Dense Associative Memory with Epanechnikov energyBenjamin HooverKrishnakumar Balasubramanianet al.2025ICLR 2025
Dense Associative Memory Through the Lens of Random FeaturesBenjamin HooverDuen Horng Chauet al.2024NeurIPS 2024
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative MemoriesBenjamin HooverHendrik Strobeltet al.2023NeurIPS 2023
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative ModelsZijie WangEvan Montoyaet al.2023ACL 2023
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language ModelsHendrik StrobeltAlbert Websonet al.2022VIS 2022
LMdiff: A Visual Diff Tool to Compare Language ModelsHendrik StrobeltBenjamin Hooveret al.2021EMNLP 2021
Transformer-based neural networks capture organic chemistry grammar from unsupervised learning of chemical reactionsPhilippe SchwallerBenjamin Hooveret al.2021ACS Spring 2021
29 May 2023US11663851Detecting And Notifying For Potential Biases In Artificial Intelligence Applications
IBM RXN for Chemistry: Unveiling the grammar of the organic chemistry languageResearch Philippe Schwaller, Hendrik Strobelt, Teodoro Laino, and Benjamin Hoover07 Apr 20217 minute readAccelerated DiscoveryAIScience