3 citations · 6 across the 9 of their papers we have counts for
9 papers
Localization Delocalization Transition in Diffusion with Adaptive Resetting
Tommer D. Keidar, Shlomi Reuveni
Stochastic resetting can localize diffusion and generate nonequilibrium steady states, but the conditions under which spatially dependent resetting produces localization remain unc…
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…
More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)
Sagi Meir, Tommer D. Keidar, Noam Levi +2
The performance of large language models (LLMs) on verifiable tasks is usually measured by pass@k, the probability of answering a question correctly at least once in k trials. At a…
First-Passage Approach to Optimizing Perturbations for Improved Training of Machine Learning Models
Sagi Meir, Tommer D. Keidar, Shlomi Reuveni +1
Machine learning models have become indispensable tools in applications across the physical sciences. Their training is often time-consuming, vastly exceeding the inference timesca…
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…
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…
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…
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…
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…