Adaptive Online Replanning with Diffusion Models
- Siyuan Zhou
- Yilun Du
- et al.
- 2023
- NeurIPS 2023
Publications
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- Zuobai Zhang
- Minghao Xu
- et al.
- 2023
- NeurIPS 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- Sheng-yen Cho
- Pin-Yu Chen
- et al.
- 2023
- NeurIPS 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
- Chen Chen
- Yuchen Hu
- et al.
- 2023
- NeurIPS 2023
Energy Transformer
- Benjamin Hoover
- Yuchen Liang
- et al.
- 2023
- NeurIPS 2023
Improved Self-supervised Molecular Representation Learning using Persistent Homology
- Yuankai Luo
- Lei Shi
- et al.
- 2023
- NeurIPS 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- Zhang-wei Hong
- Aviral Kumar
- et al.
- 2023
- NeurIPS 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
- Sivan Doveh
- Assaf Arbelle
- et al.
- 2023
- NeurIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
- Tsun-hsuan Wang
- Juntian Zheng
- et al.
- 2023
- NeurIPS 2023