2024
ProbNumDiffEq. jl: Probabilistic Numerical Solvers for Ordinary Differential Equations in Julia Nathanael Bosch JOSS paper code Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning ,
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Nathanael Bosch,
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arXiv (preprint) arxiv Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations ,
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ICML 2024 paper code Parallel-in-Time Probabilistic Numerical ODE Solvers Nathanael Bosch,
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JMLR paper code Probabilistic ODE Solvers for Integration Error-Aware Model Predictive Control ,
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Nathanael Bosch,
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L4DC 2024 paper 2023
Probabilistic Exponential Integrators Nathanael Bosch,
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NeurIPS 2023 paper code 2022
Fenrir: Physics-Enhanced Regression for Initial Value Problems *,
Nathanael Bosch*,
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ICML 2022 paper code Probabilistic ODE Solutions in Millions of Dimensions *,
Nathanael Bosch*,
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ICML 2022 paper code Pick-and-Mix Information Operators for Probabilistic ODE Solvers Nathanael Bosch,
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AISTATS 2022 paper code video 2021
Calibrated Adaptive Probabilistic ODE Solvers Nathanael Bosch,
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AISTATS 2021 paper code video ProbNum: Probabilistic Numerics in Python ,
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Nathanael Bosch,
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arXiv (preprint) arXiv code website 2020
Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch*,
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L4DC 2020 paper code website
2019
Learning Gaussian Process Dynamics Models from Visual Observations for Control Master thesis in
Data Engineering and Analytics pdf 2018
Evolutionary Games for Global Function Minimization Master thesis in
Mathematics pdf code 2016
Different Noise Models in Variable Density Compressed Sensing
Bachelor thesis in Mathematics