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Eric Eaton

12 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

ICLR ×4AAAI ×2COLT ×1ICML ×1ICRA ×1MICCAI ×1NeurIPS ×1WACV ×1

Frequent coauthors

Marcel Hussing
×4
Kyle Vedder
×3
Guiqiu Liao
×3
Matjaz Jogan
×3
Daniel A. Hashimoto
×3
Michael Kearns
×2
Aaron Roth
×2
Sikata Bela Sengupta
×2
Jessica Sorrell
×2
Dinesh Jayaraman
×2
Neehar Peri
×2
Ishan Khatri
×2

Papers

  1. Model Agreement via Anchoring
    COLT 2026 · Eric Eaton,
    Surbhi Goel
    ,
    Marcel Hussing
    ,
    Michael Kearns
    ,
    Aaron Roth
    ,
    Sikata Bela Sengupta
    ,
    Jessica Sorrell
  2. Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model
    ICLR 2025 ·
    Long Le
    ,
    Jason Xie
    ,
    William Liang
    ,
    Hung-Ju Wang
    ,
    Yue Yang
    ,
    Yecheng Jason Ma
    ,
    Kyle Vedder
    ,
    Arjun Krishna
    ,
    Dinesh Jayaraman
    , Eric Eaton
  3. Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models
    AAAI 2025 ·
    Jean Park
    ,
    Kuk Jin Jang
    ,
    Basam Alasaly
    ,
    Sriharsha Mopidevi
    ,
    Andrew Zolensky
    , Eric Eaton,
    Insup Lee
    ,
    Kevin B. Johnson
  4. Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video
    WACV 2025 ·
    Guiqiu Liao
    ,
    Matjaz Jogan
    ,
    Sai Koushik
    , Eric Eaton,
    Daniel A. Hashimoto
  5. FORLA: Federated Object-Centric Representation Learning with Slot Attention
    NeurIPS 2025 ·
    Guiqiu Liao
    ,
    Matjaz Jogan
    , Eric Eaton,
    Daniel A. Hashimoto
  6. Future Slot Prediction for Unsupervised Object Discovery in Surgical Video
    MICCAI 2025 ·
    Guiqiu Liao
    ,
    Matjaz Jogan
    ,
    Marcel Hussing
    ,
    Edward Zhang
    , Eric Eaton,
    Daniel A. Hashimoto
  7. Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
    ICML 2025 · Eric Eaton,
    Marcel Hussing
    ,
    Michael Kearns
    ,
    Aaron Roth
    ,
    Sikata Bela Sengupta
    ,
    Jessica Sorrell
  8. MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
    ICLR 2025 ·
    Claas Voelcker
    ,
    Marcel Hussing
    , Eric Eaton,
    Amir-massoud Farahmand
    ,
    Igor Gilitschenski
  9. Neural Eulerian Scene Flow Fields
    ICLR 2025 ·
    Kyle Vedder
    ,
    Neehar Peri
    ,
    Ishan Khatri
    ,
    Siyi Li
    , Eric Eaton,
    Mehmet Kemal Kocamaz
    ,
    Yue Wang
    ,
    Zhiding Yu
    ,
    Deva Ramanan
    ,
    Joachim Pehserl
  10. A Metacognitive Approach to Out-of-Distribution Detection for Segmentation
    ICRA 2024 ·
    Meghna Gummadi
    ,
    Cassandra Kent
    ,
    Karl Schmeckpeper
    , Eric Eaton
  11. Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges
    AAAI 2024 · Eric Eaton,
    Susan L. Epstein
  12. ZeroFlow: Scalable Scene Flow via Distillation
    ICLR 2024 ·
    Kyle Vedder
    ,
    Neehar Peri
    ,
    Nathaniel Chodosh
    ,
    Ishan Khatri
    , Eric Eaton,
    Dinesh Jayaraman
    ,
    Yang Liu
    ,
    Deva Ramanan
    ,
    James Hays