Hans Kersting

Orcid: 0000-0002-2782-868X

According to our database1, Hans Kersting authored at least 11 papers between 2016 and 2024.

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

Timeline

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Links

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Bibliography

2024
SDEs for Minimax Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
An SDE for Modeling SAM: Theory and Insights.
Proceedings of the International Conference on Machine Learning, 2023

Explicit Regularization in Overparametrized Models via Noise Injection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
On the Theoretical Properties of Noise Correlation in Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Anticorrelated Noise Injection for Improved Generalization.
Proceedings of the International Conference on Machine Learning, 2022

2020
Convergence rates of Gaussian ODE filters.
Stat. Comput., 2020

A Fourier State Space Model for Bayesian ODE Filters.
CoRR, 2020

Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective.
Stat. Comput., 2019

2017
Bayesian Filtering for ODEs with Bounded Derivatives.
CoRR, 2017

2016
Active Uncertainty Calibration in Bayesian ODE Solvers.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016


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