Nguyen, Phan-Minh

1. State Evolution for Approximate Message Passing with Non-Separable Functions
   2017/08/13 by Berthier, Raphael, Montanari, Andrea, Nguyen, Phan-Minh · 5 citations
   #FOS: Computer and information sciences #Information Theory (cs.IT)
2. A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks
   2020/01/30 by Phan-Minh Nguyen, Nguyen, Phan-Minh, Huy Tuan Pham +1 · 5 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Model Reduction and Neural Networks #Probability (math.PR) #Statistical Mechanics (cond-mat.stat-mech) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
3. Global Convergence of Three-layer Neural Networks in the Mean Field\n Regime
   2021/05/11 by Huy Tuan Pham, Phan-Minh Nguyen, Pham, Huy Tuan +1 · 2 citations
   Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks #Statistical Mechanics (cond-mat.stat-mech) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
4. Mean Field Limit of the Learning Dynamics of Multilayer Neural Networks
   2019/02/07 by Phan-Minh Nguyen, Nguyen, Phan-Minh · 2 citations
   Computer Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistical Mechanics (cond-mat.stat-mech) #Stochastic Gradient Optimization Techniques