| Genomic features of response to combination immunotherapy in patients with advanced non-small-cell lung cancer MD Hellmann, T Nathanson, H Rizvi, BC Creelan, F Sanchez-Vega, ... Cancer cell 33 (5), 843-852. e4, 2018 | 652 | 2018 |
| Experience replay for continual learning D Rolnick, A Ahuja, J Schwarz, T Lillicrap, G Wayne Advances in Neural Information Processing Systems 32, 2019 | 290 | 2019 |
| Contribution of systemic and somatic factors to clinical response and resistance to PD-L1 blockade in urothelial cancer: an exploratory multi-omic analysis A Snyder, T Nathanson, SA Funt, A Ahuja, J Buros Novik, MD Hellmann, ... PLoS medicine 14 (5), e1002309, 2017 | 214 | 2017 |
| Unsupervised predictive memory in a goal-directed agent G Wayne, CC Hung, D Amos, M Mirza, A Ahuja, A Grabska-Barwinska, ... arXiv preprint arXiv:1803.10760, 2018 | 147 | 2018 |
| Rethinking data-intensive science using scalable analytics systems FA Nothaft, M Massie, T Danford, Z Zhang, U Laserson, C Yeksigian, ... Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 108 | 2015 |
| Hierarchical visuomotor control of humanoids J Merel, A Ahuja, V Pham, S Tunyasuvunakool, S Liu, D Tirumala, ... arXiv preprint arXiv:1811.09656, 2018 | 87 | 2018 |
| Neural probabilistic motor primitives for humanoid control J Merel, L Hasenclever, A Galashov, A Ahuja, V Pham, G Wayne, YW Teh, ... arXiv preprint arXiv:1811.11711, 2018 | 84 | 2018 |
| Optimizing agent behavior over long time scales by transporting value CC Hung, T Lillicrap, J Abramson, Y Wu, M Mirza, F Carnevale, A Ahuja, ... Nature communications 10 (1), 1-12, 2019 | 78 | 2019 |
| Somatic Mutations and Neoepitope Homology in Melanomas Treated with CTLA-4 BlockadeMutations and Neoepitopes in Melanoma T Nathanson, A Ahuja, A Rubinsteyn, BA Aksoy, MD Hellmann, D Miao, ... Cancer immunology research 5 (1), 84-91, 2017 | 76 | 2017 |
| Learning representations for weakly supervised natural language processing tasks F Huang, A Ahuja, D Downey, Y Yang, Y Guo, A Yates Computational Linguistics 40 (1), 85-120, 2014 | 61 | 2014 |
| Learning Representations for Weakly Supervised Natural Language Processing Tasks F Huang, A Ahuja, D Downey, Y Yang, Y Guo, A Yates | 61 | 2013 |
| V-mpo: On-policy maximum a posteriori policy optimization for discrete and continuous control HF Song, A Abdolmaleki, JT Springenberg, A Clark, H Soyer, JW Rae, ... arXiv preprint arXiv:1909.12238, 2019 | 58 | 2019 |
| Catch & Carry: reusable neural controllers for vision-guided whole-body tasks J Merel, S Tunyasuvunakool, A Ahuja, Y Tassa, L Hasenclever, V Pham, ... ACM Transactions on Graphics (TOG) 39 (4), 39: 1-39: 12, 2020 | 43 | 2020 |
| Exploiting hierarchy for learning and transfer in kl-regularized rl D Tirumala, H Noh, A Galashov, L Hasenclever, A Ahuja, G Wayne, ... arXiv preprint arXiv:1903.07438, 2019 | 31 | 2019 |
| Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer T O’Donnell, EL Christie, A Ahuja, J Buros, BA Aksoy, DDL Bowtell, ... BMC cancer 18 (1), 1-11, 2018 | 30 | 2018 |
| Imitating interactive intelligence J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2012.05672, 2020 | 28 | 2020 |
| Proton-driven plasma wakefield acceleration in AWAKE E Gschwendtner, M Turner, E Adli, A Ahuja, O Apsimon, R Apsimon, ... Philosophical Transactions of the Royal Society A 377 (2151), 20180418, 2019 | 21 | 2019 |
| Language models as representations for weakly supervised nlp tasks F Huang, A Yates, A Ahuja, D Downey Proceedings of the fifteenth conference on computational natural language …, 2011 | 20 | 2011 |
| Probing physics knowledge using tools from developmental psychology L Piloto, A Weinstein, D TB, A Ahuja, M Mirza, G Wayne, D Amos, C Hung, ... arXiv preprint arXiv:1804.01128, 2018 | 17 | 2018 |
| Behavior priors for efficient reinforcement learning D Tirumala, A Galashov, H Noh, L Hasenclever, R Pascanu, J Schwarz, ... arXiv preprint arXiv:2010.14274, 2020 | 12 | 2020 |
