Information geometry and Wasserstein geometry are two main structures
in...
A biological neural network in the cortex forms a neural field. Neurons ...
Wasserstein geometry and information geometry are two important structur...
While second order optimizers such as natural gradient descent (NGD) oft...
Wasserstein geometry and information geometry are two important structur...
It is known that any target function is realized in a sufficiently small...
The Fisher information matrix (FIM) plays an essential role in statistic...
Normalization methods play an important role in enhancing the performanc...
Comparing probability distributions is a fundamental problem in data
sci...
A deep neural network is a hierarchical nonlinear model transforming inp...
Statistical neurodynamics studies macroscopic behaviors of randomly conn...
This study analyzes the Fisher information matrix (FIM) by applying
mean...
We propose a generative model for robust tensor factorization in the pre...