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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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5 papers · 1 filter

cond-mat.stat-mech2024

Universal Linear Response of First-Passage Kinetics: A Framework for Prediction and Inference

Tommer D. Keidar, Shlomi Reuveni

First-passage processes are pervasive across numerous scientific fields, yet a general framework for understanding their response to external perturbations remains elusive. While t…

cond-mat.stat-mech2024★ 2 cited

Smart Resetting: An Energy-Efficient Strategy for Stochastic Search Processes

Ofir Tal-Friedman, Tommer D. Keidar, Shlomi Reuveni +1

Stochastic resetting, a method for accelerating target search in random processes, often incurs temporal and energetic costs. For a diffusing particle, a lower bound exists for the…

cond-mat.stat-mech2024★ 1 cited

Adaptive Resetting for Informed Search Strategies and the Design of Non-equilibrium Steady-states

Tommer D. Keidar, Ofir Blumer, Barak Hirshberg +1

Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently emerged as a powerful tool for accelerating processes ranging from queuing system…

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…

cond-mat.stat-mech2024

Resetting as a swift equilibration protocol in an anharmonic potential

Rémi Goerlich, Tommer D. Keidar, Yael Roichman

We present and characterize a method to accelerate the relaxation of a Brownian object between two distinct equilibrium states. Instead of relying on a deterministic time-dependent…