Alexander Marx

Postdoc Fellow


ETH AI Center

ETH Zürich

Alexander Marx

Postdoc Fellow


Alexander Marx

Postdoc Fellow


ETH AI Center

ETH Zürich

I am a Postdoc Fellow affiliated with the ETH AI Center and the Medical Data Science group at ETH Zürich. My research focuses on causality, information theory, and representation learning to approach modern challenges in the medical and biological domain. I obtained my Master’s degree in Bioinformatics in 2016 and completed my PhD in Computer Science in 2021 at Saarland University. During my PhD, I was part of the Exploratory Data Analysis group affiliated with the CISPA Helmholtz Center for Information Security and the Max Planck Institute for Informatics.



Reviewing for Conferences & Journals

  • Reviewer for the International Conference on Machine Learning (ICML'22)
  • Reviewer for the International Conference on Artificial Intelligence and Statistics (AISTATS'21,22 [Top 10% Reviewer Award],23[Top 10% Reviewer Award])
  • PC Member for the SIAM International Conference on Data Mining (SDM'21)
  • PC Member for the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'21)
  • Reviewer for the Machine Learning for Health Symposium (ML4H'22)
  • Reviewed for the journal Data Mining and Knowledge Discovery (DAMI'22)
  • Reviewed for the journal IEEE Access in 2020
  • Reviewer for the IEEE International Symposium on Information Theory (ISIT'19,20)
  • PC Member for the workshops AAAI-ITCI'22 and NeurIPS-TS4H

Invited Talks


On the Identifiability and Estimation of Causal Location-Scale Noise Models

Alexander Immer, Christoph Schultheiss, Julia E. Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx

ICML, 2023 Jul

Identifiability Results for Multimodal Contrastive Learning

Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E Vogt

ICLR, 2023 May

3DIdentBox: A Toolbox for Identifiability Benchmarking

Alice Bizeul, Imant Daunhawer, Emanuele Palumbo, Bernhard Schölkopf, Alexander Marx, Julia E Vogt

CleaR (Dataset Track), 2023 Apr

Inferring Cause and Effect in the Presence of Heteroscedastic Noise

Sascha Xu, Osman Mian, Alexander Marx, Jilles Vreeken

ICML, 2022 Jul

Estimating Mutual Information via Geodesic kNN

Alexander Marx, Jonas Fischer

SIAM SDM, 2022 Apr

View all

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