Mathieu Chevalley

12 papers A* 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. ICLR Mathieu Chevalley, Patrick Schwab, Arash Mehrjou
2025	J	`jnl`	In silico biological discovery with large perturbation models. Nat. Comput. Sci. Djordje Miladinovic, Tobias Höppe, Mathieu Chevalley, Andreas Georgiou, Lachlan Stuart, Arash Mehrjou, Marcus Bantscheff, Bernhard Schölkopf, Patrick Schwab
2025	J	`jnl`	In-silico biological discovery with large perturbation models. CoRR Djordje Miladinovic, Tobias Höppe, Mathieu Chevalley, Andreas Georgiou, Lachlan Stuart, Arash Mehrjou, Marcus Bantscheff, Bernhard Schölkopf, Patrick Schwab
2025	J	`jnl`	Multi-megabase scale genome interpretation with genetic language models. CoRR Frederik Träuble, Lachlan Stuart, Andreas Georgiou, Pascal Notin, Arash Mehrjou, Ron Schwessinger, Mathieu Chevalley, Kim Branson, Bernhard Schölkopf, Cornelia van Duijn, Debora S. Marks, Patrick Schwab
2025	—	`conf`	The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CLeaR Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab
2025	J	`jnl`	Theoretical Guarantees for Causal Discovery on Large Random Graphs. CoRR Mathieu Chevalley, Arash Mehrjou, Patrick Schwab
2024	J	`jnl`	Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. CoRR Mathieu Chevalley, Patrick Schwab, Arash Mehrjou
2024	J	`jnl`	Efficient Differentiable Discovery of Causal Order. CoRR Mathieu Chevalley, Arash Mehrjou, Patrick Schwab
2023	J	`jnl`	The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab
2022	J	`jnl`	CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. CoRR Mathieu Chevalley, Yusuf H. Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab
2022	J	`jnl`	Invariant Causal Mechanisms through Distribution Matching. CoRR Mathieu Chevalley, Charlotte Bunne, Andreas Krause, Stefan Bauer
2019	J	`jnl`	By the user, for the user: A user-centric approach to quantifying the privacy of websites. CoRR Matius Chairani, Mathieu Chevalley, Abderrahmane Lazraq, Sruti Bhagavatula