| Few-shot text classification with distributional signatures Y Bao, M Wu, S Chang, R Barzilay International Conference on Learning Representations, 2020 | 246 | 2020 |
| Diffdock-pp: Rigid protein-protein docking with diffusion models MA Ketata, C Laue, R Mammadov, H Stärk, M Wu, G Corso, C Marquet, ... arXiv preprint arXiv:2304.03889, 2023 | 85 | 2023 |
| Characteristics of drug combination therapy in oncology by analyzing clinical trial data on ClinicalTrials. gov M Wu, M Sirota, AJ Butte, BIN Chen Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 68, 2015 | 84 | 2015 |
| Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project A Furuhama, A Kitazawa, J Yao, CE Matos Dos Santos, J Rathman, ... SAR and QSAR in Environmental Research 34 (12), 983-1001, 2023 | 17 | 2023 |
| Disease spectrum of breast cancer susceptibility genes J Wang, P Singh, K Yin, J Zhou, Y Bao, M Wu, K Pathak, SK McKinley, ... Frontiers in Oncology 11, 663419, 2021 | 17 | 2021 |
| Non-medullary thyroid cancer susceptibility genes: evidence and disease spectrum J Zhou, P Singh, K Yin, J Wang, Y Bao, M Wu, K Pathak, SK McKinley, ... Springer International Publishing, 2021 | 15 | 2021 |
| Disease spectrum of gastric cancer susceptibility genes SK McKinley, P Singh, K Yin, J Wang, J Zhou, Y Bao, M Wu, K Pathak, ... Medical Oncology 38 (5), 46, 2021 | 12 | 2021 |
| Sample, estimate, aggregate: A recipe for causal discovery foundation models M Wu, Y Bao, R Barzilay, T Jaakkola Transactions on Machine Learning Research, 2025 | 8 | 2025 |
| Contextualizing biological perturbation experiments through language M Wu, R Littman, J Levine, L Qiu, T Biancalani, D Richmond, JC Huetter The Thirteenth International Conference on Learning Representations, 2025 | 6 | 2025 |
| Influenza vaccine strain selection with an AI-based evolutionary and antigenicity model W Shi, J Wohlwend, M Wu, R Barzilay Nature Medicine 31 (11), 3862-3870, 2025 | 5 | 2025 |
| Thought calibration: Efficient and confident test-time scaling M Wu, C Zhou, S Bates, T Jaakkola arXiv preprint arXiv:2505.18404, 2025 | 3 | 2025 |
| Identifying biological perturbation targets through causal differential networks M Wu, U Padia, SH Murphy, R Barzilay, T Jaakkola Proceedings of the 42nd International Conference on Machine Learning, 2025 | 3* | 2025 |
| Learning to refine domain knowledge for biological network inference P Li, M Wu arXiv preprint arXiv:2410.14436, 2024 | 2 | 2024 |
| Proflow: An iterative refinement model for protac-induced structure prediction B Qiang, W Shi, Y Song, M Wu arXiv preprint arXiv:2405.06654, 2024 | 2 | 2024 |
| Predicting sub-population specific viral evolution W Shi, M Wu, R Barzilay arXiv preprint arXiv:2410.21518, 2024 | | 2024 |
| VaxSeer: Selecting influenza vaccine strains through evolutionary and antigenicity models W Shi, J Wohlwend, M Wu, R Barzilay | | 2024 |
| Improving influenza A vaccine strain selection through deep evolutionary models W Shi, J Wohlwend, M Wu, R Barzilay bioRxiv, 2023.11. 14.567037, 2023 | | 2023 |
| CHARACTERISTICS OF DRUG COMBINATION THERAPY IN ONCOLOGY BY ANALYZING CLINICAL TRIAL DATA ON CLINICALTRIALS. GOV RB Altman, AK Dunker, L Hunter, MD Ritchie, TA Murray, TE Klein, M WU, ... | | 2014 |
Regina BarzilayProfessor of EECS, MITVerified email at csail.mit.edu
