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Publications associées (170)

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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

Perceptron multicouche

Graph Chatbot

Chattez avec Graph Search

Explainable Face Verification via Feature-Guided Gradient Backpropagation

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Robust NAS under adversarial training: benchmark, theory, and beyond

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

A new variable shape parameter strategy for RBF approximation using neural networks

The inductive bias of deep learning: Connecting weights and functions

Benign Overfitting in Deep Neural Networks under Lazy Training

A Neural-Network-Based Convex Regularizer for Inverse Problems

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A Neural-Network-Based Convex Regularizer for Inverse Problems

The inductive bias of deep learning: Connecting weights and functions

Benign Overfitting in Deep Neural Networks under Lazy Training

A new variable shape parameter strategy for RBF approximation using neural networks

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Robust NAS under adversarial training: benchmark, theory, and beyond