Benjamin Hoover

Publications

• Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories

  • • Benjamin Hoover
    • Hendrik Strobelt
    • et al.
  • 2023
  • NeurIPS 2023

  Workshop paper

• DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

  • • Zijie Wang
    • Evan Montoya
    • et al.
  • 2023
  • ACL 2023

  Conference paper

• Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

  • • Hendrik Strobelt
    • Albert Webson
    • et al.
  • 2022
  • VIS 2022

  Conference paper

• Interactive Exploration for 60 Years of AI Research

  • • Hendrik Strobelt
    • Benjamin Hoover
  • 2021
  • NeurIPS 2021

  Demo paper

• LMdiff: A Visual Diff Tool to Compare Language Models

  • • Hendrik Strobelt
    • Benjamin Hoover
    • et al.
  • 2021
  • EMNLP 2021

  Demo paper

• Can a Fruit Fly Learn Word Embeddings?

  • • Yuchen Liang
    • Chaitanya K. Ryali
    • et al.
  • 2021
  • ICLR 2021

  Conference paper

• Transformer-based neural networks capture organic chemistry grammar from unsupervised learning of chemical reactions

  • • Philippe Schwaller
    • Benjamin Hoover
    • et al.
  • 2021
  • ACS Spring 2021

  Talk

• CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

  • • Vijil Chenthamarakshan
    • Payel Das
    • et al.
  • 2020
  • NeurIPS 2020

  Conference paper

• Shared Interest: Human Annotations vs. AI Saliency

  • • Angie Boggust
    • Benjamin Hoover
    • et al.
  • 2020
  • NeurIPS 2020

  Demo paper

• Reaction Transformers for Fingerprints, Classification and Atom-Mapping

  • • Philippe Schwaller
    • Daniel Probst
    • et al.
  • 2020
  • ACS Fall 2020

  Talk