activity
20212026
most citedSplitting Probabilities of Jump Processes

36 citations · 55 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LG2026

Weighting Schedules Govern What and When Score-Based Generative Models Learn from Multimodal Data

Jérémie Klinger, Raphaël Urfin, Giulio Biroli +1

Score-based generative models generate new samples by integrating a time-dependent drift that carries Gaussian noise onto the target distribution. In practice this drift is modeled…

cond-mat.stat-mech2026

Optimal parameterization of nonequilibrium generalized master equations from discrete-time experimental data

Chih-Wei Joshua Liu, Jérémie Klinger, Grant M. Rotskoff

Kinetic analyses of experiments often require coarse-grained descriptions, but complex systems rarely conform to the widely used modeling assumptions of Markovianity and thermodyna…

cond-mat.stat-mech2025

Minimally dissipative multi-bit logical operations

Jérémie Klinger, Grant M. Rotskoff

Modern computing architectures are vastly more energy-dissipative than fundamental thermodynamic limits suggest, motivating the search for principled approaches to low-dissipation…

cond-mat.stat-mech2025

Large volume statistics of first-passage observables of -dimensional Jump Processes

Jérémie Klinger, Olivier Bénichou, Raphaël Voituriez

First-passage observables (FPO) are central to understanding stochastic processes in confined domains, with applications spanning chemical reaction kinetics, foraging behavior, and…

cond-mat.stat-mech2024

Computing Nonequilibrium Responses with Score-shifted Stochastic Differential Equations

Jérémie Klinger, Grant M. Rotskoff

Using equilibrium fluctuations to understand the response of a physical system to an externally imposed perturbation is the basis for linear response theory, which is widely used t…

cond-mat.stat-mech2024

Universal energy-speed-accuracy trade-offs in driven nonequilibrium systems

Jérémie Klinger, Grant M. Rotskoff

Physical systems driven away from equilibrium by an external controller dissipate heat to the environment; the excess entropy production in the thermal reservoir can be interpreted…

cond-mat.stat-mech2023

Extreme Value Statistics of Jump Processes

Jérémie Klinger, Raphaël Voituriez, Olivier Bénichou

We investigate extreme value statistics (EVS) of general discrete time and continuous space symmetric jump processes. We first show that for unbounded jump processes, the semi-infi…

cond-mat.stat-mech2022★ 5 cited

Leftward, Rightward and Complete Exit Time Distributions of Jump Processes

Jérémie Klinger, Raphaël Voituriez, Olivier Bénichou

First-passage properties of continuous stochastic processes confined in a 1--dimensional interval are well described. However, for jump processes (discrete random walks), the chara…

cond-mat.stat-mech2022★ 36 cited

Splitting Probabilities of Jump Processes

Jérémie Klinger, Raphaël Voituriez, Olivier Bénichou

We derive a universal, exact asymptotic form of the splitting probability for symmetric continuous jump processes, which quantifies the probability that…

cond-mat.stat-mech2021★ 14 cited

Joint statistics of space and time exploration of random walks

J. Klinger, A. Barbier-Chebbah, R. Voituriez +1

The statistics of first-passage times of random walks to target sites has proved to play a key role in determining the kinetics of space exploration in various contexts. In paralle…