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Reaction Enthalpies Using the Neural-Network-Based X1 Approach: The Important Choice of Input Descriptors

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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

Reaction Enthalpies Using the Neural-Network-Based X1 Approach: The Important Choice of Input Descriptors

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

An exact mapping from ReLU networks to spiking neural networks

Deep Learning Generalization with Limited and Noisy Labels

Benign Overfitting in Deep Neural Networks under Lazy Training

From Kernel Methods to Neural Networks: A Unifying Variational Formulation

Penalising the biases in norm regularisation enforces sparsity

A new variable shape parameter strategy for RBF approximation using neural networks

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Approximating Relu Networks By Single-Spike Computation

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

An exact mapping from ReLU networks to spiking neural networks

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Deep Learning Generalization with Limited and Noisy Labels

Penalising the biases in norm regularisation enforces sparsity

Benign Overfitting in Deep Neural Networks under Lazy Training

From Kernel Methods to Neural Networks: A Unifying Variational Formulation

A new variable shape parameter strategy for RBF approximation using neural networks

Approximating Relu Networks By Single-Spike Computation