PPaperPicks

Pascal Poupart

10 papers at tracked venues · 8 at CORE A* · active 2024–2025

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Venues

ICML ×4AISTATS ×2AAAI ×1ICCV ×1ICLR ×1NeurIPS ×1

Frequent coauthors

Agustinus Kristiadi
×3
Sriram Ganapathi Subramanian
×2
William Loh
×2
Yanting Miao
×2
Suraj Kothawade
×2
Ahmad Rashid
×2
Guiliang Liu
×2
Guojun Zhang
×2
Shuhui Zhu
×1
Baoxiang Wang
×1
Jihwan Jeong
×1
Xiaoyu Wang
×1

Papers

  1. Learning to Negotiate via Voluntary Commitment
    AISTATS 2025 ·
    Shuhui Zhu
    ,
    Baoxiang Wang
    ,
    Sriram Ganapathi Subramanian
    , Pascal Poupart
  2. Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
    ICML 2025 ·
    Jihwan Jeong
    ,
    Xiaoyu Wang
    ,
    Jingmin Wang
    ,
    Scott Sanner
    , Pascal Poupart
  3. Target Attribute Diffusion Models
    ICCV 2025 ·
    William Loh
    ,
    Yanting Miao
    , Pascal Poupart,
    Suraj Kothawade
  4. Towards Cost-Effective Reward Guided Text Generation
    ICML 2025 ·
    Ahmad Rashid
    ,
    Ruotian Wu
    ,
    Rongqi Fan
    ,
    Hongliang Li
    ,
    Agustinus Kristiadi
    , Pascal Poupart
  5. Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning
    ICLR 2025 ·
    Bo Yue
    ,
    Shufan Wang
    ,
    Ashish Gaurav
    ,
    Jian Li
    , Pascal Poupart,
    Guiliang Liu
  6. A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
    ICML 2024 ·
    Agustinus Kristiadi
    ,
    Felix Strieth-Kalthoff
    ,
    Marta Skreta
    , Pascal Poupart,
    Alán Aspuru-Guzik
    ,
    Geoff Pleiss
  7. Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
    AAAI 2024 ·
    Mohsin Hasan
    ,
    Guojun Zhang
    ,
    Kaiyang Guo
    ,
    Xi Chen
    , Pascal Poupart
  8. Confidence Aware Inverse Constrained Reinforcement Learning
    ICML 2024 ·
    Sriram Ganapathi Subramanian
    ,
    Guiliang Liu
    ,
    Mohammed Elmahgiubi
    ,
    Kasra Rezaee
    , Pascal Poupart
  9. Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
    AISTATS 2024 ·
    Ahmad Rashid
    ,
    Serena Hacker
    ,
    Guojun Zhang
    ,
    Agustinus Kristiadi
    , Pascal Poupart
  10. Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
    NeurIPS 2024 ·
    Yanting Miao
    ,
    William Loh
    ,
    Suraj Kothawade
    , Pascal Poupart,
    Abdullah Rashwan
    ,
    Yeqing Li