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cs.PL2026
GradInf: Gradient Estimation as Probabilistic Inference
Gaurav Arya, Mathieu Huot, Moritz Schauer +2
Gradient estimation -- the task of computing the gradient of the expected value of a probabilistic program -- has diverse applications in scientific computing, but is notoriously d…
cs.LG2026
Causality--Δ: Jacobian-Based Dependency Analysis in Flow Matching Models
Reza Rezvan, Gustav Gille, Moritz Schauer +1
Flow matching learns a velocity field that transports a base distribution to data. We study how small latent perturbations propagate through these flows and show that Jacobian-vect…