Dmitry Krotov

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Unsupervised Learning

Similarity Search

Top Venues

Publications

Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR (2024)
Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman
Sparse Distributed Memory is a Continual Learner. CoRR (2023)
Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman
Sparse Distributed Memory is a Continual Learner. ICLR (2023)
Bishwajit Saha, Dmitry Krotov, Mohammed J. Zaki, Parikshit Ram
End-to-end Differentiable Clustering with Associative Memories. CoRR (2023)
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
Energy Transformer. NeurIPS (2023)
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
Energy Transformer. CoRR (2023)
Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
Long Sequence Hopfield Memory. CoRR (2023)
Bishwajit Saha, Dmitry Krotov, Mohammed J. Zaki, Parikshit Ram
End-to-end Differentiable Clustering with Associative Memories. ICML (2023)
Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
Long Sequence Hopfield Memory. NeurIPS (2023)
Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR (2023)
Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki
Modern Hopfield Networks for graph embedding. Frontiers Big Data 5 (2022)
Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki
Associative Learning for Network Embedding. CoRR (2022)
Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov
Can a Fruit Fly Learn Word Embeddings? CoRR (2021)
Dmitry Krotov, John J. Hopfield
Large Associative Memory Problem in Neurobiology and Machine Learning. ICLR (2021)
Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov
Can a Fruit Fly Learn Word Embeddings? ICLR (2021)
Dmitry Krotov
Hierarchical Associative Memory. CoRR (2021)
Dmitry Krotov, John J. Hopfield
Large Associative Memory Problem in Neurobiology and Machine Learning. CoRR (2020)
Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov
Bio-Inspired Hashing for Unsupervised Similarity Search. ICML (2020)
Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov
Bio-Inspired Hashing for Unsupervised Similarity Search. CoRR (2020)
Dmitry Krotov, John J. Hopfield
Unsupervised learning by competing hidden units. Proc. Natl. Acad. Sci. USA 116 (16) (2019)
Leopold Grinberg, John J. Hopfield, Dmitry Krotov
Local Unsupervised Learning for Image Analysis. CoRR (2019)
Dmitry Krotov, John J. Hopfield
Dense Associative Memory Is Robust to Adversarial Inputs. Neural Comput. 30 (12) (2018)
Dmitry Krotov, John J. Hopfield
Unsupervised Learning by Competing Hidden Units. CoRR (2018)
Dmitry Krotov, John J. Hopfield
Dense Associative Memory is Robust to Adversarial Inputs. CoRR (2017)
Dmitry Krotov, John J. Hopfield
Dense Associative Memory for Pattern Recognition. NIPS (2016)
Dmitry Krotov, John J. Hopfield
Dense Associative Memory for Pattern Recognition. CoRR (2016)