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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

Architecture cognitive

Graph Chatbot

Chattez avec Graph Search

Enabling Uncertainty Estimation in Iterative Neural Networks

Sparse autoregressive neural networks for classical spin systems

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Towards practical reinforcement learning for tokamak magnetic control

EdgeAI-Aware Design of In-Memory Computing Architectures

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Inter-Task Transfer of Prism Adaptation through Motor Imagery

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series

From event-based surprise to lifelong learning.A journey in the timescales of adaptation

Enabling Uncertainty Estimation in Iterative Neural Networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Towards practical reinforcement learning for tokamak magnetic control

EdgeAI-Aware Design of In-Memory Computing Architectures

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Sparse autoregressive neural networks for classical spin systems

Inter-Task Transfer of Prism Adaptation through Motor Imagery

Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series

From event-based surprise to lifelong learning.A journey in the timescales of adaptation