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Graph Representation Learning in Computational Pathology

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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

Graph Representation Learning in Computational Pathology

Graph Chatbot

Chattez avec Graph Search

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

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

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

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

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

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

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE