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Towards super resolution in the compressed domain of learning-based image codecs

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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

Towards super resolution in the compressed domain of learning-based image codecs

Graph Chatbot

Chattez avec Graph Search

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

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

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Temporal Conditional Coding for Dynamic Point Cloud Geometry Compression

Optimizing Dynamic Aperture Studies with Active Learning

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

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

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

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Temporal Conditional Coding for Dynamic Point Cloud Geometry Compression

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Optimizing Dynamic Aperture Studies with Active Learning