Hans Kersting

19 papers A* 4A 3Journal 12
YearRankTypeTitle / Venue / Authors
2024 A conf
SDEs for Minimax Optimization.
AISTATS
Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Proske, Aurélien Lucchi
2024 J jnl
SDEs for Minimax Optimization.
CoRR
Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Norbert Proske, Aurélien Lucchi
2023 A* conf
An SDE for Modeling SAM: Theory and Insights.
ICML
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurélien Lucchi
2023 J jnl
An SDE for Modeling SAM: Theory and Insights.
CoRR
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurélien Lucchi
2023 A conf
Explicit Regularization in Overparametrized Models via Noise Injection.
AISTATS
Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach
2022 A* conf
Anticorrelated Noise Injection for Improved Generalization.
ICML
Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurélien Lucchi
2022 J jnl
Anticorrelated Noise Injection for Improved Generalization.
CoRR
Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurélien Lucchi
2022 J jnl
Explicit Regularization in Overparametrized Models via Noise Injection.
CoRR
Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach
2022 A* conf
On the Theoretical Properties of Noise Correlation in Stochastic Optimization.
NeurIPS
Aurélien Lucchi, Frank Proske, Antonio Orvieto, Francis R. Bach, Hans Kersting
2022 J jnl
On the Theoretical Properties of Noise Correlation in Stochastic Optimization.
CoRR
Aurélien Lucchi, Frank Proske, Antonio Orvieto, Francis R. Bach, Hans Kersting
2020 J jnl
A Fourier State Space Model for Bayesian ODE Filters.
CoRR
Hans Kersting, Maren Mahsereci
2020 J jnl
Convergence rates of Gaussian ODE filters.
Stat. Comput.
Hans Kersting, Timothy John Sullivan, Philipp Hennig
2020 A* conf
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.
ICML
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
2020 J jnl
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.
CoRR
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
2019 J jnl
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective.
Stat. Comput.
Filip Tronarp, Hans Kersting, Simo Särkkä, Philipp Hennig
2018 J jnl
Convergence Rates of Gaussian ODE Filters.
CoRR
Hans Kersting, Timothy John Sullivan, Philipp Hennig
2017 J jnl
Bayesian Filtering for ODEs with Bounded Derivatives.
CoRR
Emilia Magnani, Hans Kersting, Michael Schober, Philipp Hennig
2016 A conf
Active Uncertainty Calibration in Bayesian ODE Solvers.
UAI
Hans Kersting, Philipp Hennig
2016 J jnl
Active Uncertainty Calibration in Bayesian ODE Solvers.
CoRR
Hans Kersting, Philipp Hennig