Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mapping Machine-Learned Physics into a Human-Readable Space   We present a technique for translating a black-box machine-learned classifier
operating on a high-dimensional input space into a small set of
human-interpretable observables that can be combined to make the same
classification decisions. We iteratively select these observables from a large
space of high-level discriminants by finding those with the highest decision
similarity relative to the black box, quantified via a metric we introduce that
evaluates the relative ordering of pairs of inputs. Successive iterations focus
only on the subset of input pairs that are misordered by the current set of
observables. This method enables simplification of the machine-learning
strategy, interpretation of the results in terms of well-understood physical
concepts, validation of the physical model, and the potential for new insights
into the nature of the problem itself. As a demonstration, we apply our
approach to the benchmark task of jet classification in collider physics, where
a convolutional neural network acting on calorimeter jet images outperforms a
set of six well-known jet substructure observables. Our method maps the
convolutional neural network into a set of observables called energy flow
polynomials, and it closes the performance gap by identifying a class of
observables with an interesting physical interpretation that has been
previously overlooked in the jet substructure literature.

13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
1
The categories of this paper are: cs
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph