Hans Kersting

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Bayesian Filtering

Top Venues

Publications

Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Norbert Proske, Aurélien Lucchi
SDEs for Minimax Optimization. CoRR (2024)
Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Proske, Aurélien Lucchi
SDEs for Minimax Optimization. AISTATS (2024)
Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach
Explicit Regularization in Overparametrized Models via Noise Injection. AISTATS (2023)
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurélien Lucchi
An SDE for Modeling SAM: Theory and Insights. ICML (2023)
Enea Monzio Compagnoni, Antonio Orvieto, Luca Biggio, Hans Kersting, Frank Norbert Proske, Aurélien Lucchi
An SDE for Modeling SAM: Theory and Insights. CoRR (2023)
Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurélien Lucchi
Anticorrelated Noise Injection for Improved Generalization. ICML (2022)
Aurélien Lucchi, Frank Proske, Antonio Orvieto, Francis R. Bach, Hans Kersting
On the Theoretical Properties of Noise Correlation in Stochastic Optimization. CoRR (2022)
Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach
Explicit Regularization in Overparametrized Models via Noise Injection. CoRR (2022)
Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurélien Lucchi
Anticorrelated Noise Injection for Improved Generalization. CoRR (2022)
Aurélien Lucchi, Frank Proske, Antonio Orvieto, Francis R. Bach, Hans Kersting
On the Theoretical Properties of Noise Correlation in Stochastic Optimization. NeurIPS (2022)
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. CoRR (2020)
Hans Kersting, Maren Mahsereci
A Fourier State Space Model for Bayesian ODE Filters. CoRR (2020)
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. ICML (2020)
Hans Kersting, Timothy John Sullivan, Philipp Hennig
Convergence rates of Gaussian ODE filters. Stat. Comput. 30 (6) (2020)
Filip Tronarp, Hans Kersting, Simo Särkkä, Philipp Hennig
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective. Stat. Comput. 29 (6) (2019)
Hans Kersting, Timothy John Sullivan, Philipp Hennig
Convergence Rates of Gaussian ODE Filters. CoRR (2018)
Emilia Magnani, Hans Kersting, Michael Schober, Philipp Hennig
Bayesian Filtering for ODEs with Bounded Derivatives. CoRR (2017)
Hans Kersting, Philipp Hennig
Active Uncertainty Calibration in Bayesian ODE Solvers. UAI (2016)
Hans Kersting, Philipp Hennig
Active Uncertainty Calibration in Bayesian ODE Solvers. CoRR (2016)