Nathanael Bosch Adrien Corenflos Fatemeh Yaghoobi Filip Tronarp Philipp Hennig Simo Särkkä Parallel-in-Time Probabilistic Numerical ODE Solvers. 206:1-206:27 2024 25 J. Mach. Learn. Res. https://jmlr.org/papers/v25/23-1261.html db/journals/jmlr/jmlr25.html#BoschCYTHS24
Nathanael Bosch ProbNumDiffEq.jl: Probabilistic Numerical Solvers for Ordinary Differential Equations in Julia. 7048 2024 9 J. Open Source Softw. 101 https://doi.org/10.21105/joss.07048 db/journals/jossw/jossw9.html#Bosch24 streams/journals/jossw
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. 2024 abs/2402.12231 CoRR https://doi.org/10.48550/arXiv.2402.12231 db/journals/corr/corr2402.html#abs-2402-12231
Joanna Sliwa 0002 Frank Schneider 0001 Nathanael Bosch Agustinus Kristiadi Philipp Hennig Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning. 2024 abs/2410.06800 CoRR https://doi.org/10.48550/arXiv.2410.06800 db/journals/corr/corr2410.html#abs-2410-06800 streams/journals/corr
Nathanael Bosch Philipp Hennig Filip Tronarp Probabilistic Exponential Integrators. 2023 abs/2305.14978 CoRR https://doi.org/10.48550/arXiv.2305.14978 db/journals/corr/corr2305.html#abs-2305-14978
Nathanael Bosch Adrien Corenflos Fatemeh Yaghoobi Filip Tronarp Philipp Hennig Simo Särkkä Parallel-in-Time Probabilistic Numerical ODE Solvers. 2023 abs/2310.01145 CoRR https://doi.org/10.48550/arXiv.2310.01145 db/journals/corr/corr2310.html#abs-2310-01145
Filip Tronarp Nathanael Bosch Philipp Hennig Fenrir: Physics-Enhanced Regression for Initial Value Problems. 2022 abs/2202.01287 CoRR https://arxiv.org/abs/2202.01287 db/journals/corr/corr2202.html#abs-2202-01287
Nathanael Bosch Filip Tronarp Philipp Hennig Pick-and-Mix Information Operators for Probabilistic ODE Solvers. 2021 abs/2110.10770 CoRR https://arxiv.org/abs/2110.10770 db/journals/corr/corr2110.html#abs-2110-10770
Nicholas Krämer Nathanael Bosch Jonathan Schmidt Philipp Hennig Probabilistic ODE Solutions in Millions of Dimensions. 2021 abs/2110.11812 CoRR https://arxiv.org/abs/2110.11812 db/journals/corr/corr2110.html#abs-2110-11812
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. 2021 abs/2112.02100 CoRR https://arxiv.org/abs/2112.02100 db/journals/corr/corr2112.html#abs-2112-02100
Nathanael Bosch Jan Achterhold Laura Leal-Taixé Jörg Stückler Planning from Images with Deep Latent Gaussian Process Dynamics. 2020 abs/2005.03770 CoRR https://arxiv.org/abs/2005.03770 db/journals/corr/corr2005.html#abs-2005-03770
Nathanael Bosch Philipp Hennig Filip Tronarp Calibrated Adaptive Probabilistic ODE Solvers. 2020 abs/2012.08202 CoRR https://arxiv.org/abs/2012.08202 db/journals/corr/corr2012.html#abs-2012-08202
