Schwab, Patrick

12 publications

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

ICLRW 2025 Efficient Differentiable Discovery of Causal Order Mathieu Chevalley, Arash Mehrjou, Patrick Schwab

AISTATS 2025 Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

AISTATS 2025 Optimising Clinical Federated Learning Through Mode Connectivity-Based Model Aggregation Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

CLeaR 2025 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, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab

ICML 2023 DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab

ICLR 2022 GeneDisco: A Benchmark for Experimental Design in Drug Discovery Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab

AAAI 2020 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen

NeurIPS 2019 CXPlain: Causal Explanations for Model Interpretation Under Uncertainty Patrick Schwab, Walter Karlen

AAAI 2019 Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks Patrick Schwab, Djordje Miladinovic, Walter Karlen

AAAI 2019 PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data Patrick Schwab, Walter Karlen

ICML 2018 Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen