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Controlling motion at the nanoscale with light

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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

Controlling motion at the nanoscale with light

Graph Chatbot

Chattez avec Graph Search

Understanding generalization and robustness in modern deep learning

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Digital Twins of Stone Masonry Buildings for Damage Assessment

Robust NAS under adversarial training: benchmark, theory, and beyond

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

Incorporating Projective Geometry into Deep Learning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

FENNECS: a novel particle-in-cell code for simulating the formation of magnetized non-neutral plasmas trapped by electrodes of complex geometries

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Understanding generalization and robustness in modern deep learning

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

Digital Twins of Stone Masonry Buildings for Damage Assessment

Robust NAS under adversarial training: benchmark, theory, and beyond

Incorporating Projective Geometry into Deep Learning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

FENNECS: a novel particle-in-cell code for simulating the formation of magnetized non-neutral plasmas trapped by electrodes of complex geometries

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Advancing Self-Supervised Deep Learning for 3D Scene Understanding