Nora Schneider

I am an ELLIS PhD Student in Machine Learning at Helmholtz AI and TU Munich, jointly supervised by Niki Kilbertus and Mihaela van der Schaar. My research focuses on leveraging causality to address current challenges in machine learning, with a particular emphasis on dynamical systems and their applications in biology and healthcare.

Before starting my PhD, I completed a MSc in Data Science from ETH Zurich. For my master’s thesis, I worked on causal discovery under the supervision of Prof. Andreas Krause. Additionally, I completed a research project on data augmentation using concepts from causality under the supervision of Prof. Fernando Perez-Cruz.

I am always happy to talk about research, so feel free to reach out if you want to chat! Contact: nora.schneider@helmholtz-munich.de

[Google Scholar] / [GitHub] / [Linkedin]

News

September 2026	Conservative Continuous-Time Treatment Optimization has been accepted to NeurIPS 2026.
May 2025	Generative Intervention Models for Causal Perturbation Modeling has been accepted to ICML 2025.
September 2024	I started my Machine Learning PhD at Helmholtz AI in the Kilbertus Group .

Selected Publications

NeurIPS

Conservative Continuous-Time Treatment Optimization

Nora Schneider^*, Georg Manten^*, and Niki Kilbertus

Advances in Neural Information Processing Systems, 2026

Bib PDF

@article{schneider2026conservative,
  title = {Conservative Continuous-Time Treatment Optimization},
  author = {Schneider, Nora and Manten, Georg and Kilbertus, Niki},
  journal = {Advances in Neural Information Processing Systems},
  year = {2026},
}

ICML

Generative Intervention Models for Causal Perturbation Modeling

Nora Schneider, Lars Lorch, Niki Kilbertus, Bernhard Schölkopf, and Andreas Krause

International Conference on Machine Learning, 2025

Bib PDF

@article{schneider2024generative,
  title = {Generative Intervention Models for Causal Perturbation Modeling},
  author = {Schneider, Nora and Lorch, Lars and Kilbertus, Niki and Sch{\"o}lkopf, Bernhard and Krause, Andreas},
  journal = {International Conference on Machine Learning},
  year = {2025},
}

NeurIPS

Anchor Data Augmentation

Nora Schneider, Shirin Goshtasbpour, and Fernando Perez-Cruz

Advances in Neural Information Processing Systems, 2023

Bib PDF

@article{schneider2023anchor,
  title = {Anchor Data Augmentation},
  author = {Schneider, Nora and Goshtasbpour, Shirin and Perez-Cruz, Fernando},
  journal = {Advances in Neural Information Processing Systems},
  volume = {36},
  pages = {74890--74902},
  year = {2023},
}