Dense Associative Memory for Pattern Recognition. - Dmitry Krotov; John J. Hopfield (NIPS, 2016)

Dense Associative Memory Is Robust to Adversarial Inputs. - Dmitry Krotov; John J. Hopfield (Neural Comput., 2018)

Local Unsupervised Learning for Image Analysis. - Leopold Grinberg; John J. Hopfield; Dmitry Krotov (CoRR, 2019)

Unsupervised learning by competing hidden units. - Dmitry Krotov; John J. Hopfield (Proc. Natl. Acad. Sci. USA, 2019)

Bio-Inspired Hashing for Unsupervised Similarity Search. - Chaitanya K. Ryali; John J. Hopfield; Leopold Grinberg; Dmitry Krotov (ICML, 2020)

Large Associative Memory Problem in Neurobiology and Machine Learning. - Dmitry Krotov; John J. Hopfield (ICLR, 2021)

Can a Fruit Fly Learn Word Embeddings? - Yuchen Liang; Chaitanya K. Ryali; Benjamin Hoover; Leopold Grinberg; Saket Navlakha; Mohammed J. Zaki; Dmitry Krotov (ICLR, 2021)

Hierarchical Associative Memory. - Dmitry Krotov (CoRR, 2021)

Associative Learning for Network Embedding. - Yuchen Liang; Dmitry Krotov; Mohammed J. Zaki (CoRR, 2022)

Modern Hopfield Networks for graph embedding. - Yuchen Liang; Dmitry Krotov; Mohammed J. Zaki (Frontiers Big Data, 2022)

Sparse Distributed Memory is a Continual Learner. - Trenton Bricken; Xander Davies; Deepak Singh; Dmitry Krotov; Gabriel Kreiman (ICLR, 2023)

End-to-end Differentiable Clustering with Associative Memories. - Bishwajit Saha; Dmitry Krotov; Mohammed J. Zaki; Parikshit Ram (ICML, 2023)

Long Sequence Hopfield Memory. - Hamza Tahir Chaudhry; Jacob A. Zavatone-Veth; Dmitry Krotov; Cengiz Pehlevan (NeurIPS, 2023)

Energy Transformer. - Benjamin Hoover; Yuchen Liang; Bao Pham; Rameswar Panda; Hendrik Strobelt; Duen Horng Chau; Mohammed J. Zaki; Dmitry Krotov (NeurIPS, 2023)

Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. - Benjamin Hoover; Hendrik Strobelt; Dmitry Krotov; Judy Hoffman; Zsolt Kira; Duen Horng Chau (CoRR, 2023)

Dense Associative Memory Through the Lens of Random Features. - Benjamin Hoover; Duen Horng Chau; Hendrik Strobelt; Parikshit Ram; Dmitry Krotov (NeurIPS, 2024)

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. - Zexue He; Leonid Karlinsky; Donghyun Kim 006; Julian J. McAuley; Dmitry Krotov; Rogério Feris (CoRR, 2024)

Losing dimensions: Geometric memorization in generative diffusion. - Beatrice Achilli; Enrico Ventura; Gianluigi Silvestri; Bao Pham; Gabriel Raya; Dmitry Krotov; Carlo Lucibello; Luca Ambrogioni (CoRR, 2024)

Operator learning for reconstructing flow fields from sparse measurements: An energy transformer approach. - Qian Zhang; Dmitry Krotov; George Em Karniadakis (J. Comput. Phys., 2025)

M+: Extending MemoryLLM with Scalable Long-Term Memory. - Yu Wang 170; Dmitry Krotov; Yuanzhe Hu; Yifan Gao 001; Wangchunshu Zhou; Julian J. McAuley; Dan Gutfreund; Rogério Feris; Zexue He (CoRR, 2025)

Small Models, Smarter Learning: The Power of Joint Task Training. - Csaba Both; Benjamin Hoover; Hendrik Strobelt; Dmitry Krotov; Daniel Karl I. Weidele; Mauro Martino; Nima Dehmamy (CoRR, 2025)

Memorization to Generalization: Emergence of Diffusion Models from Associative Memory. - Bao Pham; Gabriel Raya; Matteo Negri; Mohammed J. Zaki; Luca Ambrogioni; Dmitry Krotov (CoRR, 2025)

Dense Associative Memory with Epanechnikov Energy. - Benjamin Hoover; Zhaoyang Shi; Krishnakumar Balasubramanian 002; Dmitry Krotov; Parikshit Ram (CoRR, 2025)

Modern Methods in Associative Memory. - Dmitry Krotov; Benjamin Hoover; Parikshit Ram; Bao Pham (CoRR, 2025)