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Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

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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

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Graph Chatbot

Chattez avec Graph Search

Incorporating Projective Geometry into Deep Learning

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Understanding generalization and robustness in modern deep learning

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Residual-based attention in physics-informed neural networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Understanding generalization and robustness in modern deep learning

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Incorporating Projective Geometry into Deep Learning

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Residual-based attention in physics-informed neural networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning