Sho Yaida

1. The Principles of Deep Learning Theory
   2021/06/18 by Daniel A. Roberts, Sho Yaida, Boris Hanin · 11 voices · 13 citations
   Computer Science · Physics and Astronomy · #Neural Networks and Applications #Anomaly Detection Techniques and Applications #Statistical Mechanics and Entropy
2. Fluctuation-dissipation relations for stochastic gradient descent
   2018/09/28 by Sho Yaida, Yaida, Sho · 5 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques
3. Effective Theory of Transformers at Initialization
   2023/04/04 by Emily Dinan, Sho Yaida, Dinan, Emily +3 · 1 citation
   Computer Science · Physics and Astronomy · #Neural Networks and Applications #Model Reduction and Neural Networks