Publication

Local Learning Algorithm For Optical Neural Networks

Related publications (34)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Local Learning Algorithm For Optical Neural Networks

Graph Chatbot

Chat with Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Understanding generalization and robustness in modern deep learning

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

Rank-Adaptive Time Integration Of Tree Tensor Networks

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Momentum-Based Policy Gradient with Second-Order Information

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Masked Training of Neural Networks with Partial Gradients

Metrizing Fairness

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Metrizing Fairness

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Masked Training of Neural Networks with Partial Gradients

Understanding generalization and robustness in modern deep learning

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

Rank-Adaptive Time Integration Of Tree Tensor Networks

Momentum-Based Policy Gradient with Second-Order Information

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks