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

Calibrated Adaptive Probabilistic ODE Solvers. - Nathanael Bosch; Philipp Hennig; Filip Tronarp (AISTATS, 2021)

ProbNum: Probabilistic Numerics in Python. - Jonathan Wenger; Nicholas Krämer; Marvin Pförtner; Jonathan Schmidt 001; Nathanael Bosch; Nina Effenberger; Johannes Zenn; Alexandra Gessner; Toni Karvonen; François-Xavier Briol; Maren Mahsereci; Philipp Hennig (CoRR, 2021)

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

Probabilistic ODE Solutions in Millions of Dimensions. - Nicholas Krämer; Nathanael Bosch; Jonathan Schmidt 001; Philipp Hennig (ICML, 2022)

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

Probabilistic Exponential Integrators. - Nathanael Bosch; Philipp Hennig; Filip Tronarp (NeurIPS, 2023)

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 (ICML, 2024)

Probabilistic ODE solvers for integration error-aware numerical optimal control. - Amon Lahr; Filip Tronarp; Nathanael Bosch; Jonathan Schmidt 001; Philipp Hennig; Melanie N. Zeilinger (L4DC, 2024)

Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning. - Joanna Sliwa 002; Frank Schneider 001; Nathanael Bosch; Agustinus Kristiadi; Philipp Hennig (CoRR, 2024)

Parallel-in-Time Probabilistic Numerical ODE Solvers. - Nathanael Bosch; Adrien Corenflos; Fatemeh Yaghoobi; Filip Tronarp; Philipp Hennig; Simo Särkkä (J. Mach. Learn. Res., 2024)

ProbNumDiffEq.jl: Probabilistic Numerical Solvers for Ordinary Differential Equations in Julia. - Nathanael Bosch (J. Open Source Softw., 2024)

Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers. - Dingling Yao; Filip Tronarp; Nathanael Bosch (CoRR, 2025)

AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs? - Ori Press; Brandon Amos; Haoyu Zhao; Yikai Wu 001; Samuel K. Ainsworth; Dominik Krupke; Patrick Kidger; Touqir Sajed; Bartolomeo Stellato; Jisun Park 003; Nathanael Bosch; Eli Meril; et al. (CoRR, 2025)