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Fast adaptation to rule switching using neuronal surprise

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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

Fast adaptation to rule switching using neuronal surprise

Graph Chatbot

Chattez avec Graph Search

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Unveiling the complexity of learning and decision-making

Driving and suppressing the human language network using large language models

Subcortical correlates of consciousness with human single neuron recordings

Investigating neural resource allocation in the sensorimotor control of extra limbs

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Topics in statistical physics of high-dimensional machine learning

Unveiling the complexity of learning and decision-making

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Driving and suppressing the human language network using large language models

Subcortical correlates of consciousness with human single neuron recordings

Investigating neural resource allocation in the sensorimotor control of extra limbs

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Topics in statistical physics of high-dimensional machine learning