Patrick Schwab

55 papers A* 9A 2Journal 40Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity. IEEE J. Biomed. Health Informatics Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2026	A*	`conf`	Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling. AAAI Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton
2026	J	`jnl`	ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins. CoRR Yichen Zhou, Jonathan Golob, Amir Karimi, Stefan Bauer, Patrick Schwab
2025	J	`jnl`	A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. npj Digit. Medicine Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton
2025	J	`jnl`	Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting. IEEE Trans. Pattern Anal. Mach. Intell. Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton
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	A	`conf`	Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation. AISTATS Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
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	A	`conf`	Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation. AISTATS Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025	J	`jnl`	Sample Selection Bias in Machine Learning for Healthcare. ACM Trans. Comput. Heal. Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2025	J	`jnl`	Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. CoRR Xiao Gu, Wei Tang, Jinpei Han, Veer Sangha, Fenglin Liu, Shreyank N. Gowda, Antônio H. Ribeiro, Patrick Schwab, Kim Branson, Lei A. Clifton, Antonio Luiz P. Ribeiro, Zhangdaihong Liu, David A. Clifton
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`	A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam A. Tailor
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
2024	J	`jnl`	Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024	J	`jnl`	Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024	J	`jnl`	Sample Selection Bias in Machine Learning for Healthcare. CoRR Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2023	J	`jnl`	DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	A*	`conf`	DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	J	`jnl`	Multi-omics Prediction from High-content Cellular Imaging with Deep Learning. CoRR Rahil Mehrizi, Arash Mehrjou, Maryana Alegro, Yi Zhao, Benedetta Carbone, Carl Fishwick, Johanna Vappiani, Jing Bi, Siobhan Sanford, Hakan Keles, Marcus Bantscheff, Cuong Nguyen, 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`	Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations. CoRR Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab
2022	J	`jnl`	FED-CD: Federated Causal Discovery from Interventional and Observational Data. CoRR Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
2022	J	`jnl`	Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database. CoRR Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer
2022	A*	`conf`	GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2021	J	`jnl`	A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. IEEE J. Biomed. Health Informatics Patrick Schwab, Walter Karlen
2021	J	`jnl`	Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg
2021	J	`jnl`	GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2021	J	`jnl`	Learning Neural Causal Models with Active Interventions. CoRR Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
2021	J	`jnl`	NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments. CoRR Sonali Parbhoo, Stefan Bauer, Patrick Schwab
2021	J	`jnl`	Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. npj Digit. Medicine August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab
2020	J	`jnl`	A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. CoRR Patrick Schwab, Walter Karlen
2020	A*	`conf`	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2020	J	`jnl`	Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation. CoRR August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab
2020	J	`jnl`	Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer
2020	J	`jnl`	predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019. CoRR Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer
2019	A*	`conf`	CXPlain: Causal Explanations for Model Interpretation under Uncertainty. NeurIPS Patrick Schwab, Walter Karlen
2019	J	`jnl`	CXPlain: Causal Explanations for Model Interpretation under Uncertainty. CoRR Patrick Schwab, Walter Karlen
2019	A*	`conf`	Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. AAAI Patrick Schwab, Djordje Miladinovic, Walter Karlen
2019	J	`jnl`	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. CoRR Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2019	A*	`conf`	PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. AAAI Patrick Schwab, Walter Karlen
2018	J	`jnl`	Granger-causal Attentive Mixtures of Experts. CoRR Patrick Schwab, Walter Karlen
2018	A*	`conf`	Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. ICML Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen
2018	J	`jnl`	Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. CoRR Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen
2018	J	`jnl`	Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. CoRR Patrick Schwab, Lorenz Linhardt, Walter Karlen
2018	J	`jnl`	PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. CoRR Patrick Schwab, Walter Karlen
2017	—	`conf`	Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. CinC Patrick Schwab, Gaetano Claudio Scebba, Jia Zhang, Marco Delai, Walter Karlen
2017	J	`jnl`	Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. CoRR Patrick Schwab, Gaetano Scebba, Jia Zhang, Marco Delai, Walter Karlen
2015	—	`conf`	Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models. AIIDE Patrick Schwab, Helmut Hlavacs
2014	—	`conf`	A Unified Framework for Retrieving Diverse Social Images. MediaEval Maia Zaharieva, Patrick Schwab