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The quantitative single-neuron modeling competition

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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

The quantitative single-neuron modeling competition

Graph Chatbot

Chattez avec Graph Search

Investigating neural resource allocation in the sensorimotor control of extra limbs

Data and scripts for the RaFSIP scheme

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

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

Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala

Robust NAS under adversarial training: benchmark, theory, and beyond

Random matrix methods for high-dimensional machine learning models

Investigating neural resource allocation in the sensorimotor control of extra limbs

Data and scripts for the RaFSIP scheme

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

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

Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala

Robust NAS under adversarial training: benchmark, theory, and beyond

Random matrix methods for high-dimensional machine learning models