Publications

@misc{sevinchan2026incontextlearningpredictcritical,
      title={In-context learning to predict critical transitions in dynamical systems},
      author={Yunus Sevinchan and Juan Nathaniel and Kai Ueltzhöffer and Carla Roesch and Tobias Weber and Vaios Laschos and Hang Fan and Gregor Ramien and Johannes Haux and Pierre Gentine and Benjamin Herdeanu},
      year={2026},
      eprint={2605.12308},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2605.12308},
}

@InProceedings{pmlr-v267-magnani25a,
  title = {Linearization Turns Neural Operators into Function-Valued {G}aussian Processes},
  author = {Magnani, Emilia and Pf\"{o}rtner, Marvin and Weber, Tobias and Hennig, Philipp},
  booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
  pages = {42421--42452},
  year = {2025},
  editor = {Singh, Aarti and Fazel, Maryam and Hsu, Daniel and Lacoste-Julien, Simon and Berkenkamp, Felix and Maharaj, Tegan and Wagstaff, Kiri and Zhu, Jerry},
  volume = {267},
  series = {Proceedings of Machine Learning Research},
  month = {13--19 Jul},
  publisher = {PMLR},
  url = {https://proceedings.mlr.press/v267/magnani25a.html},
}

@inproceedings{weber2025laplax,
  title = {laplax -- Laplace Approximations with JAX},
  author = {Weber, Tobias and Mucsányi, Bálint and Rommel, Lenard and Christie, Thomas and Kasüschke, Lars and Pförtner, Marvin and Hennig, Philipp},
  booktitle = {CODEML Workshop at the International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://openreview.net/forum?id=CKMy0phhuF},
}

@misc{dangel2025kroneckerfactoredapproximatecurvaturekfac,
      title={Kronecker-factored Approximate Curvature (KFAC) From Scratch},
      author={Felix Dangel and Bálint Mucsányi and Tobias Weber and Runa Eschenhagen},
      year={2025},
      eprint={2507.05127},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2507.05127},
}

@misc{njifon2025blockgraphneuralnetworks,
      title={Block Graph Neural Networks for tumor heterogeneity prediction},
      author={Marianne Abémgnigni Njifon and Tobias Weber and Viktor Bezborodov and Tyll Krueger and Dominic Schuhmacher},
      year={2025},
      eprint={2502.05458},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.05458},
}

@inproceedings{weber2024uncertaintyfno,
  title = {Uncertainty Quantification for Fourier Neural Operators},
  author = {Weber, Tobias and Magnani, Emilia and Pförtner, Marvin and Hennig, Philipp},
  booktitle = {ICLR Workshop on AI4DifferentialEquations in Science},
  year = {2024},
  url = {https://openreview.net/forum?id=knSgoNJcnV},
}