Tianxiang Gao

1. Degrees of Freedom in Deep Neural Networks
   2016/03/30 by Tianxiang Gao, Vladimir Jojic, Gao, Tianxiang +1 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Model Reduction and Neural Networks
2. Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
   2023/10/16 by Tianxiang Gao, Gao, Tianxiang, Xiaokai Huo +5 · 4 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
3. On the optimization and generalization of overparameterized implicit neural networks
   2022/09/30 by Tianxiang Gao, Hongyang Gao, Gao, Tianxiang +1 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
4. A global convergence theory for deep ReLU implicit networks via over-parameterization
   2021/10/11 by Tianxiang Gao, Gao, Tianxiang, Hailiang Liu +7 · 1 citation
   Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and ELM #Domain Adaptation and Few-Shot Learning
5. Universal Catalyst Design Framework for Electrochemical Hydrogen Peroxide Synthesis Facilitated by Local Atomic Environment Descriptors
   2025/01/22 by Zhijian Liu, Liu, Zhijian, Yan Liu +22 · 1 citation
   Energy · Materials Science · Engineering · #Electrocatalysts for Energy Conversion #Machine Learning in Materials Science #Fuel Cells and Related Materials