3 papers
cs.LG2026
Interpreting Reinforcement Learning Agents with Susceptibilities
Chris Elliott, Einar Urdshals, David Quarel +1
Susceptibilities are a technique for neural network interpretability that studies the response of posterior expectation values of observables to perturbations of the loss. We gener…
cs.LG2026
Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
Chris Elliott, Daniel Murfet
These notes introduce the theory of susceptibilities as developed in [arXiv:2504.18274, arXiv:2601.12703] for interpreting neural networks. The susceptibility of an observable …
math.ST2026
Linear Response Estimators for Singular Statistical Models
Chris Elliott, Daniel Murfet
We define susceptibilities as a measure of the response of an observable quantity of a parameterized statistical model to a perturbation of the data for a general class of observab…