By the user, for the user: A user-centric approach to quantifying the privacy of websites. - Matius Chairani; Mathieu Chevalley; Abderrahmane Lazraq; Sruti Bhagavatula (CoRR, 2019)

Invariant Causal Mechanisms through Distribution Matching. - Mathieu Chevalley; Charlotte Bunne; Andreas Krause 001; Stefan Bauer (CoRR, 2022)

CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. - Mathieu Chevalley; Yusuf H. Roohani; Arash Mehrjou; Jure Leskovec; Patrick Schwab (CoRR, 2022)

Efficient Differentiable Discovery of Causal Order. - Mathieu Chevalley; Arash Mehrjou; Patrick Schwab (CoRR, 2024)

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. - Mathieu Chevalley; Jacob Sackett-Sanders; Yusuf H. Roohani; Pascal Notin; Artemy Bakulin; Dariusz Brzezinski; Kaiwen Deng; Yuanfang Guan; Justin Hong; Michael Ibrahim 003; Wojciech Kotlowski; Marcin Kowiel; et al. (CLeaR, 2025)

Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. - Mathieu Chevalley; Patrick Schwab; Arash Mehrjou (ICLR, 2025)

Multi-megabase scale genome interpretation with genetic language models. - Frederik Träuble; Lachlan Stuart; Andreas Georgiou; Pascal Notin; Arash Mehrjou; Ron Schwessinger; Mathieu Chevalley; Kim Branson 001; Bernhard Schölkopf; Cornelia van Duijn; Debora S. Marks; Patrick Schwab (CoRR, 2025)

In-silico biological discovery with large perturbation models. - Djordje Miladinovic; Tobias Höppe; Mathieu Chevalley; Andreas Georgiou; Lachlan Stuart; Arash Mehrjou; Marcus Bantscheff; Bernhard Schölkopf; Patrick Schwab (CoRR, 2025)