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Motion Prediction Using Temporal Inception Module

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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

Motion Prediction Using Temporal Inception Module

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Chattez avec Graph Search

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

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

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

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Random matrix methods for high-dimensional machine learning models

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

Topics in statistical physics of high-dimensional machine learning

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

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

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

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Random matrix methods for high-dimensional machine learning models

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

Topics in statistical physics of high-dimensional machine learning

Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning