Dmitry Krotov

According to our database, Dmitry Krotov authored at least 24 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Modern Methods in Associative Memory.

Dmitry Krotov, Benjamin Hoover, Parikshit Ram, Bao Pham

CoRR, July, 2025

Dense Associative Memory with Epanechnikov Energy.

Benjamin Hoover, Zhaoyang Shi, Krishnakumar Balasubramanian, Dmitry Krotov, Parikshit Ram

CoRR, June, 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, May, 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, May, 2025

M+: Extending MemoryLLM with Scalable Long-Term Memory.

Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He

CoRR, February, 2025

Operator learning for reconstructing flow fields from sparse measurements: An energy transformer approach.

Qian Zhang, Dmitry Krotov, George Em Karniadakis

J. Comput. Phys., 2025

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

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.

Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris

CoRR, 2024

Dense Associative Memory Through the Lens of Random Features.

Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Energy Transformer.

Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Long Sequence Hopfield Memory.

Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

End-to-end Differentiable Clustering with Associative Memories.

Bishwajit Saha, Dmitry Krotov, Mohammed J. Zaki, Parikshit Ram

Proceedings of the International Conference on Machine Learning, 2023

Sparse Distributed Memory is a Continual Learner.

Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Modern Hopfield Networks for graph embedding.

Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki

Frontiers Big Data, 2022

Associative Learning for Network Embedding.

Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki

CoRR, 2022

2021

Hierarchical Associative Memory.

Dmitry Krotov

CoRR, 2021

Can a Fruit Fly Learn Word Embeddings?

Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov

Proceedings of the 9th International Conference on Learning Representations, 2021

Large Associative Memory Problem in Neurobiology and Machine Learning.

Dmitry Krotov, John J. Hopfield

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Bio-Inspired Hashing for Unsupervised Similarity Search.

Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Unsupervised learning by competing hidden units.

Dmitry Krotov, John J. Hopfield

Proc. Natl. Acad. Sci. USA, 2019

Local Unsupervised Learning for Image Analysis.

Leopold Grinberg, John J. Hopfield, Dmitry Krotov

CoRR, 2019

2018

Dense Associative Memory Is Robust to Adversarial Inputs.

Dmitry Krotov, John J. Hopfield

Neural Comput., 2018

2016

Dense Associative Memory for Pattern Recognition.

Dmitry Krotov, John J. Hopfield

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016