Pascal Poupart

Venues

Frequent coauthors

Papers

1. Learning to Negotiate via Voluntary Commitment
   AISTATS 2025 ·

   Shuhui Zhu

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2. Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
   ICML 2025 ·

   Jihwan Jeong

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3. Target Attribute Diffusion Models
   ICCV 2025 ·

   William Loh

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4. Towards Cost-Effective Reward Guided Text Generation
   ICML 2025 ·

   Ahmad Rashid

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5. Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning
   ICLR 2025 ·

   Bo Yue

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6. A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
   ICML 2024 ·

   Agustinus Kristiadi

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7. Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
   AAAI 2024 ·

   Mohsin Hasan

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8. Confidence Aware Inverse Constrained Reinforcement Learning
   ICML 2024 ·

   Sriram Ganapathi Subramanian

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9. Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
   AISTATS 2024 ·

   Ahmad Rashid

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10. Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
    NeurIPS 2024 ·

    Yanting Miao

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