Benjamin Hoover

Publications

• ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

  • • Alec Helbling
    • Tuna Meral
    • et al.
  • 2025
  • ICML 2025

• Modern Methods in Associative Memory

  • • Dmitry Krotov
    • Benjamin Hoover
    • et al.
  • 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

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

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

• LMdiff: A Visual Diff Tool to Compare Language Models

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