| 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 | 879 | 2018 |
| Experience replay for continual learning D Rolnick, A Ahuja, J Schwarz, T Lillicrap, G Wayne Advances in Neural Information Processing Systems 32, 2019 | 705 | 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 | 272 | 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 | 184 | 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 | 131 | 2018 |
| Somatic mutations and neoepitope homology in melanomas treated with CTLA-4 blockade T Nathanson, A Ahuja, A Rubinsteyn, BA Aksoy, MD Hellmann, D Miao, ... Cancer immunology research 5 (1), 84-91, 2017 | 126 | 2017 |
| 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 | 123 | 2015 |
| 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), 5223, 2019 | 115 | 2019 |
| Hierarchical visuomotor control of humanoids J Merel, A Ahuja, V Pham, S Tunyasuvunakool, S Liu, D Tirumala, ... arXiv preprint arXiv:1811.09656, 2018 | 107 | 2018 |
| 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 | 97 | 2020 |
| 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 | 92 | 2019 |
| 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 | 65 | 2014 |
| Learning Representations for Weakly Supervised Natural Language Processing Tasks F Huang, A Ahuja, D Downey, Y Yang, Y Guo, A Yates | 65 | 2013 |
| Imitating interactive intelligence J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2012.05672, 2020 | 56 | 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 | 41 | 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 | 40 | 2018 |
| 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 | 30 | 2018 |
| Behavior priors for efficient reinforcement learning D Tirumala, A Galashov, H Noh, L Hasenclever, R Pascanu, J Schwarz, ... The Journal of Machine Learning Research 23 (1), 9989-10056, 2022 | 29 | 2022 |
| Creating multimodal interactive agents with imitation and self-supervised learning DMIA Team, J Abramson, A Ahuja, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2112.03763, 2021 | 29 | 2021 |
| Collaborating with language models for embodied reasoning I Dasgupta, C Kaeser-Chen, K Marino, A Ahuja, S Babayan, F Hill, ... arXiv preprint arXiv:2302.00763, 2023 | 22 | 2023 |
