Publication

Classification using localized mixtures of experts

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

Classification using localized mixtures of experts

Graph Chatbot

Chat with Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Exploring neural networks and their potential for species distribution modeling

Deep Learning Generalization with Limited and Noisy Labels

Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach

Sharp asymptotics on the compression of two-layer neural networks

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification

Model Fusion via Optimal Transport

Crowding and the Architecture of the Visual System

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach

Deep Learning Generalization with Limited and Noisy Labels

Sharp asymptotics on the compression of two-layer neural networks

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Model Fusion via Optimal Transport

Crowding and the Architecture of the Visual System

Exploring neural networks and their potential for species distribution modeling

Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification