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06/02/2023
MLP-Mixer as a Wide and Sparse MLP
Multi-layer perceptron (MLP) is a fundamental component of deep learning...
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12/09/2022
Attention in a family of Boltzmann machines emerging from modern Hopfield networks
Hopfield networks and Boltzmann machines (BMs) are fundamental energy-ba...
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10/06/2022
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
Gradient regularization (GR) is a method that penalizes the gradient nor...
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02/10/2022
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel
A biological neural network in the cortex forms a neural field. Neurons ...
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12/03/2021
Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting
Sequential training from task to task is becoming one of the major objec...
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10/29/2020
Self-paced Data Augmentation for Training Neural Networks
Data augmentation is widely used for machine learning; however, an effec...
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10/02/2020
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
Natural Gradient Descent (NGD) helps to accelerate the convergence of gr...
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06/14/2020
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry
The Fisher information matrix (FIM) is fundamental for understanding the...
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10/14/2019
Pathological spectra of the Fisher information metric and its variants in deep neural networks
The Fisher information matrix (FIM) plays an essential role in statistic...
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06/07/2019
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks
Normalization methods play an important role in enhancing the performanc...
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08/22/2018
Fisher Information and Natural Gradient Learning of Random Deep Networks
A deep neural network is a hierarchical nonlinear model transforming inp...
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08/22/2018
Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces
Statistical neurodynamics studies macroscopic behaviors of randomly conn...
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06/04/2018
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
This study analyzes the Fisher information matrix (FIM) by applying mean...
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12/12/2017
