Repasky, Matthew
- Posterior sampling via Langevin dynamics based on generative priors
2024/10/02 by Purohit, Vishal, Repasky, Matthew, Lu, Jianfeng +3 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Neural Stein critics with staged L2-regularization
2022/07/07 by Matthew Repasky, Xiuyuan Cheng, Repasky, Matthew +3 · 1 citation
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Statistics Theory (math.ST)
- Deep graph kernel point processes
2023/06/20 by Zheng Dong, Dong, Zheng, Matthew Repasky +5 · 1 citation
Computer Science · Engineering · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)