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
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative ModelsVijil ChenthamarakshanPayel Daset al.2020NeurIPS 2020
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