Title |
|---|
 Diffusion Models as Constrained Samplers for Optimization with Unknown ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Pre-Training and Fine-Tuning Generative Flow NetworksInternational Conference on Learning Representations (ICLR), 2023 |
 Diffusion Generative Flow Samplers: Improving learning signals through
partial trajectory optimizationInternational Conference on Learning Representations (ICLR), 2023 |
 Importance Weighted Expectation-Maximization for Protein Sequence DesignInternational Conference on Machine Learning (ICML), 2023 Zhenqiao Song Lei Li |
 Latent State Marginalization as a Low-cost Approach for Improving
ExplorationInternational Conference on Learning Representations (ICLR), 2022 |
