Yusuf H. Roohani

12 papers A* 2Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. ICLR Yusuf H. Roohani, Andrew H. Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec
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
2024	J	`jnl`	BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. CoRR Yusuf H. Roohani, Jian Vora, Qian Huang, Zachary Steinhart, Alexander Marson, Percy Liang, Jure Leskovec
2024	J	`jnl`	How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. CoRR Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake
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
2023	A*	`conf`	Zero-shot causal learning. NeurIPS Hamed Nilforoshan, Michael Moor, Yusuf H. Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
2023	J	`jnl`	Zero-shot causal learning. CoRR Hamed Nilforoshan, Michael Moor, Yusuf H. Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
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
2021	—	`conf`	Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2021	J	`jnl`	Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2018	—	`conf`	Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability. COMPAY/OMIA@MICCAI Yusuf H. Roohani, Eric G. Kiss
2018	J	`jnl`	Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI. CoRR Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope