Hans Kersting - RankMe

19 papers A* 4A 3Journal 12

Year	Rank	Type	Title / 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