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EMG Pattern Recognition Using Decomposition Techniques for Constructing Multiclass Classifiers

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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

EMG Pattern Recognition Using Decomposition Techniques for Constructing Multiclass Classifiers

Graph Chatbot

Chattez avec Graph Search

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Topics in statistical physics of high-dimensional machine learning

Boosting likelihood learning with event reweighting

Towards Trustworthy Deep Learning for Image Reconstruction

Test-time adaptation for 6D pose tracking

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

Understanding generalization and robustness in modern deep learning

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Topics in statistical physics of high-dimensional machine learning

Towards Trustworthy Deep Learning for Image Reconstruction

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Understanding generalization and robustness in modern deep learning

Test-time adaptation for 6D pose tracking

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

Boosting likelihood learning with event reweighting