Dense associative memory for pattern recognition D Krotov, JJ Hopfield Advances in Neural Information Processing Systems, 1172-1180, 2016 | 346 | 2016 |
Unsupervised learning by competing hidden units D Krotov, JJ Hopfield Proceedings of the National Academy of Sciences 116 (16), 7723-7731, 2019 | 175 | 2019 |
Infrared sensitivity of unstable vacua D Krotov, AM Polyakov Nuclear Physics B 849 (2), 410-432, 2011 | 155 | 2011 |
Morphogenesis at criticality D Krotov, JO Dubuis, T Gregor, W Bialek Proceedings of the National Academy of Sciences 111 (10), 3683-3688, 2014 | 140 | 2014 |
Dense associative memory is robust to adversarial inputs D Krotov, J Hopfield Neural computation 30 (12), 3151-3167, 2018 | 127 | 2018 |
Large associative memory problem in neurobiology and machine learning D Krotov, J Hopfield International Conference on Learning Representations, 2020 | 121 | 2020 |
Holes in the ghost condensate D Krotov, C Rebbi, V Rubakov, V Zakharov Physical Review D 71 (4), 045014, 2005 | 51 | 2005 |
Quantum field theory as effective BV theory from Chern–Simons D Krotov, A Losev Nuclear physics B 806 (3), 529-566, 2009 | 34 | 2009 |
A new frontier for hopfield networks D Krotov Nature Reviews Physics 5 (7), 366-367, 2023 | 33 | 2023 |
Hierarchical associative memory D Krotov arXiv preprint arXiv:2107.06446, 2021 | 33 | 2021 |
Bio-Inspired Hashing for Unsupervised Similarity Search CK Ryali, JJ Hopfield, L Grinberg, D Krotov International Conference on Machine Learning, 8739-8750, 2020 | 30 | 2020 |
Can a Fruit Fly Learn Word Embeddings? Y Liang, CK Ryali, B Hoover, L Grinberg, S Navlakha, MJ Zaki, D Krotov International Conference on Learning Representations, 2021 | 28 | 2021 |
Energy transformer B Hoover, Y Liang, B Pham, R Panda, H Strobelt, DH Chau, M Zaki, ... Advances in Neural Information Processing Systems 36, 2024 | 24 | 2024 |
Building transformers from neurons and astrocytes L Kozachkov, KV Kastanenka, D Krotov Proceedings of the National Academy of Sciences 120 (34), e2219150120, 2023 | 21 | 2023 |
On pure spinor superfield formalism V Alexandrov, D Krotov, A Losev, V Lysov Journal of High Energy Physics 2007 (10), 074, 2007 | 19 | 2007 |
Local unsupervised learning for image analysis L Grinberg, J Hopfield, D Krotov arXiv preprint arXiv:1908.08993, 2019 | 16 | 2019 |
Sparse distributed memory is a continual learner T Bricken, X Davies, D Singh, D Krotov, G Kreiman arXiv preprint arXiv:2303.11934, 2023 | 10 | 2023 |
A Universal Abstraction for Hierarchical Hopfield Networks B Hoover, DH Chau, H Strobelt, D Krotov The Symbiosis of Deep Learning and Differential Equations II, 2022 | 10 | 2022 |
Long sequence Hopfield memory H Chaudhry, J Zavatone-Veth, D Krotov, C Pehlevan Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
Memory in plain sight: A survey of the uncanny resemblances between diffusion models and associative memories B Hoover, H Strobelt, D Krotov, J Hoffman, Z Kira, DH Chau arXiv preprint arXiv:2309.16750, 2023 | 6 | 2023 |