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Analysis of MLP Based Hierarchical Phoneme Posterior Probability Estimator

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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

Analysis of MLP Based Hierarchical Phoneme Posterior Probability Estimator

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

An exact mapping from ReLU networks to spiking neural networks

Benign Overfitting in Deep Neural Networks under Lazy Training

Biologically plausible unsupervised learning in shallow and deep neural networks

Learning multivariate new physics

Mixed-Precision Deep Learning Based on Computational Memory

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

Disentangling feature and lazy training in deep neural networks

Biologically plausible deep learning – but how far can we go with shallow networks?

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

Biologically plausible unsupervised learning in shallow and deep neural networks

Benign Overfitting in Deep Neural Networks under Lazy Training

Biologically plausible deep learning – but how far can we go with shallow networks?

Deep Learning Theory Through the Lens of Diagonal Linear Networks

An exact mapping from ReLU networks to spiking neural networks

Mixed-Precision Deep Learning Based on Computational Memory

Learning multivariate new physics

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

Disentangling feature and lazy training in deep neural networks

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation