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ORCIDNathanael Bosch
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2020 – today
- 2024
[j2]Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä:
Parallel-in-Time Probabilistic Numerical ODE Solvers. J. Mach. Learn. Res. 25: 206:1-206:27 (2024)- [j1]Nathanael Bosch
:
ProbNumDiffEq.jl: Probabilistic Numerical Solvers for Ordinary Differential Equations in Julia. J. Open Source Softw. 9(101): 7048 (2024) - [c8]Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens:
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations. ICML 2024 - [c7]Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger:
Probabilistic ODE solvers for integration error-aware numerical optimal control. L4DC 2024: 1018-1032 - [i10]Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens:
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations. CoRR abs/2402.12231 (2024) - [i9]Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig:
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning. CoRR abs/2410.06800 (2024) - 2023
- [c6]Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Probabilistic Exponential Integrators. NeurIPS 2023 - [i8]Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Probabilistic Exponential Integrators. CoRR abs/2305.14978 (2023) - [i7]Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä:
Parallel-in-Time Probabilistic Numerical ODE Solvers. CoRR abs/2310.01145 (2023) - 2022
- [c5]Nathanael Bosch, Filip Tronarp, Philipp Hennig:
Pick-and-Mix Information Operators for Probabilistic ODE Solvers. AISTATS 2022: 10015-10027 - [c4]Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig:
Probabilistic ODE Solutions in Millions of Dimensions. ICML 2022: 11634-11649 - [c3]Filip Tronarp, Nathanael Bosch, Philipp Hennig:
Fenrir: Physics-Enhanced Regression for Initial Value Problems. ICML 2022: 21776-21794 - [i6]Filip Tronarp, Nathanael Bosch, Philipp Hennig:
Fenrir: Physics-Enhanced Regression for Initial Value Problems. CoRR abs/2202.01287 (2022) - 2021
- [c2]Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Calibrated Adaptive Probabilistic ODE Solvers. AISTATS 2021: 3466-3474 - [i5]Nathanael Bosch, Filip Tronarp, Philipp Hennig:
Pick-and-Mix Information Operators for Probabilistic ODE Solvers. CoRR abs/2110.10770 (2021) - [i4]Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig:
Probabilistic ODE Solutions in Millions of Dimensions. CoRR abs/2110.11812 (2021) - [i3]Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig:
ProbNum: Probabilistic Numerics in Python. CoRR abs/2112.02100 (2021) - 2020
- [c1]Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. L4DC 2020: 640-650 - [i2]Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. CoRR abs/2005.03770 (2020) - [i1]Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Calibrated Adaptive Probabilistic ODE Solvers. CoRR abs/2012.08202 (2020)
Coauthor Index
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