Publication

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

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

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

Graph Chatbot

Chattez avec Graph Search

White adipose tissue distribution and amount are associated with increased white matter connectivity

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Topics in statistical physics of high-dimensional machine learning

Neurobiological and metabolic basis of motivation and effort-based decision-making - A human 1H-MRS, fMRI and machine learning study

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms

Towards practical reinforcement learning for tokamak magnetic control

Partial discharge localization in power transformer tanks using machine learning methods

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

White adipose tissue distribution and amount are associated with increased white matter connectivity

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Topics in statistical physics of high-dimensional machine learning

Neurobiological and metabolic basis of motivation and effort-based decision-making - A human 1H-MRS, fMRI and machine learning study

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms

Towards practical reinforcement learning for tokamak magnetic control

Partial discharge localization in power transformer tanks using machine learning methods

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control