Шун-ичи Амари

1. Natural Gradient Works Efficiently in Learning
   1998/02/01 by Shun-ichi Amari, Шун-ичи Амари · 130 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Blind Source Separation Techniques #Neural Networks and Applications #Fractal and DNA sequence analysis
2. Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements
   1972/11/01 by S.-I. Amari, Шун-ичи Амари · 52 citations
   Computer Science · #Neural Networks and Applications #Fuzzy Logic and Control Systems
3. Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
   2018/10/18 by Jean Feydy, Thibault Séjourné, Feydy, Jean +9 · 38 citations
   Physics and Astronomy · Computer Science · #Statistical Mechanics and Entropy #Adversarial Robustness in Machine Learning #Computational Drug Discovery Methods
4. Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
   2018/06/04 by Ryo Karakida, Karakida, Ryo, Shotaro Akaho +3 · 12 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) #Machine Learning and ELM #Neural Networks and Applications #Statistical Mechanics and Entropy
5. Fisher Information and Natural Gradient Learning of Random Deep Networks
   2018/08/22 by Шун-ичи Амари, Ryo Karakida, Amari, Shun-ichi +3 · 13 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Sparse and Compressive Sensing Techniques
6. Pathological spectra of the Fisher information metric and its variants in deep neural networks
   2019/10/14 by Ryo Karakida, Shotaro Akaho, Karakida, Ryo +3 · 7 citations
   Physics and Astronomy · Computer Science · #Statistical Mechanics and Entropy #Gaussian Processes and Bayesian Inference #stochastic dynamics and bifurcation
7. The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks
   2019/06/07 by Ryo Karakida, Shotaro Akaho, Karakida, Ryo +3 · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #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) #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
8. When Does Preconditioning Help or Hurt Generalization?
   2020/06/18 by Шун-ичи Амари, Amari, Shun-ichi, Jimmy Ba +13 · 4 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
9. Wasserstein Statistics in One-dimensional Location-Scale Model
   2020/07/21 by Шун-ичи Амари, Takeru Matsuda, Amari, Shun-ichi +1 · 3 citations
   Mathematics · #Morphological variations and asymmetry #Geometric Analysis and Curvature Flows #Point processes and geometric inequalities