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Benjamin Hoover

6 papers at tracked venues · 5 at CORE A* · active 2024–2026

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Venues

NeurIPS ×2AAAI ×1CHI ×1ICML ×1IJCAI ×1

Frequent coauthors

Duen Horng Chau
×5
Seongmin Lee
×3
Alec Helbling
×3
Zijie J. Wang
×3
Aeree Cho
×2
Grace C. Kim
×2
Alexander Karpekov
×2
Dmitry Krotov
×2
Parikshit Ram
×2
Hendrik Strobelt
×2
Minsuk Kahng
×1
Tuna Han Salih Meral
×1

Papers

  1. Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation
    CHI 2026 ·
    Aeree Cho
    ,
    Grace C. Kim
    ,
    Alexander Karpekov
    ,
    Seongmin Lee
    ,
    Alec Helbling
    , Benjamin Hoover,
    Zijie J. Wang
    ,
    Minsuk Kahng
    ,
    Duen Horng (Polo) Chau
  2. ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
    ICML 2025 ·
    Alec Helbling
    ,
    Tuna Han Salih Meral
    , Benjamin Hoover,
    Pinar Yanardag
    ,
    Duen Horng Chau
  3. Dense Associative Memory with Epanechnikov Energy
    NeurIPS 2025 · Benjamin Hoover,
    Zhaoyang Shi
    ,
    Krishnakumar Balasubramanian
    ,
    Dmitry Krotov
    ,
    Parikshit Ram
  4. TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models
    AAAI 2025 ·
    Aeree Cho
    ,
    Grace C. Kim
    ,
    Alexander Karpekov
    ,
    Alec Helbling
    ,
    Zijie J. Wang
    ,
    Seongmin Lee
    , Benjamin Hoover,
    Duen Horng (Polo) Chau
  5. Dense Associative Memory Through the Lens of Random Features
    NeurIPS 2024 · Benjamin Hoover,
    Duen Horng Chau
    ,
    Hendrik Strobelt
    ,
    Parikshit Ram
    ,
    Dmitry Krotov
  6. Interactive Visual Learning for Stable Diffusion
    IJCAI 2024 ·
    Seongmin Lee
    , Benjamin Hoover,
    Hendrik Strobelt
    ,
    Zijie J. Wang
    ,
    Shengyun Peng
    ,
    Austin P. Wright
    ,
    Kevin Li
    ,
    Haekyu Park
    ,
    Haoyang Yang
    ,
    Duen Horng Chau