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Relative stability toward diffeomorphisms indicates performance in deep nets

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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

Relative stability toward diffeomorphisms indicates performance in deep nets

Graph Chatbot

Chattez avec Graph Search

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Data-driven statistical optimization of a groundwater monitoring network

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Aggregating Spatial and Photometric Context for Photometric Stereo

Random matrix methods for high-dimensional machine learning models

Towards Trustworthy Deep Learning for Image Reconstruction

The multimodality cell segmentation challenge: toward universal solutions

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

Improving Object Detection under Domain Shifts

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Data-driven statistical optimization of a groundwater monitoring network

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Aggregating Spatial and Photometric Context for Photometric Stereo

Random matrix methods for high-dimensional machine learning models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Towards Trustworthy Deep Learning for Image Reconstruction

Improving Object Detection under Domain Shifts

The multimodality cell segmentation challenge: toward universal solutions

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA