Bosch, Nathanael

11 publications

NeurIPS 2025 AlgoTune: Can Language Models Speed up General-Purpose Numerical Programs? Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Pérez-Piñeiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press

AutoML 2025 Multi-Layer Stack Ensembles for Time Series Forecasting Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Turkmen

ICML 2024 Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens

JMLR 2024 Parallel-in-Time Probabilistic Numerical ODE Solvers Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä

L4DC 2024 Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger

NeurIPS 2023 Probabilistic Exponential Integrators Nathanael Bosch, Philipp Hennig, Filip Tronarp

AISTATS 2022 Pick-and-Mix Information Operators for Probabilistic ODE Solvers Nathanael Bosch, Filip Tronarp, Philipp Hennig

ICML 2022 Fenrir: Physics-Enhanced Regression for Initial Value Problems Filip Tronarp, Nathanael Bosch, Philipp Hennig

ICML 2022 Probabilistic ODE Solutions in Millions of Dimensions Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig

AISTATS 2021 Calibrated Adaptive Probabilistic ODE Solvers Nathanael Bosch, Philipp Hennig, Filip Tronarp

L4DC 2020 Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler