Dense Associative Memory with Epanechnikov Energy
- Benjamin Hoover
- Zhaoyang Shi
- et al.
- 2025
- NeurIPS 2025
Benjamin Hoover
Title
Research Engineer
Bio
I am a Research Engineer working to breath efficiency and interpretability into foundation models using the lens of Associative Memories and Hopfield Networks.
Publications
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
- Alec Helbling
- Tuna Meral
- et al.
- 2025
- ICML 2025
Modern Methods in Associative Memory
- 2025
- ICML 2025
Dense Associative Memory with Epanechnikov energy
- Benjamin Hoover
- Krishnakumar Balasubramanian
- et al.
- 2025
- ICLR 2025
Dense Associative Memory Through the Lens of Random Features
- Benjamin Hoover
- Duen Horng Chau
- et al.
- 2024
- NeurIPS 2024
Energy Transformer
- Benjamin Hoover
- Yuchen Liang
- et al.
- 2023
- NeurIPS 2023
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories
- 2023
- NeurIPS 2023
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
- Zijie Wang
- Evan Montoya
- et al.
- 2023
- ACL 2023
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
- Hendrik Strobelt
- Albert Webson
- et al.
- 2022
- VIS 2022
Interactive Exploration for 60 Years of AI Research
- 2021
- NeurIPS 2021
Blog posts
IBM’s Dmitry Krotov wants to crack the ‘physics’ of memory
ResearchKim MartineauHow to visualize modern AI research
ResearchKim MartineauBreaking down the AI transformer
ExplainerKim MartineauIBM RXN for Chemistry: Unveiling the grammar of the organic chemistry language
ResearchPhilippe Schwaller, Hendrik Strobelt, Teodoro Laino, and Benjamin Hoover7 minute read
Top collaborators
DK
Dmitry Krotov
Research Staff Member
HS
Hendrik Strobelt
Senior Research Scientist
PR
Parikshit Ram
Research Staff Member