AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
, , Haoyu Zhao, Yikai Wu, Samuel K Ainsworth, Dominik Krupke, , Touqir Sajed, , 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, ,
arXiv (preprint)
arXiv code website

Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers
, , Nathanael Bosch
ProbNum25
paper code

Multi-layer Stack Ensembles for Time Series Forecasting
Nathanael Bosch, , , ,
AutoML25
paper

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
, , Nathanael Bosch, ,
arXiv (preprint)
arxiv

Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
, Nathanael Bosch, , , , ,
ICML 2024
paper code

Parallel-in-Time Probabilistic Numerical ODE Solvers
Nathanael Bosch, , , , ,
JMLR
paper code

Probabilistic ODE Solvers for Integration Error-Aware Model Predictive Control
, , Nathanael Bosch, , ,
L4DC 2024
paper

Probabilistic Exponential Integrators
Nathanael Bosch, , .
NeurIPS 2023
paper code

Fenrir: Physics-Enhanced Regression for Initial Value Problems
*, Nathanael Bosch*, .
ICML 2022
paper code

Probabilistic ODE Solutions in Millions of Dimensions
*, Nathanael Bosch*, *, .
ICML 2022
paper code

Pick-and-Mix Information Operators for Probabilistic ODE Solvers
Nathanael Bosch, , .
AISTATS 2022
paper code video

Calibrated Adaptive Probabilistic ODE Solvers
Nathanael Bosch, , .
AISTATS 2021
paper code video

ProbNum: Probabilistic Numerics in Python
, , , , Nathanael Bosch, , , Alexandra Gessner, , , , .
arXiv (preprint)
arXiv code website

Planning from Images with Deep Latent Gaussian Process Dynamics
Nathanael Bosch*, *, , .
L4DC 2020
paper code website

A Flexible and Efficient Framework for Probabilistic Numerical Simulation and Inference
PhD thesis in Computer Science, University of Tübingen
pdf

Learning Gaussian Process Dynamics Models from Visual Observations for Control
Master thesis in Data Engineering and Analytics
pdf

Evolutionary Games for Global Function Minimization
Master thesis in Mathematics
pdf code

Different Noise Models in Variable Density Compressed Sensing
Bachelor thesis in Mathematics