| Designing neural network architectures using reinforcement learning B Baker, O Gupta, N Naik, R Raskar ICLR, 2017 | 1851 | 2017 |
| Deep learning-enabled medical computer vision A Esteva, K Chou, S Yeung, N Naik, A Madani, A Mottaghi, Y Liu, E Topol, ... npj Digital Medicine 4 (1), 1-9, 2021 | 916 | 2021 |
| Large language models generate functional protein sequences across diverse families A Madani, B Krause, ER Greene, S Subramanian, BP Mohr, JM Holton, ... Nature Biotechnology 41 (8), 1099-1106, 2023 | 582 | 2023 |
| Streetscore-predicting the perceived safety of one million streetscapes N Naik, J Philipoom, R Raskar, C Hidalgo IEEE Conference on Computer Vision and Pattern Recognition Workshops, 779-785, 2014 | 515 | 2014 |
| Deep learning the city: Quantifying urban perception at a global scale A Dubey, N Naik, D Parikh, R Raskar, CA Hidalgo ECCV 2016, 196-212, 2016 | 513 | 2016 |
| Accelerating neural architecture search using performance prediction B Baker, O Gupta, R Raskar, N Naik ICLR Workshops, 2018 | 455 | 2018 |
| Big data and big cities: The promises and limitations of improved measures of urban life EL Glaeser, SD Kominers, M Luca, N Naik Economic Inquiry 56 (1), 114-137, 2018 | 372 | 2018 |
| Computer vision uncovers predictors of physical urban change N Naik, SD Kominers, R Raskar, EL Glaeser, CA Hidalgo Proceedings of the National Academy of Sciences 114 (29), 7571-7576, 2017 | 346* | 2017 |
| Green streets− Quantifying and mapping urban trees with street-level imagery and computer vision I Seiferling, N Naik, C Ratti, R Proulx Landscape and Urban Planning 165, 93-101, 2017 | 295 | 2017 |
| Pairwise confusion for fine-grained visual classification A Dubey, O Gupta, P Guo, R Raskar, R Farrell, N Naik Proceedings of the European conference on computer vision (ECCV), 70-86, 2018 | 263 | 2018 |
| Progen: Language modeling for protein generation A Madani, B McCann, N Naik, NS Keskar, N Anand, RR Eguchi, ... arXiv preprint arXiv:2004.03497, 2020 | 259 | 2020 |
| Maximum-entropy fine-grained classification A Dubey, O Gupta, R Raskar, N Naik Neural Information Processing Systems (NeurIPS), 2018 | 220 | 2018 |
| Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains N Naik, A Madani, A Esteva, NS Keskar, MF Press, D Ruderman, DB Agus, ... Nature communications 11 (1), 5727, 2020 | 206 | 2020 |
| Progen2: exploring the boundaries of protein language models E Nijkamp, JA Ruffolo, EN Weinstein, N Naik, A Madani Cell systems 14 (11), 968-978. e3, 2023 | 194 | 2023 |
| The ai economist: Improving equality and productivity with ai-driven tax policies S Zheng, A Trott, S Srinivasa, N Naik, M Gruesbeck, DC Parkes, R Socher arXiv preprint arXiv:2004.13332, 2020 | 171 | 2020 |
| Single view reflectance capture using multiplexed scattering and time-of-flight imaging N Naik, S Zhao, A Velten, R Raskar, K Bala Proceedings of the 2011 SIGGRAPH Asia conference, 1-10, 2011 | 128 | 2011 |
| Cities are physical too: Using computer vision to measure the quality and impact of urban appearance N Naik, R Raskar, CA Hidalgo American Economic Review 106 (5), 128-132, 2016 | 117 | 2016 |
| A light transport model for mitigating multipath interference in time-of-flight sensors N Naik, A Kadambi, C Rhemann, S Izadi, R Raskar, S Bing Kang IEEE Conference on Computer Vision and Pattern Recognition, 73-81, 2015 | 117 | 2015 |
| EDICT: Exact Diffusion Inversion via Coupled Transformations B Wallace, A Gokul, N Naik CVPR, 2023 | 101 | 2023 |
| Casting your model: Learning to localize improves self-supervised representations RR Selvaraju, K Desai, J Johnson, N Naik IEEE/CVF Conference on Computer Vision and Pattern Recognition, 11058-11067, 2021 | 89 | 2021 |
Ramesh RaskarAssociate Professor, MIT Media LabVerified email at mit.edu
