Benjamin Gess

According to our database1, Benjamin Gess authored at least 15 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Large Spikes in Stochastic Gradient Descent: A Large-Deviations View.
CoRR, March, 2026

2025
THINNs: Thermodynamically Informed Neural Networks.
CoRR, September, 2025

2024
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent.
SIAM J. Control. Optim., 2024

Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent.
J. Mach. Learn. Res., 2024

2023
Thermodynamically consistent and positivity-preserving discretization of the thin-film equation with thermal noise.
Math. Comput., April, 2023

Convergence rates for momentum stochastic gradient descent with noise of machine learning type.
CoRR, 2023

2022
Conservative SPDEs as fluctuating mean field limits of stochastic gradient descent.
CoRR, 2022

2021
Stochastic partial differential equations arising in self-organized criticality.
CoRR, 2021

2020
Ergodicity for Stochastic Porous Media Equations with Multiplicative Noise.
SIAM J. Math. Anal., 2020

Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions.
J. Mach. Learn. Res., 2020

Numerical approximation of singular-degenerate parabolic stochastic PDEs.
CoRR, 2020

2016
Semi-discretization for Stochastic Scalar Conservation Laws with Multiple Rough Fluxes.
SIAM J. Numer. Anal., 2016

Ergodicity and Local Limits for Stochastic Local and Nonlocal p-Laplace Equations.
SIAM J. Math. Anal., 2016

2015
Singular-Degenerate Multivalued Stochastic Fast Diffusion Equations.
SIAM J. Math. Anal., 2015

2013
Finite Speed of Propagation for Stochastic Porous Media Equations.
SIAM J. Math. Anal., 2013


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