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Patrick Schwab
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2020 – today
- 2024
- [i24]Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam Tailor:
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR abs/2403.10561 (2024) - [i23]Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton:
Sample Selection Bias in Machine Learning for Healthcare. CoRR abs/2405.07841 (2024) - [i22]Mathieu Chevalley, Patrick Schwab, Arash Mehrjou:
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. CoRR abs/2405.18314 (2024) - 2023
- [c10]Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab:
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML 2023: 23170-23189 - [i21]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:
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning. CoRR abs/2306.09391 (2023) - [i20]Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf 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:
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR abs/2308.15395 (2023) - [i19]Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab:
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR abs/2312.04064 (2023) - 2022
- [c9]Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab:
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR 2022 - [i18]Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab:
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations. CoRR abs/2201.08186 (2022) - [i17]Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer:
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database. CoRR abs/2204.09328 (2022) - [i16]Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab:
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. CoRR abs/2210.17283 (2022) - [i15]Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou:
FED-CD: Federated Causal Discovery from Interventional and Observational Data. CoRR abs/2211.03846 (2022) - 2021
- [j3]August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab:
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. npj Digit. Medicine 4 (2021) - [j2]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:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - [j1]Patrick Schwab, Walter Karlen:
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. IEEE J. Biomed. Health Informatics 25(4): 1284-1291 (2021) - [i14]Sonali Parbhoo, Stefan Bauer, Patrick Schwab:
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments. CoRR abs/2103.11175 (2021) - [i13]Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke:
Learning Neural Causal Models with Active Interventions. CoRR abs/2109.02429 (2021) - [i12]Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab:
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR abs/2110.11875 (2021) - 2020
- [c8]Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen:
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI 2020: 5612-5619 - [i11]Patrick Schwab, Walter Karlen:
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. CoRR abs/2001.09748 (2020) - [i10]Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer:
predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019. CoRR abs/2005.08302 (2020) - [i9]Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer:
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR abs/2008.13412 (2020) - [i8]August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab:
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation. CoRR abs/2012.03769 (2020)
2010 – 2019
- 2019
- [c7]Patrick Schwab, Walter Karlen:
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. AAAI 2019: 1118-1125 - [c6]Patrick Schwab, Djordje Miladinovic, Walter Karlen:
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. AAAI 2019: 4846-4853 - [c5]Patrick Schwab, Walter Karlen:
CXPlain: Causal Explanations for Model Interpretation under Uncertainty. NeurIPS 2019: 10220-10230 - [i7]Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen:
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. CoRR abs/1902.00981 (2019) - [i6]Patrick Schwab, Walter Karlen:
CXPlain: Causal Explanations for Model Interpretation under Uncertainty. CoRR abs/1910.12336 (2019) - 2018
- [c4]Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen:
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. ICML 2018: 4525-4534 - [i5]Patrick Schwab, Walter Karlen:
Granger-causal Attentive Mixtures of Experts. CoRR abs/1802.02195 (2018) - [i4]Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen:
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. CoRR abs/1802.05027 (2018) - [i3]Patrick Schwab, Lorenz Linhardt, Walter Karlen:
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. CoRR abs/1810.00656 (2018) - [i2]Patrick Schwab, Walter Karlen:
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. CoRR abs/1810.01485 (2018) - 2017
- [c3]Patrick Schwab, Gaetano Claudio Scebba, Jia Zhang, Marco Delai, Walter Karlen:
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. CinC 2017 - [i1]Patrick Schwab, Gaetano Scebba, Jia Zhang, Marco Delai, Walter Karlen:
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. CoRR abs/1710.06319 (2017) - 2015
- [c2]Patrick Schwab, Helmut Hlavacs:
Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models. AIIDE 2015: 184-190 - 2014
- [c1]Maia Zaharieva, Patrick Schwab:
A Unified Framework for Retrieving Diverse Social Images. MediaEval 2014
Coauthor Index
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last updated on 2024-09-04 01:20 CEST by the dblp team
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