Haoxuan Chen
- Humanity's Last Exam
2025/01/24 by Long Phan, Phan, Long, Alice Gatti +2240 · 9 voices · 105 citations
#cs.LG #cs.AI #cs.CL
- Physics-Informed Neural Operator for Learning Partial Differential Equations
2021/11/06 by Zongyi Li, Li, Zongyi, Hongkai Zheng +13 · 77 citations
Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics #Numerical Analysis (math.NA)
- Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
2024/05/24 by Haoxuan Chen, Chen, Haoxuan, Yinuo Ren +5 · 1 voice · 10 citations
#cs.LG #cs.DC #math.NA #stat.ML
- How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
2024/10/04 by Yinuo Ren, Ren, Yinuo, Haoxuan Chen +5 · 16 citations
Mathematics · Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA)
- Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
2025/02/01 by Yinuo Ren, Ren, Yinuo, Haoxuan Chen +14 · 1 voice · 17 citations
Mathematics · Engineering · #Numerical methods for differential equations #Advanced Numerical Methods in Computational Mathematics #Electromagnetic Simulation and Numerical Methods
- Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
2021/10/13 by Yiping Lu, Lu, Yiping, Haoxuan Chen +7 · 5 citations
Engineering · Physics and Astronomy · #Advanced Numerical Methods in Computational Mathematics #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods in engineering #Statistics Theory (math.ST)
- Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
2025/06/04 by Haoxuan Chen, Yinuo Ren, Chen, Haoxuan +7 · 6 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #electronic engineering #information engineering