Dmitry Krotov

IBM (United States) — United States

Computer Science · Physical Sciences

11h-index778citations40works3.02yr avg
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Research Topics

Neural Networks and Applications(13), Neural dynamics and brain function(8), Advanced Memory and Neural Computing(6), Black Holes and Theoretical Physics(5), Neuroscience and Neuropharmacology Research(4)

Publications40 total

Dense Associative Memory with Epanechnikov Energy
arXiv (Cornell University)·2025Open Access
Operator learning for reconstructing flow fields from sparse measurements: An energy transformer approach
Journal of Computational Physics·2025· 3 cited
Neuron–astrocyte associative memory
Proceedings of the National Academy of Sciences·2025· 13 citedOpen Access
M+: Extending MemoryLLM with Scalable Long-Term Memory
arXiv (Cornell University)·2025· 1 citedOpen Access
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
arXiv (Cornell University)·2025· 2 citedOpen Access
Dense Associative Memory Through the Lens of Random Features
arXiv (Cornell University)·2024· 1 citedOpen Access
Long sequence Hopfield memory*
Journal of Statistical Mechanics Theory and Experiment·2024· 7 cited
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory
arXiv (Cornell University)·2024Open Access
Dense Associative Memory Through the Lens of Random Features
2024
Neuron-Astrocyte Associative Memory
arXiv (Cornell University)·2023Open Access
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models
arXiv (Cornell University)·2023· 3 citedOpen Access
Building transformers from neurons and astrocytes
Proceedings of the National Academy of Sciences·2023· 42 citedOpen Access
Long Sequence Hopfield Memory
arXiv (Cornell University)·2023Open Access
End-to-end Differentiable Clustering with Associative Memories
arXiv (Cornell University)·2023Open Access
A new frontier for Hopfield networks
Nature Reviews Physics·2023· 73 cited
Sparse Distributed Memory is a Continual Learner
arXiv (Cornell University)·2023· 5 citedOpen Access
Energy Transformer
arXiv (Cornell University)·2023· 2 citedOpen Access
Modern Hopfield Networks for graph embedding
Frontiers in Big Data·2022· 4 citedOpen Access
Building Transformers from Neurons and Astrocytes
2022· 5 citedOpen Access
Associative Learning for Network Embedding
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

J. J. Hopfield(7), Benjamin Hoover(6), Mohammed J. Zaki(5), Leo Kozachkov(4), Yuchen Liang(4), Hendrik Strobelt(4), Duen Horng Chau(4), Parikshit Ram(4), Lea T. Grinberg(3), Julien Dubuis(2), Thomas Gregor(2), Ksenia V. Kastanenka(2), A. Losev(2), Jean-Jacques Slotine(2), Hamza Tahir Chaudhry(2), Jacob A. Zavatone-Veth(2), Cengiz Pehlevan(2), Chaitanya K. Ryali(2), Qian Zhang(2), George Em Karniadakis(2)