\), let us consider the partial different... |
2309.10240 | DProvDB: Differentially Private Query Processing with Multi-Analyst
Provenance | Recent years have witnessed the adoption of differential privacy (DP) in
practical database systems like PINQ, FLEX, and PrivateSQL. Such systems allow
data analysts to query sensitive data while providing a rigorous and provable
privacy guarantee. However, the existing design of these systems does not
distinguish data... | Shufan Zhang, Xi He | 2023-09-19T01:42:39Z | http://arxiv.org/abs/2309.10240v1 | # DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance+
###### Abstract.
Recent years have witnessed the adoption of differential privacy (DP) in practical database systems like PINQ, FLEX, and PrivateSQL. Such systems allow data analysts to query sensitive data while providing a rigorous an... |
2309.00053 | The first comprehensive study of a giant nebula around a radio-quiet
quasar in the $z < 1$ Universe | We present the first comprehensive study of a giant, $\approx \! \! 70$
kpc-scale nebula around a radio-quiet quasar at $z<1$. The analysis is based on
deep integral field spectroscopy with MUSE of the field of HE$\,$0238$-$1904, a
luminous quasar at $z=0.6282$. The nebula emits strongly in $\mathrm{[O \,
II]}$, $\rm H... | Zhuoqi Will Liu, Sean D. Johnson, Jennifer I-Hsiu Li, Gwen C. Rudie, Joop Schaye, Hsiao-Wen Chen, Jarle Brinchmann, Sebastiano Cantalupo, Mandy C. Chen, Wolfram Kollatschny, Michael V. Maseda, Nishant Mishra, Sowgat Muzahid | 2023-08-31T18:00:23Z | http://arxiv.org/abs/2309.00053v3 | # The first comprehensive study of a giant nebula around a radio-quiet quasar in the \(z<1\) Universe
###### Abstract
We present the first comprehensive study of a giant, \(\approx\)70 kpc-scale nebula around a radio-quiet quasar at \(z<1\). The analysis is based on deep integral field spectroscopy with MUSE of the f... |
2302.14354 | Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need
of Conservation Using Image Classification and Grad-CAM | The cultural heritage buildings (CHB), which are part of mankind's history
and identity, are in constant danger of damage or in extreme situations total
destruction. That being said, it's of utmost importance to preserve them by
identifying the existent, or presumptive, defects using novel methods so that
renovation pr... | Mahdi Bahrami, Amir Albadvi | 2023-02-28T07:14:15Z | http://arxiv.org/abs/2302.14354v1 | Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAM+
###### Abstract
The cultural heritage buildings (CHB), which are part of mankind's history and identity, are in constant danger of damage or in extreme situations total destruction. That b... |
2305.20056 | Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning | Rare life events significantly impact mental health, and their detection in
behavioral studies is a crucial step towards health-based interventions. We
envision that mobile sensing data can be used to detect these anomalies.
However, the human-centered nature of the problem, combined with the
infrequency and uniqueness... | Arvind Pillai, Subigya Nepal, Andrew Campbell | 2023-05-31T17:29:24Z | http://arxiv.org/abs/2305.20056v1 | # Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning
###### Abstract
Rare life events significantly impact mental health, and their detection in behavioral studies is a crucial step towards health-based interventions. We envision that mobile sensing data can be used to detect these anomalies. Howe... |
2309.12457 | Time-Reversal Symmetry Breaking Superconductivity in CaSb$_2$ | CaSb$_2$ is a bulk superconductor and a topological semimetal, making it a
great platform for realizing topological superconductivity. In this work, we
investigate the superconducting upper and lower critical field anisotropy using
magnetic susceptibility, and study the superconducting state using muon
spin-relaxation.... | M. Oudah, Y. Cai, M. V. De Toro Sanchez, J. Bannies, M. C. Aronson, K. M. Kojima, D. A. Bonn | 2023-09-21T20:00:23Z | http://arxiv.org/abs/2309.12457v3 | Critical Field Anisotropy and Muon Spin Relaxation Study of Superconducting Dirac-Semimetal CaSb\({}_{2}\)
###### Abstract
CaSb\({}_{2}\) has been identified as a bulk superconductor and a topological semimetal, which makes it a great platform for realizing topological superconductivity. In this work, we investigate ... |
2309.13991 | Magnetism on the thermal dynamics of 2D antiferromagnetic membranes | We developed a theoretical scheme of incorporating the magnetoelastic
contribution into the thermal elastic dynamics for the thin membranes of 2D
antiferromagnetic material with restricted geometry. We extended the elastic
Gr\"uneisen relation into an effective version which includes the magnetic
counterpart to the vol... | Xiang Zhang, Makars Siskins, Yaroslav Blanter | 2023-09-25T09:43:45Z | http://arxiv.org/abs/2309.13991v2 | # Magnetism on the thermal dynamics of 2D antiferromagnetic membranes
###### Abstract
We developed a theoretical scheme of incorporating the magnetoelastic contribution into the thermal elastic dynamics for the thin membranes of 2D antiferromagnetic material with restricted geometry. We extended the elastic Gruneisen... |
2309.15338 | Counterintuitive patterns on angles and distances between lattice points
in high dimensional hypercubes | Let $\mathcal{S}$ be a finite set of integer points in $\mathbb{R}^d$, which
we assume has many symmetries, and let $P\in\mathbb{R}^d$ be a fixed point. We
calculate the distances from $P$ to the points in $\mathcal{S}$ and compare the
results. In some of the most common cases, we find that they lead to unexpected
conc... | Jack Anderson, Cristian Cobeli, Alexandru Zaharescu | 2023-09-27T00:59:14Z | http://arxiv.org/abs/2309.15338v1 | Counterintuitive patterns on angles and distances between lattice points in high dimensional hypercubes
###### Abstract.
Let \(\mathcal{S}\) be a finite set of integer points in \(\mathbb{R}^{d}\), which we assume has many symmetries, and let \(P\in\mathbb{R}^{d}\) be a fixed point. We calculate the distances from \(... |
2309.14026 | Magneto-optical trap performance for high-bandwidth applications | We study the dynamics of a magneto-optical trap (MOT) operating at
high-bandwidth. We find the absolute importance of high recapture efficiency
between cycles to maintain a practical atom number. We develop a simple model
accounting for MOT trapping forces and pressure induced collisions and validate
with experimental ... | Benjamin Adams, Sachin Kinge, Kai Bongs, Yu-Hung Lien | 2023-09-25T10:43:26Z | http://arxiv.org/abs/2309.14026v1 | # Magneto-optical trap performance for high-bandwidth applications
###### Abstract
We study the dynamics of a magneto-optical trap (MOT) operating at high-bandwidth. We find the absolute importance of high recapture efficiency between cycles to maintain a practical atom number. We develop a simple model accounting fo... |
2309.13749 | A Minkowski type inequality for manifolds with positive spectrum | The classical Minkowski inequality implies that the volume of a bounded
convex domain is controlled from above by the integral of the mean curvature of
its boundary. In this note, we establish an analogous inequality without the
convexity assumption for all bounded smooth domains in a complete manifold with
its bottom ... | Ovidiu Munteanu, Jiaping Wang | 2023-09-24T20:39:13Z | http://arxiv.org/abs/2309.13749v1 | # A Minkowski type inequality for manifolds with positive spectrum
###### Abstract.
The classical Minkowski inequality implies that the volume of a bounded convex domain is controlled from above by the integral of the mean curvature of its boundary. In this note, we establish an analogous inequality without the conve... |
2309.04235 | Quasi-integrability and nonlinear resonances in cold atoms under
modulation | Quantum dynamics of a collection of atoms subjected to phase modulation has
been carefully revisited. We present an exact analysis of the evolution of a
two-level system (represented by a spinor) under the action of a time-dependent
matrix Hamiltonian. The dynamics is shown to evolve on two coupled potential
energy sur... | Rahul Gupta, Manan Jain, Sudhir R. Jain | 2023-09-08T09:42:25Z | http://arxiv.org/abs/2309.04235v1 | # Quasi-integrability and nonlinear resonances in cold atoms under modulation
###### Abstract
Quantum dynamics of a collection of atoms subjected to phase modulation has been carefully revisited. We present an exact analysis of the evolution of a two-level system (represented by a spinor) under the action of a time-d... |
2309.14740 | Fraction Constraint in Partial Wave Analysis | To resolve the non-convex optimization problem in partial wave analysis, this
paper introduces a novel approach that incorporates fraction constraints into
the likelihood function. This method offers significant improvements in both
the efficiency of pole searching and the reliability of resonance selection
within part... | Xiang Dong, Chu-Cheng Pan, Yu-Chang Sun, Ao-Yan Cheng, Ao-Bo Wang, Hao Cai, Kai Zhu | 2023-09-26T08:08:18Z | http://arxiv.org/abs/2309.14740v1 | # Fraction Constraint in Partial Wave Analysis
###### Abstract
To resolve the non-convex optimization problem in partial wave analysis, this paper introduces a novel approach that incorporates fraction constraints into the likelihood function. This method offers significant improvements in both the efficiency of pole... |
2310.20586 | Harmonization-enriched domain adaptation with light fine-tuning for
multiple sclerosis lesion segmentation | Deep learning algorithms utilizing magnetic resonance (MR) images have
demonstrated cutting-edge proficiency in autonomously segmenting multiple
sclerosis (MS) lesions. Despite their achievements, these algorithms may
struggle to extend their performance across various sites or scanners, leading
to domain generalizatio... | Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Savannah P. Hays, Dzung L. Pham, Jerry L. Prince, Aaron Carass | 2023-10-31T16:23:37Z | http://arxiv.org/abs/2310.20586v1 | Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation
###### Abstract
Deep learning algorithms using magnetic resonance (MR) images have demonstrated state-of-the-art performance in the automated segmentation of multiple sclerosis (MS) lesions. Despite their succes... |
2303.18121 | BERTino: an Italian DistilBERT model | The recent introduction of Transformers language representation models
allowed great improvements in many natural language processing (NLP) tasks.
However, if on one hand the performances achieved by this kind of architectures
are surprising, on the other their usability is limited by the high number of
parameters whic... | Matteo Muffo, Enrico Bertino | 2023-03-31T15:07:40Z | http://arxiv.org/abs/2303.18121v1 | # BERTino: an Italian DistilBERT model
###### Abstract
**English.1** The recent introduction of Transformers language representation models allowed great improvements in many natural language processing (NLP) tasks. However, if on one hand the performances achieved by this kind of architectures are surprising, on the... |
2309.11638 | A survey on the semantics of sequential patterns with negation | A sequential pattern with negation, or negative sequential pattern, takes the
form of a sequential pattern for which the negation symbol may be used in front
of some of the pattern's itemsets. Intuitively, such a pattern occurs in a
sequence if negated itemsets are absent in the sequence. Recent work has shown
that dif... | Thomas Guyet | 2023-09-20T21:03:18Z | http://arxiv.org/abs/2309.11638v1 | # A survey on the semantics of sequential patterns with negation
# A survey on the semantics of sequential patterns with negation
Thomas Guyet\({}^{1}\)
\({}^{1}\) Inria - Centre de Lyon, AlstroSight
thomas.guyet@inria.fr
**Abstract** A sequential pattern with negation, or negative sequential pattern [10], takes t... |
2302.14432 | Gap engineering and wave function symmetry in C and BN armchair
nanoribbons | Many are the ways of engineering the band gap of nanoribbons including
application of stress, electric field and functionalization of the edges. In
this article, we investigate separately the effects of these methods on
armchair graphene and boron nitride nanoribbons. By means of density functional
theory calculations,... | Elisa Serrano Richaud, Sylvain Latil, Hakim Amara, Lorenzo Sponza | 2023-02-28T09:21:28Z | http://arxiv.org/abs/2302.14432v2 | # Impact of edge morphology and chemistry on nanoribbons' gapwidth
###### Abstract
In this work, we scrutinise theoretically how the gap of C and BN armchair nanoribbons changes upon variations of the bond length between edge atoms and their distance from passivating species. Our DFT calculations indicate that the ga... |
2309.10526 | NSOAMT -- New Search Only Approach to Machine Translation | Translation automation mechanisms and tools have been developed for several
years to bring people who speak different languages together. A "new search
only approach to machine translation" was adopted to tackle some of the
slowness and inaccuracy of the other technologies. The idea is to develop a
solution that, by in... | João Luís, Diogo Cardoso, José Marques, Luís Campos | 2023-09-19T11:12:21Z | http://arxiv.org/abs/2309.10526v1 | # NSOAMT - New Search Only Approach to Machine Translation
###### Abstract
Translation automation mechanisms and tools have been developed for several years to bring people who speak different languages together. A "new search only approach to machine translation" was adopted to tackle some of the slowness and inaccu... |
2309.09063 | Blind Deconvolution of Sparse Graph Signals in the Presence of
Perturbations | Blind deconvolution over graphs involves using (observed) output graph
signals to obtain both the inputs (sources) as well as the filter that drives
(models) the graph diffusion process. This is an ill-posed problem that
requires additional assumptions, such as the sources being sparse, to be
solvable. This paper addre... | Victor M. Tenorio, Samuel Rey, Antonio G. Marques | 2023-09-16T18:07:16Z | http://arxiv.org/abs/2309.09063v1 | # Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations
###### Abstract
Blind deconvolution over graphs involves using (observed) output graph signals to obtain both the inputs (sources) as well as the filter that drives (models) the graph diffusion process. This is an ill-posed problem that re... |
2310.04424 | Stability Analysis of Non-Linear Classifiers using Gene Regulatory
Neural Network for Biological AI | The Gene Regulatory Network (GRN) of biological cells governs a number of key
functionalities that enables them to adapt and survive through different
environmental conditions. Close observation of the GRN shows that the structure
and operational principles resembles an Artificial Neural Network (ANN), which
can pave t... | Adrian Ratwatte, Samitha Somathilaka, Sasitharan Balasubramaniam, Assaf A. Gilad | 2023-09-14T21:37:38Z | http://arxiv.org/abs/2310.04424v1 | # Stability Analysis of Non-Linear Classifiers using Gene Regulatory Neural Network for Biological AI
###### Abstract
The Gene Regulatory Network (GRN) of biological cells governs a number of key functionalities that enables them to adapt and survive through different environmental conditions. Close observation of th... |
2301.13619 | Brillouin and Kerr nonlinearities of a low-index silicon oxynitride
platform | Nonlinear optical effects including stimulated Brillouin scattering (SBS) and
four-wave mixing (FWM) play an important role in microwave photonics, optical
frequency combs, and quantum photonics. Harnessing SBS and FWM in a low-loss
and versatile integrated platform would open the path to building large-scale
Brillouin... | Kaixuan Ye, Yvan Klaver, Oscar A Jimenez Gordillo, Roel Botter, Okky Daulay, Francesco Morichetti, Andrea Melloni, David Marpaung | 2023-01-31T13:23:38Z | http://arxiv.org/abs/2301.13619v1 | # Brillouin and Kerr nonlinearities of a low-index silicon oxynitride platform
###### Abstract
Nonlinear optical effects including stimulated Brillouin scattering (SBS) and four-wave mixing (FWM) play an important role in microwave photonics, optical frequency combs, and quantum photonics. Harnessing SBS and FWM in a... |
2309.10532 | A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning
Using Contrastive Perceptual and Conceptual Processing | We introduce a new neural architecture for solving visual abstract reasoning
tasks inspired by human cognition, specifically by observations that human
abstract reasoning often interleaves perceptual and conceptual processing as
part of a flexible, iterative, and dynamic cognitive process. Inspired by this
principle, o... | Yuan Yang, Deepayan Sanyal, James Ainooson, Joel Michelson, Effat Farhana, Maithilee Kunda | 2023-09-19T11:18:01Z | http://arxiv.org/abs/2309.10532v3 | A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing
###### Abstract
We introduce a new neural architecture for solving visual abstract reasoning tasks inspired by human cognition, specifically by observations that human abstract reasoning oft... |
2301.00103 | Renormalization of Ising cage-net model and generalized foliation | A large class of type-I fracton models, including the X-cube model, have been
found to be fixed points of the foliated renormalization group (RG). The system
size of such foliated models can be changed by adding or removing decoupled
layers of $2$D topological states and continuous deformation of the
Hamiltonian. In th... | Zongyuan Wang, Xiuqi Ma, David T. Stephen, Michael Hermele, Xie Chen | 2022-12-31T03:02:38Z | http://arxiv.org/abs/2301.00103v2 | # Renormalization of Ising cage-net model and generalized foliation
###### Abstract
A large class of type-I fracton models, including the X-cube model, have been found to be fixed points of the foliated renormalization group (RG). The system size of such _foliated_ models can be changed by adding or removing decouple... |
2309.05881 | On the pre- and post-positional semi-random graph processes | We study the semi-random graph process, and a variant process recently
suggested by Nick Wormald. We show that these two processes are asymptotically
equally fast in constructing a semi-random graph $G$ that has property
${\mathcal P}$, for the following examples of ${\mathcal P}$:
- ${\mathcal P}$ is the set of grap... | Pu Gao, Hidde Koerts | 2023-09-12T00:04:30Z | http://arxiv.org/abs/2309.05881v1 | # On the pre- and post-positional semi-random graph processes
###### Abstract
We study the semi-random graph process, and a variant process recently suggested by Nick Wormald. We show that these two processes are asymptotically equally fast in constructing a semi-random graph \(G\) that has property \(\mathcal{P}\), ... |
2310.20592 | Strongly Magnetized Tidal Disruption Event Disks via Stream Injection in
GRMHD | Magnetically arrested accretion disks (MADs) around a rapidly rotating black
hole (BH) have been proposed as a model for jetted tidal disruption events
(TDEs). However, the dynamics of strongly magnetized disks in a more realistic
simulation which can mimic the chaotic dynamics during a TDE have previously
been unexplo... | Brandon Curd, Richard Anantua, Hayley West, Joaquin Duran | 2023-10-31T16:30:02Z | http://arxiv.org/abs/2310.20592v1 | # Strongly Magnetized Tidal Disruption Event Disks via Stream Injection in GRMHD
###### Abstract
Magnetically arrested accretion disks (MADs) around a rapidly rotating black hole (BH) have been proposed as a model for jetted tidal disruption events (TDEs). However, the dynamics of strongly magnetized disks in a more ... |
2309.13985 | Physics-Driven ML-Based Modelling for Correcting Inverse Estimation | When deploying machine learning estimators in science and engineering (SAE)
domains, it is critical to avoid failed estimations that can have disastrous
consequences, e.g., in aero engine design. This work focuses on detecting and
correcting failed state estimations before adopting them in SAE inverse
problems, by util... | Ruiyuan Kang, Tingting Mu, Panos Liatsis, Dimitrios C. Kyritsis | 2023-09-25T09:37:19Z | http://arxiv.org/abs/2309.13985v2 | # Physics-Driven ML-Based Modelling for Correcting Inverse Estimation +
###### Abstract
When deploying machine learning estimators in science and engineering (SAE) domains, it is critical to avoid failed estimations that can have disastrous consequences, e.g., in aero engine design. This work focuses on detecting and... |
2309.07728 | Predictions of the Strange partner of $T_{cc}$ in the quark
delocalization color screening model | Inspired by the detection of $T_{cc}$ tetraquark state by LHCb Collaboration,
we preform a systemical investigation of the low-lying doubly heavy charm
tetraquark states with strangeness in the quark delocalization color screening
model in the present work. Two kinds of configurations, the meson-meson
configuration and... | Xuejie Liu, Dianyong Chen, Hongxia Huang, Jialun Ping | 2023-09-14T14:04:01Z | http://arxiv.org/abs/2309.07728v1 | # Predictions of the Strange partner of \(T_{cc}\) in the quark delocalization color screening model
###### Abstract
Inspired by the detection of \(T_{cc}\) tetraquark state by LHCb Collaboration, we preform a systemical investigation of the low-lying doubly heavy charm tetraquark states with strangeness in the quark... |
2309.10254 | LLM Platform Security: Applying a Systematic Evaluation Framework to
OpenAI's ChatGPT Plugins | Large language model (LLM) platforms, such as ChatGPT, have recently begun
offering an app ecosystem to interface with third-party services on the
internet. While these apps extend the capabilities of LLM platforms, they are
developed by arbitrary third parties and thus cannot be implicitly trusted.
Apps also interface... | Umar Iqbal, Tadayoshi Kohno, Franziska Roesner | 2023-09-19T02:20:10Z | http://arxiv.org/abs/2309.10254v2 | # LLM Platform Security:
###### Abstract
Large language model (LLM) platforms, such as ChatGPT, have recently begun offering a _plugin ecosystem_ to interface with third-party services on the internet. While these plugins extend the capabilities of LLM platforms, they are developed by arbitrary third parties and thus... |
2309.00047 | Dynamic-ADAPT-QAOA: An algorithm with shallow and noise-resilient
circuits | The quantum approximate optimization algorithm (QAOA) is an appealing
proposal to solve NP problems on noisy intermediate-scale quantum (NISQ)
hardware. Making NISQ implementations of the QAOA resilient to noise requires
short ansatz circuits with as few CNOT gates as possible. Here, we present
Dynamic-ADAPT-QAOA. Our ... | Nikola Yanakiev, Normann Mertig, Christopher K. Long, David R. M. Arvidsson-Shukur | 2023-08-31T18:00:02Z | http://arxiv.org/abs/2309.00047v1 | # Dynamic-ADAPT-QAOA: An algorithm with shallow and noise-resilient circuits
###### Abstract
The quantum approximate optimization algorithm (QAOA) is an appealing proposal to solve NP problems on noisy intermediate-scale quantum (NISQ) hardware. Making NISQ implementations of the QAOA resilient to noise requires shor... |
2309.06436 | Holographic Tensor Networks with Bulk Gauge Symmetries | Tensor networks are useful toy models for understanding the structure of
entanglement in holographic states and reconstruction of bulk operators within
the entanglement wedge. They are, however, constrained to only prepare
so-called "fixed-area states" with flat entanglement spectra, limiting their
utility in understan... | Xi Dong, Sean McBride, Wayne W. Weng | 2023-09-12T17:56:02Z | http://arxiv.org/abs/2309.06436v1 | # Holographic Tensor Networks with Bulk Gauge Symmetries
###### Abstract
Tensor networks are useful toy models for understanding the structure of entanglement in holographic states and reconstruction of bulk operators within the entanglement wedge. They are, however, constrained to only prepare so-called "fixed-area ... |
2305.00392 | Bayesian Inference of Supernova Neutrino Spectra with Multiple Detectors | We implement the Bayesian inference to retrieve energy spectra of all
neutrinos from a galactic core-collapse supernova (CCSN). To achieve high
statistics and full sensitivity to all flavours of neutrinos, we adopt a
combination of several reaction channels from different large-scale neutrino
observatories, namely inve... | Xu-Run Huang, Chuan-Le Sun, Lie-Wen Chen, Jun Gao | 2023-04-30T05:26:21Z | http://arxiv.org/abs/2305.00392v2 | # Bayesian Inference of Supernova Neutrino Spectra with Multiple Detectors
###### Abstract
We implement the Bayesian inference to retrieve energy spectra of all neutrinos from a galactic core-collapse supernova (CCSN). To achieve high statistics and full sensitivity to all flavours of neutrinos, we adopt a combinatio... |
2305.01503 | NewsPanda: Media Monitoring for Timely Conservation Action | Non-governmental organizations for environmental conservation have a
significant interest in monitoring conservation-related media and getting
timely updates about infrastructure construction projects as they may cause
massive impact to key conservation areas. Such monitoring, however, is
difficult and time-consuming. ... | Sedrick Scott Keh, Zheyuan Ryan Shi, David J. Patterson, Nirmal Bhagabati, Karun Dewan, Areendran Gopala, Pablo Izquierdo, Debojyoti Mallick, Ambika Sharma, Pooja Shrestha, Fei Fang | 2023-04-30T07:15:29Z | http://arxiv.org/abs/2305.01503v1 | # NewsPanda: Media Monitoring for Timely Conservation Action
###### Abstract
Non-governmental organizations for environmental conservation have a significant interest in monitoring conservation-related media and getting timely updates about infrastructure construction projects as they may cause massive impact to key ... |
2304.04752 | A Practitioner's Guide to Bayesian Inference in Pharmacometrics using
Pumas | This paper provides a comprehensive tutorial for Bayesian practitioners in
pharmacometrics using Pumas workflows. We start by giving a brief motivation of
Bayesian inference for pharmacometrics highlighting limitations in existing
software that Pumas addresses. We then follow by a description of all the steps
of a stan... | Mohamed Tarek, Jose Storopoli, Casey Davis, Chris Elrod, Julius Krumbiegel, Chris Rackauckas, Vijay Ivaturi | 2023-03-31T04:00:53Z | http://arxiv.org/abs/2304.04752v1 | # A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas
###### Abstract
This paper provides a comprehensive tutorial for Bayesian practitioners in pharmacometrics using Pumas workflows. We start by giving a brief motivation of Bayesian inference for pharmacometrics highlighting limitations in ex... |
2309.12872 | Deep regression learning with optimal loss function | In this paper, we develop a novel efficient and robust nonparametric
regression estimator under a framework of feedforward neural network. There are
several interesting characteristics for the proposed estimator. First, the loss
function is built upon an estimated maximum likelihood function, who integrates
the informa... | Xuancheng Wang, Ling Zhou, Huazhen Lin | 2023-09-22T13:53:25Z | http://arxiv.org/abs/2309.12872v1 | # Deep regression learning with optimal loss function
###### Abstract
Due to powerful function fitting ability and effective training algorithms of neural networks, in this paper, we develop a novel efficient and robust nonparametric regression estimator under a framework of feedforward neural network (FNN). There ar... |
2309.06807 | Bayesian uncertainty-weighted loss for improved generalisability on
polyp segmentation task | While several previous studies have devised methods for segmentation of
polyps, most of these methods are not rigorously assessed on multi-center
datasets. Variability due to appearance of polyps from one center to another,
difference in endoscopic instrument grades, and acquisition quality result in
methods with good ... | Rebecca S. Stone, Pedro E. Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali | 2023-09-13T08:54:22Z | http://arxiv.org/abs/2309.06807v2 | # Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
###### Abstract
While several previous studies have devised methods for segmentation of polyps, most of these methods are not rigorously assessed on multi-center datasets. Variability due to appearance of polyps from one cen... |
2301.13396 | Study of Optical Networks, 5G, Artificial Intelligence and Their
Applications | This paper discusses the application of artificial intelligence (AI)
technology in optical communication networks and 5G. It primarily introduces
representative applications of AI technology and potential risks of AI
technology failure caused by the openness of optical communication networks,
and proposes some coping s... | Quanda Zhang, Qi Zhang | 2023-01-31T04:06:18Z | http://arxiv.org/abs/2301.13396v1 | # Study of Optical Networks, 5G, Artificial Intelligence and Their Applications
###### Abstract
This paper discusses the application of artificial intelligence (AI) technology in optical communication networks and 5G. It primarily introduces representative applications of AI technology and potential risks of AI techn... |
2309.06813 | A Strong Blend in the Morning: Studying the Circumgalactic Medium Before
Cosmic Noon with Strong, Blended Lyman-$α$ Forest Systems | We study of the properties of a new class of circumgalactic medium absorbers
identified in the Lyman-$\alpha$ forest: "Strong, Blended Lyman-$\alpha$" (or
SBLA) absorption systems. We study SBLAs at $2.4<z<3.1$ in SDSS-IV/eBOSS
spectra by their strong extended Lyman-$\alpha$ absorption complexes covering
138 $\,\,{\rm ... | Sean Morrison, Debopam Som, Matthew M. Pieri, Ignasi Pérez-Ràfols, Michael Blomqvist | 2023-09-13T09:04:03Z | http://arxiv.org/abs/2309.06813v2 | # A Strong Blend in the Morning:
###### Abstract
We study of the properties of a new class of circumgalactic medium absorbers identified in the Lyman-\(\alpha\) forest: "Strong, Blended Lyman-\(\alpha\)" (or SBLA) absorption systems. We study SBLAs at \(2.4<z<3.1\) in SDSS-IV/eBOSS spectra by their strong extended Ly... |
2301.13382 | Numeracy from Literacy: Data Science as an Emergent Skill from Large
Language Models | Large language models (LLM) such as OpenAI's ChatGPT and GPT-3 offer unique
testbeds for exploring the translation challenges of turning literacy into
numeracy. Previous publicly-available transformer models from eighteen months
prior and 1000 times smaller failed to provide basic arithmetic. The
statistical analysis o... | David Noever, Forrest McKee | 2023-01-31T03:14:57Z | http://arxiv.org/abs/2301.13382v1 | # Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models
###### Abstract
Large language models (LLM) such as OpenAI's ChatGPT and GPT-3 offer unique testbeds for exploring the translation challenges of turning literacy into numeracy. Previous publicly-available transformer models from ei... |
2309.04962 | Scalar fields around a loop quantum gravity black hole in de Sitter
spacetime: Quasinormal modes, late-time tails and strong cosmic censorship | Loop quantum gravity, as one branch of quantum gravity, holds the potential
to explore the fundamental nature of black holes. Recently, according to the
quantum Oppenheimer-Snyder model in loop quantum cosmology, a novel loop
quantum corrected black hole in de Sitter spacetime has been discovered. Here,
we first invest... | Cai-Ying Shao, Cong Zhang, Wei Zhang, Cheng-Gang Shao | 2023-09-10T08:32:49Z | http://arxiv.org/abs/2309.04962v2 | # Strong cosmic censorship for a black hole in loop quantum gravity
###### Abstract
A fine gravitational theory is essentially expected to deal with the problem of spacetime singularities. Loop quantum gravity as one branch of quantum gravity is potential to explore the nature of black holes. Recently, according to t... |
2307.16612 | Light, Reliable Spanners | A \emph{$\nu$-reliable spanner} of a metric space $(X,d)$, is a (dominating)
graph $H$, such that for any possible failure set $B\subseteq X$, there is a
set $B^+$ just slightly larger $|B^+|\le(1+\nu)\cdot|B|$, and all distances
between pairs in $X\setminus B^+$ are (approximately) preserved in $H\setminus
B$. Recentl... | Arnold Filtser, Yuval Gitlitz, Ofer Neiman | 2023-07-31T12:39:18Z | http://arxiv.org/abs/2307.16612v1 | # Light, Reliable Spanners
###### Abstract
A _\(\nu\)-reliable spanner_ of a metric space \((X,d)\), is a (dominating) graph \(H\), such that for any possible failure set \(B\subseteq X\), there is a set \(B^{+}\) just slightly larger \(|B^{+}|\leq(1+\nu)\cdot|B|\), and all distances between pairs in \(X\setminus B^{... |
2307.00070 | Map-based cosmology inference with weak lensing -- information content
and its dependence on the parameter space | Field-level inference is emerging as a promising technique for optimally
extracting information from cosmological datasets. Indeed, previous analyses
have shown field-based inference produces tighter parameter constraints than
power spectrum analyses. However, estimates of the detailed quantitative gain
in constraining... | Supranta S. Boruah, Eduardo Rozo | 2023-06-30T18:20:05Z | http://arxiv.org/abs/2307.00070v1 | Map-based cosmology inference with weak lensing - information content and its dependence on the parameter space
###### Abstract
Field-level inference is emerging as a promising technique for optimally extracting information from cosmological datasets. Indeed, previous analyses have shown field-based inference produce... |
2309.14581 | Assessing Utility of Differential Privacy for RCTs | Randomized control trials, RCTs, have become a powerful tool for assessing
the impact of interventions and policies in many contexts. They are considered
the gold-standard for inference in the biomedical fields and in many social
sciences. Researchers have published an increasing number of studies that rely
on RCTs for... | Soumya Mukherjee, Aratrika Mustafi, Aleksandra Slavković, Lars Vilhuber | 2023-09-26T00:10:32Z | http://arxiv.org/abs/2309.14581v1 | # Assessing Utility of Differential Privacy for RCTs
###### Abstract
Randomized control trials, RCT, have become a powerful tool for assessing the impact of interventions and policies in many contexts. They are considered the gold-standard for inference in the biomedical fields and in many social sciences. Researcher... |
2309.04792 | Individual subject evaluated difficulty of adjustable mazes generated
using quantum annealing | In this paper, the maze generation using quantum annealing is proposed. We
reformulate a standard algorithm to generate a maze into a specific form of a
quadratic unconstrained binary optimization problem suitable for the input of
the quantum annealer. To generate more difficult mazes, we introduce an
additional cost f... | Yuto Ishikawa, Takuma Yoshihara, Keita Okamura, Masayuki Ohzeki | 2023-09-09T13:36:27Z | http://arxiv.org/abs/2309.04792v2 | # Individual subject evaluated difficulty of adjustable mazes generated using quantum annealing
###### Abstract
In this paper, the maze generation using quantum annealing is proposed. We reformulate a standard algorithm to generate a maze into a specific form of a quadratic unconstrained binary optimization problem s... |
2309.08816 | EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object
Understanding | Object understanding in egocentric visual data is arguably a fundamental
research topic in egocentric vision. However, existing object datasets are
either non-egocentric or have limitations in object categories, visual content,
and annotation granularities. In this work, we introduce EgoObjects, a
large-scale egocentri... | Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Chang Culatana, Roshan Sumbaly, Zhicheng Yan | 2023-09-15T23:55:43Z | http://arxiv.org/abs/2309.08816v1 | # EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained
###### Abstract
Object understanding in egocentric visual data is arguably a fundamental research topic in egocentric vision. However, existing object datasets are either non-egocentric or have limitations in object categories, visual content, and annota... |
2309.03957 | Orbital magnetization of a metal is not a bulk property in the
mesoscopic regime | We find that, in the mesoscopic regime, modification of the material's
surface can induce an extensive change of the material's magnetic moment. In
other words, perturbation of order $N^2$ atoms on the surface of a
3-dimensional solid can change the magnetic moment proportionally to $N^3$.
When the solid's surface is p... | Kevin Moseni, Sinisa Coh | 2023-09-07T18:06:31Z | http://arxiv.org/abs/2309.03957v3 | # Surface sensitivity of magnetization in the mesoscopic regime
###### Abstract
Some of the magnetization of a solid originates from orbital currents flowing on its surface. When the solid's surface is perturbed, it triggers two changes in the magnetization. One arises from variations of the electron wavefunction and... |
2303.17979 | Robust Detection for Mills Cross Sonar | Multi-array systems are widely used in sonar and radar applications. They can
improve communication speeds, target discrimination, and imaging. In the case
of a multibeam sonar system that can operate two receiving arrays, we derive
new adaptive to improve detection capabilities compared to traditional sonar
detection ... | Olivier Lerda, Ammar Mian, Guillaume Ginolhac, Jean-Philippe Ovarlez, Didier Charlot | 2023-03-31T11:31:18Z | http://arxiv.org/abs/2303.17979v2 | # Robust Detection for Mills Cross Sonar
###### Abstract
Multi-array systems are widely used in sonar and radar applications. They can improve communication speeds, target discrimination, and imaging. In the case of a multibeam sonar system that can operate two receiving arrays, we derive new adaptive to improve dete... |
2309.10095 | A Semi-Supervised Approach for Power System Event Identification | Event identification is increasingly recognized as crucial for enhancing the
reliability, security, and stability of the electric power system. With the
growing deployment of Phasor Measurement Units (PMUs) and advancements in data
science, there are promising opportunities to explore data-driven event
identification v... | Nima Taghipourbazargani, Lalitha Sankar, Oliver Kosut | 2023-09-18T19:07:41Z | http://arxiv.org/abs/2309.10095v2 | # A Semi-Supervised Approach for Power System Event Identification
###### Abstract
Event identification is increasingly recognized as crucial for enhancing the reliability, security, and stability of the electric power system. With the growing deployment of Phasor Measurement Units (PMUs) and advancements in data sci... |
2309.16382 | RLLTE: Long-Term Evolution Project of Reinforcement Learning | We present RLLTE: a long-term evolution, extremely modular, and open-source
framework for reinforcement learning (RL) research and application. Beyond
delivering top-notch algorithm implementations, RLLTE also serves as a toolkit
for developing algorithms. More specifically, RLLTE decouples the RL algorithms
completely... | Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng | 2023-09-28T12:30:37Z | http://arxiv.org/abs/2309.16382v1 | # RLLTE: Long-Term Evolution Project of Reinforcement Learning
###### Abstract
We present RLLTE: a long-term evolution, extremely modular, and open-source framework for reinforcement learning (RL) research and application. Beyond delivering top-notch algorithm implementations, RLLTE also serves as a toolkit for devel... |
2310.00483 | Prompting Code Interpreter to Write Better Unit Tests on Quixbugs
Functions | Unit testing is a commonly-used approach in software engineering to test the
correctness and robustness of written code. Unit tests are tests designed to
test small components of a codebase in isolation, such as an individual
function or method. Although unit tests have historically been written by human
programmers, r... | Vincent Li, Nick Doiron | 2023-09-30T20:36:23Z | http://arxiv.org/abs/2310.00483v1 | # Prompting Code Interpreter to Write Better Unit Tests on Quixbugs Functions
###### Abstract
Unit testing is a commonly-used approach in software engineering to test the correctness and robustness of written code. Unit tests are tests designed to test small components of a codebase in isolation, such as an individua... |
2309.05473 | Machine learning the dimension of a Fano variety | Fano varieties are basic building blocks in geometry - they are `atomic
pieces' of mathematical shapes. Recent progress in the classification of Fano
varieties involves analysing an invariant called the quantum period. This is a
sequence of integers which gives a numerical fingerprint for a Fano variety. It
is conjectu... | Tom Coates, Alexander M. Kasprzyk, Sara Veneziale | 2023-09-11T14:13:30Z | http://arxiv.org/abs/2309.05473v1 | # Machine learning the dimension of a Fano variety
###### Abstract.
Fano varieties are basic building blocks in geometry - they are 'atomic pieces' of mathematical shapes. Recent progress in the classification of Fano varieties involves analysing an invariant called the quantum period. This is a sequence of integers ... |
2308.04444 | Changes in Policy Preferences in German Tweets during the COVID Pandemic | Online social media have become an important forum for exchanging political
opinions. In response to COVID measures citizens expressed their policy
preferences directly on these platforms. Quantifying political preferences in
online social media remains challenging: The vast amount of content requires
scalable automate... | Felix Biessmann | 2023-07-31T16:07:28Z | http://arxiv.org/abs/2308.04444v1 | # Changes in Policy Preferences in German
###### Abstract
Online social media have become an important forum for exchanging political opinions. In response to COVID measures citizens expressed their policy preferences directly on these platforms. Quantifying political preferences in online social media remains challe... |
2309.07264 | Small error algorithms for tropical group testing | We consider a version of the classical group testing problem motivated by PCR
testing for COVID-19. In the so-called tropical group testing model, the
outcome of a test is the lowest cycle threshold (Ct) level of the individuals
pooled within it, rather than a simple binary indicator variable. We introduce
the tropical... | Vivekanand Paligadu, Oliver Johnson, Matthew Aldridge | 2023-09-13T18:56:38Z | http://arxiv.org/abs/2309.07264v2 | # Small error algorithms for tropical group testing
###### Abstract
We consider a version of the classical group testing problem motivated by PCR testing for COVID-19. In the so-called tropical group testing model, the outcome of a test is the lowest cycle threshold (Ct) level of the individuals pooled within it, rat... |
2309.10718 | DRIVE: Data-driven Robot Input Vector Exploration | An accurate motion model is a fundamental component of most autonomous
navigation systems. While much work has been done on improving model
formulation, no standard protocol exists for gathering empirical data required
to train models. In this work, we address this issue by proposing Data-driven
Robot Input Vector Expl... | Dominic Baril, Simon-Pierre Deschênes, Luc Coupal, Cyril Goffin, Julien Lépine, Philippe Giguère, François Pomerleau | 2023-09-19T16:02:23Z | http://arxiv.org/abs/2309.10718v2 | # DRIVE: Data-driven Robot Input Vector Exploration
###### Abstract
An accurate motion model is a fundamental component of most autonomous navigation systems. While much work has been done on improving model formulation, no standard protocol exists for gathering empirical data required to train models. In this work, ... |
2309.16369 | Bringing the Discussion of Minima Sharpness to the Audio Domain: a
Filter-Normalised Evaluation for Acoustic Scene Classification | The correlation between the sharpness of loss minima and generalisation in
the context of deep neural networks has been subject to discussion for a long
time. Whilst mostly investigated in the context of selected benchmark data sets
in the area of computer vision, we explore this aspect for the acoustic scene
classific... | Manuel Milling, Andreas Triantafyllopoulos, Iosif Tsangko, Simon David Noel Rampp, Björn Wolfgang Schuller | 2023-09-28T12:13:23Z | http://arxiv.org/abs/2309.16369v2 | # Bringing the Discussion of Minima Sharpness to the Audio Domain:
###### Abstract
The correlation between the sharpness of loss minima and generalisation in the context of deep neural networks has been subject to discussion for a long time. Whilst mostly investigated in the context of selected benchmark data sets in... |
2309.09249 | LiteTrack: Layer Pruning with Asynchronous Feature Extraction for
Lightweight and Efficient Visual Tracking | The recent advancements in transformer-based visual trackers have led to
significant progress, attributed to their strong modeling capabilities.
However, as performance improves, running latency correspondingly increases,
presenting a challenge for real-time robotics applications, especially on edge
devices with comput... | Qingmao Wei, Bi Zeng, Jianqi Liu, Li He, Guotian Zeng | 2023-09-17T12:01:03Z | http://arxiv.org/abs/2309.09249v1 | # LiteTrack: Layer Pruning with Asynchronous Feature Extraction
###### Abstract
The recent advancements in transformer-based visual trackers have led to significant progress, attributed to their strong modeling capabilities. However, as performance improves, running latency correspondingly increases, presenting a cha... |
2308.00144 | Logical Synchrony and the bittide Mechanism | We introduce logical synchrony, a framework that allows distributed computing
to be coordinated as tightly as in synchronous systems without the distribution
of a global clock or any reference to universal time. We develop a model of
events called a logical synchrony network, in which nodes correspond to
processors and... | Sanjay Lall, Calin Cascaval, Martin Izzard, Tammo Spalink | 2023-07-31T20:25:30Z | http://arxiv.org/abs/2308.00144v3 | # Logical Synchrony and the bittide Mechanism
###### Abstract
We introduce logical synchrony, a framework that allows distributed computing to be coordinated as tightly as in synchronous systems without the distribution of a global clock or any reference to universal time. We develop a model of events called a logica... |
2309.15106 | Improved constraints for axion-like particles from 3-photon events at
$e^+e^-$ colliders | Axions and axion-like particles (ALPs) are one of the most widely discussed
extensions of the Standard Model when it comes to the strong CP problem and
dark matter candidates. Current experiments are focused on the indirect
searches of invisible pseudoscalars in a wide parameter range. In this paper we
investigate limi... | Aleksandr Pustyntsev, Marc Vanderhaeghen | 2023-09-26T17:54:38Z | http://arxiv.org/abs/2309.15106v2 | # Improved constraints for axion-like particles from 3-photon events at \(e^{+}e^{-}\) colliders
###### Abstract
Axions and axion-like particles (ALPs) are one of the most widely discussed extensions of the Standard Model when it comes to the strong CP problem and dark matter candidates. Current experiments are focus... |
2303.17986 | A new boson expansion theory utilizing a norm operator | We propose a new boson expansion method using a norm operator. The small
parameter expansion, in which the boson approximation becomes the zeroth-order
approximation, requires the double commutation relations between phonon
operators that are not closed between the phonon excitation modes adopted as
boson excitations. ... | Kimikazu Taniguchi | 2023-03-31T11:49:26Z | http://arxiv.org/abs/2303.17986v2 | # A new boson expansion theory utilizing a norm operator
###### Abstract
We propose a new boson expansion method using a norm operator. The small parameter expansion, in which the boson approximation becomes the zeroth-order approximation, requires the double commutation relations between phonon operators that are no... |
2309.03770 | Neural lasso: a unifying approach of lasso and neural networks | In recent years, there is a growing interest in combining techniques
attributed to the areas of Statistics and Machine Learning in order to obtain
the benefits of both approaches. In this article, the statistical technique
lasso for variable selection is represented through a neural network. It is
observed that, althou... | David Delgado, Ernesto Curbelo, Danae Carreras | 2023-09-07T15:17:10Z | http://arxiv.org/abs/2309.03770v1 | # Neural lasso: a unifying approach of lasso and neural networks
###### Abstract
In recent years, there is a growing interest in combining techniques attributed to the areas of Statistics and Machine Learning in order to obtain the benefits of both approaches. In this article, the statistical technique lasso for vari... |
2309.11374 | Cooperative Spin Amplification | Quantum amplification is recognized as a key resource for precision
measurements. However, most conventional paradigms employ an ensemble of
independent particles that usually limit the performance of quantum
amplification in gain, spectral linewidth, etc. Here we demonstrate a new
signal amplification using cooperativ... | Minxiang Xu, Min Jiang, Yuanhong Wang, Haowen Su, Ying Huang, Xinhua Peng | 2023-09-20T14:55:34Z | http://arxiv.org/abs/2309.11374v1 | # Cooperative Spin Amplification
###### Abstract
Quantum amplification is recognized as a key resource for precision measurements. However, most conventional paradigms employ an ensemble of independent particles that usually limit the performance of quantum amplification in gain, spectral linewidth, etc. Here we demo... |
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