Nathanael Bosch

26 papers A* 4A 2Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
CoRR
Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel K. Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Perez-Pineiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press
2025 — conf
Multi-layer Stack Ensembles for Time Series Forecasting.
AutoML
Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Türkmen
2025 J jnl
Multi-layer Stack Ensembles for Time Series Forecasting.
CoRR
Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Caner Türkmen
2025 — conf
Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers.
ProbNum
Dingling Yao, Filip Tronarp, Nathanael Bosch
2025 J jnl
Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers.
CoRR
Dingling Yao, Filip Tronarp, Nathanael Bosch
2024 A* conf
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations.
ICML
Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens
2024 J jnl
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations.
CoRR
Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens
2024 J jnl
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning.
CoRR
Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig
2024 J jnl
Parallel-in-Time Probabilistic Numerical ODE Solvers.
J. Mach. Learn. Res.
Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä
2024 J jnl
ProbNumDiffEq.jl: Probabilistic Numerical Solvers for Ordinary Differential Equations in Julia.
J. Open Source Softw.
Nathanael Bosch
2024 J jnl
Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control.
CoRR
Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger
2024 — conf
Probabilistic ODE solvers for integration error-aware numerical optimal control.
L4DC
Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger
2023 J jnl
Parallel-in-Time Probabilistic Numerical ODE Solvers.
CoRR
Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä
2023 A* conf
Probabilistic Exponential Integrators.
NeurIPS
Nathanael Bosch, Philipp Hennig, Filip Tronarp
2023 J jnl
Probabilistic Exponential Integrators.
CoRR
Nathanael Bosch, Philipp Hennig, Filip Tronarp
2022 A* conf
Fenrir: Physics-Enhanced Regression for Initial Value Problems.
ICML
Filip Tronarp, Nathanael Bosch, Philipp Hennig
2022 J jnl
Fenrir: Physics-Enhanced Regression for Initial Value Problems.
CoRR
Filip Tronarp, Nathanael Bosch, Philipp Hennig
2022 A conf
Pick-and-Mix Information Operators for Probabilistic ODE Solvers.
AISTATS
Nathanael Bosch, Filip Tronarp, Philipp Hennig
2022 A* conf
Probabilistic ODE Solutions in Millions of Dimensions.
ICML
Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig
2021 A conf
Calibrated Adaptive Probabilistic ODE Solvers.
AISTATS
Nathanael Bosch, Philipp Hennig, Filip Tronarp
2021 J jnl
Pick-and-Mix Information Operators for Probabilistic ODE Solvers.
CoRR
Nathanael Bosch, Filip Tronarp, Philipp Hennig
2021 J jnl
ProbNum: Probabilistic Numerics in Python.
CoRR
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
2021 J jnl
Probabilistic ODE Solutions in Millions of Dimensions.
CoRR
Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig
2020 J jnl
Calibrated Adaptive Probabilistic ODE Solvers.
CoRR
Nathanael Bosch, Philipp Hennig, Filip Tronarp
2020 — conf
Planning from Images with Deep Latent Gaussian Process Dynamics.
L4DC
Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler
2020 J jnl
Planning from Images with Deep Latent Gaussian Process Dynamics.
CoRR
Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler