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"On-the-spot Training" for Terrain Classification in Autonomous Air-Ground Collaborative Teams

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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

"On-the-spot Training" for Terrain Classification in Autonomous Air-Ground Collaborative Teams

Graph Chatbot

Chattez avec Graph Search

Robot Learning using Tensor Networks

A Biohybrid Superorganism - Investigating honeybees' collective behaviors via interactive robotics

Small-scale robotic devices for medical interventions in the brain

Soft Robotics: A Route to Equality, Diversity, and Inclusivity in Robotics

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

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Robust machine learning for neuroscientific inference

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

Random matrix methods for high-dimensional machine learning models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Robot Learning using Tensor Networks

Small-scale robotic devices for medical interventions in the brain

Soft Robotics: A Route to Equality, Diversity, and Inclusivity in Robotics

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

A Biohybrid Superorganism - Investigating honeybees' collective behaviors via interactive robotics

Random matrix methods for high-dimensional machine learning models

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

Robust machine learning for neuroscientific inference