Benjamin Gess - RankMe

19 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Large Spikes in Stochastic Gradient Descent: A Large-Deviations View. CoRR Benjamin Gess, Daniel Heydecker
2025	J	`jnl`	THINNs: Thermodynamically Informed Neural Networks. CoRR Javier Castro, Benjamin Gess
2024	J	`jnl`	Stochastic Modified Flows for Riemannian Stochastic Gradient Descent. CoRR Benjamin Gess, Sebastian Kassing, Nimit Rana
2024	J	`jnl`	Stochastic Modified Flows for Riemannian Stochastic Gradient Descent. SIAM J. Control. Optim. Benjamin Gess, Sebastian Kassing, Nimit Rana
2024	J	`jnl`	Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent. J. Mach. Learn. Res. Benjamin Gess, Sebastian Kassing, Vitalii Konarovskyi
2023	J	`jnl`	Convergence rates for momentum stochastic gradient descent with noise of machine learning type. CoRR Benjamin Gess, Sebastian Kassing
2023	J	`jnl`	Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent. CoRR Benjamin Gess, Sebastian Kassing, Vitalii Konarovskyi
2023	J	`jnl`	Thermodynamically consistent and positivity-preserving discretization of the thin-film equation with thermal noise. Math. Comput. Benjamin Gess, Rishabh S. Gvalani, Florian Kunick, Felix Otto
2022	J	`jnl`	Conservative SPDEs as fluctuating mean field limits of stochastic gradient descent. CoRR Benjamin Gess, Rishabh S. Gvalani, Vitalii Konarovskyi
2021	J	`jnl`	Stochastic partial differential equations arising in self-organized criticality. CoRR Lubomír Bañas, Benjamin Gess, Marius Neuß
2021	J	`jnl`	Thermodynamically consistent and positivity-preserving discretization of the thin-film equation with thermal noise. CoRR Benjamin Gess, Rishabh S. Gvalani, Florian Kunick, Felix Otto
2020	J	`jnl`	Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions. J. Mach. Learn. Res. Benjamin J. Fehrman, Benjamin Gess, Arnulf Jentzen
2020	J	`jnl`	Ergodicity for Stochastic Porous Media Equations with Multiplicative Noise. SIAM J. Math. Anal. Konstantinos Dareiotis, Benjamin Gess, Pavlos Tsatsoulis
2020	J	`jnl`	Numerical approximation of singular-degenerate parabolic stochastic PDEs. CoRR Lubomír Bañas, Benjamin Gess, Christian Vieth
2019	J	`jnl`	Convergence rates for the stochastic gradient descent method for non-convex objective functions. CoRR Benjamin J. Fehrman, Benjamin Gess, Arnulf Jentzen
2016	J	`jnl`	Ergodicity and Local Limits for Stochastic Local and Nonlocal p-Laplace Equations. SIAM J. Math. Anal. Benjamin Gess, Jonas M. Tölle
2016	J	`jnl`	Semi-discretization for Stochastic Scalar Conservation Laws with Multiple Rough Fluxes. SIAM J. Numer. Anal. Benjamin Gess, Benoît Perthame, Panagiotis E. Souganidis
2015	J	`jnl`	Singular-Degenerate Multivalued Stochastic Fast Diffusion Equations. SIAM J. Math. Anal. Benjamin Gess, Michael Röckner
2013	J	`jnl`	Finite Speed of Propagation for Stochastic Porous Media Equations. SIAM J. Math. Anal. Benjamin Gess