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Human insula activation reflects risk prediction errors as well as risk

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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

Human insula activation reflects risk prediction errors as well as risk

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Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Thalamic contributions to psychosis susceptibility: Evidence from co-activation patterns accounting for intra-seed spatial variability (μCAPs)

Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort

Fast adaptation to rule switching using neuronal surprise

Partial discharge localization in power transformer tanks using machine learning methods

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

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

Climbing into their Skin to Understand Contextual Protein-Protein Associations and Localizations: Functional Investigations in Transgenic Live Model Organisms

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Thalamic contributions to psychosis susceptibility: Evidence from co-activation patterns accounting for intra-seed spatial variability (μCAPs)

Fast adaptation to rule switching using neuronal surprise

Partial discharge localization in power transformer tanks using machine learning methods

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

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

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort

Climbing into their Skin to Understand Contextual Protein-Protein Associations and Localizations: Functional Investigations in Transgenic Live Model Organisms