Zehao Dou

According to our database, Zehao Dou authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Diffusion Mechanism in Residual Neural Network: Theory and Applications.

Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Think Twice Before You Act: Improving Inverse Problem Solving With MCMC.

Yaxuan Zhu, Zehao Dou, Haoxin Zheng, Yasi Zhang, Ying Nian Wu, Ruiqi Gao

CoRR, 2024

From optimal score matching to optimal sampling.

Zehao Dou, Subhodh Kotekal, Zhehao Xu, Harrison H. Zhou

CoRR, 2024

Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data.

Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen

CoRR, 2024

Provable Statistical Rates for Consistency Diffusion Models.

Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang

CoRR, 2024

Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling.

Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective.

Zehao Dou, Yang Song

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning Narrow One-Hidden-Layer ReLU Networks.

Sitan Chen, Zehao Dou, Surbhi Goel, Adam R. Klivans, Raghu Meka

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning.

Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang

CoRR, 2022

Gap-Dependent Bounds for Two-Player Markov Games.

Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization.

Zehao Dou, Yuanzhi Li

CoRR, 2021

Diff-ResNets for Few-shot Learning - an ODE Perspective.

Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi

CoRR, 2021

2020

When can Wasserstein GANs minimize Wasserstein Distance?

Yuanzhi Li, Zehao Dou

CoRR, 2020

2019

Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning.

Zehao Dou, Xiang Yan, Dongge Wang, Xiaotie Deng

CoRR, 2019

2018

Mathematical Analysis of Adversarial Attacks.

Zehao Dou, Stanley J. Osher, Bao Wang

CoRR, 2018

Hierarchical Attention: What Really Counts in Various NLP Tasks.

Zehao Dou, Zhihua Zhang

CoRR, 2018

Improving Word Embeddings for Antonym Detection Using Thesauri and SentiWordNet.

Zehao Dou, Wei Wei, Xiaojun Wan

Proceedings of the Natural Language Processing and Chinese Computing, 2018