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20242026
most citedFirst-Passage Approach to Optimizing Perturbations for Improved Training of Machine Learning Models

3 citations · 6 across the 9 of their papers we have counts for

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physics.chem-ph2026

Stochastic Resetting: A Non-Equilibrium Framework for Prediction, Inference and Design

Tommer D. Keidar, Sagi Meir, Nir Sherf +4

Stochastic resetting has evolved from a simple model of diffusive search acceleration into a general framework for predicting, inferring, and controlling stochastic dynamics far fr…

physics.chem-ph2024

Accelerating Molecular Dynamics through Informed Resetting

Jonathan R. Church, Ofir Blumer, Tommer D. Keidar +3

We present a procedure for enhanced sampling of molecular dynamics simulations through informed stochastic resetting. Many phenomena, such as protein folding and crystal nucleation…