Publications

2026

Universal Time Series Generation with Neural Controlled Differential Equations

Torben Berndt*, Elyes Farjallah*, Leif Seute, Raeid Saqur, Benjamin Walker† and Jan Stühmer†

arXiv , Preprint , 2026

Bib
@article{berndt2026universal,
  title = {Universal Time Series Generation with Neural Controlled Differential Equations},
  author = {Berndt, Torben and Farjallah, Elyes and Seute, Leif and Walker, Benjamin and St{\"u}hmer, Jan and Saqur, Raeid},
  journal = {arXiv preprint},
  year = {2026},
  url={http://arxiv.org/abs/2605.28507}
}
arXiv GitHub

Approximate Equivariance via Projection-based Regularisation

Torben Berndt and Jan Stühmer

ICML , 2026

Bib
@article{berndt2026approximate,
  title = {Approximate equivariance via projection-based regularisation},
  author = {Berndt, Torben and St{\"u}hmer, Jan},
  booktitle = {Forty-third International Conference on Machine Learning},
  year = {2026},
  url={https://arxiv.org/pdf/2601.05028}
}
arXiv GitHub

2025

Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning

Torben Berndt, Benjamin Walker, Tiexin Qin, Jan Stühmer and Andrey Kormilitzin

NeurIPS , 2025

Bib
@article{berndt2025permutation,
  title={Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning},
  author={Berndt, Torben and Walker, Benjamin and Qin, Tiexin and St{\"u}hmer, Jan and Kormilitzin, Andrey},
  journal={Advances in Neural Information Processing Systems},
  volume={38},
  pages={98276--98311},
  year={2025}
}
arXiv GitHub