| Theoretical issues in deep networks T Poggio, A Banburski, Q Liao Proceedings of the National Academy of Sciences 117 (48), 30039-30045, 2020 | 280 | 2020 |
| Theory of deep learning III: Dynamics and generalization in deep networks A Banburski, Q Liao, B Miranda, T Poggio, L Rosasco, J Hidary, ... Center for Brains, Minds and Machines (CBMM) Memo No 90, 2019 | 209* | 2019 |
| LLMR: Real-time Prompting of Interactive Worlds using Large Language Models F De La Torre, CM Fang, H Huang, A Banburski-Fahey, JA Fernandez, ... Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems …, 2024 | 136 | 2024 |
| Biologically inspired mechanisms for adversarial robustness MR Vuyyuru, A Banburski, N Pant, T Poggio Advances in neural information processing systems 33, 2135-2146, 2020 | 62* | 2020 |
| Production and discovery of true muonium in fixed-target experiments A Banburski, P Schuster Physical Review D—Particles, Fields, Gravitation, and Cosmology 86 (9), 093007, 2012 | 54 | 2012 |
| Reprompting: Automated chain-of-thought prompt inference through gibbs sampling W Xu, A Banburski-Fahey, N Jojic arXiv preprint arXiv:2305.09993, 2023 | 50* | 2023 |
| Complexity control by gradient descent in deep networks T Poggio, Q Liao, A Banburski Nature communications 11 (1), 1027, 2020 | 43 | 2020 |
| Pachner moves in a 4d Riemannian holomorphic Spin Foam model A Banburski, LQ Chen, L Freidel, J Hnybida Physical Review D 92 (12), 124014, 2015 | 43 | 2015 |
| Theory IIIb: Generalization in deep networks T Poggio, Q Liao, B Miranda, A Banburski, X Boix, J Hidary arXiv preprint arXiv:1806.11379, 2018 | 38 | 2018 |
| Double descent in the condition number T Poggio, G Kur, A Banburski arXiv preprint arXiv:1912.06190, 2019 | 36 | 2019 |
| A surprising linear relationship predicts test performance in deep networks Q Liao, B Miranda, A Banburski, J Hidary, T Poggio arXiv preprint arXiv:1807.09659, 2018 | 36 | 2018 |
| Neural collapse in deep homogeneous classifiers and the role of weight decay A Rangamani, A Banburski-Fahey ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 32 | 2022 |
| Neural-guided, bidirectional program search for abstraction and reasoning S Alford, A Gandhi, A Rangamani, A Banburski, T Wang, S Dandekar, ... International Conference on Complex Networks and Their Applications, 657-668, 2021 | 30 | 2021 |
| Math operations in mixed or virtual reality J Lanier, A Banburski US Patent 10,192,363, 2019 | 24 | 2019 |
| Snyder momentum space in relative locality A Banburski, L Freidel arXiv preprint arXiv:1308.0300, 2013 | 23 | 2013 |
| Steps towards prompt-based creation of virtual worlds J Roberts, A Banburski-Fahey, J Lanier arXiv preprint arXiv:2211.05875, 2022 | 22 | 2022 |
| Dreaming with ARC A Banburski, A Ghandi, S Alford, S Dandekar, P Chin, T Poggio NeurIPS 2020 LMCA Workshop, 2020 | 18* | 2020 |
| Real-time animation generation and control on rigged models via large language models H Huang, F De La Torre, CM Fang, A Banburski-Fahey, J Amores, ... arXiv preprint arXiv:2310.17838, 2023 | 17 | 2023 |
| Deep classifiers trained with the square loss M Xu, A Rangamani, A Banburski, Q Liao, T Galanti, T Poggio Center for Brains, Minds and Machines (CBMM), 2022 | 14* | 2022 |
| DreamGarden: A Designer Assistant for Growing Games from a Single Prompt S Earle, S Parajuli, A Banburski-Fahey Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems …, 2025 | 12 | 2025 |
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
