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Constructive Training Methods for Feedforward Neural Networks with Binary Weights

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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

Constructive Training Methods for Feedforward Neural Networks with Binary Weights

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

An exact mapping from ReLU networks to spiking neural networks

Expectation consistency for calibration of neural networks

Privacy-preserving federated neural network training and inference

Deep Learning Generalization with Limited and Noisy Labels

Benign Overfitting in Deep Neural Networks under Lazy Training

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

The influence of splitter blades and meridional profiles on the performance of small-scale turbopumps for ORC applications; analysis, neural network modeling and optimization

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

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

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

Expectation consistency for calibration of neural networks

Privacy-preserving federated neural network training and inference

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

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

The influence of splitter blades and meridional profiles on the performance of small-scale turbopumps for ORC applications; analysis, neural network modeling and optimization