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Related publications (111)

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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

Cognitive architecture

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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

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

The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Enabling Uncertainty Estimation in Iterative Neural Networks

Sparse autoregressive neural networks for classical spin systems

Towards practical reinforcement learning for tokamak magnetic control

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

The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems