Concept

Apprentissage par renforcement

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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

Apprentissage par renforcement

Graph Chatbot

Chattez avec Graph Search

Predicting the long-term collective behaviour of fish pairs with deep learning

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

Graph Exploration for Effective Multiagent Q-Learning

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Incorporating Projective Geometry into Deep Learning

Residual-based attention in physics-informed neural networks

Topics in statistical physics of high-dimensional machine learning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Topics in statistical physics of high-dimensional machine learning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Predicting the long-term collective behaviour of fish pairs with deep learning

Graph Exploration for Effective Multiagent Q-Learning

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

Incorporating Projective Geometry into Deep Learning

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Residual-based attention in physics-informed neural networks