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On the relation between landscape beauty and land cover: A case study in the U.K. at Sentinel-2 resolution with interpretable AI

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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 relation between landscape beauty and land cover: A case study in the U.K. at Sentinel-2 resolution with interpretable AI

Graph Chatbot

Chattez avec Graph Search

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Network time series forecasting in photovoltaics power production

Understanding generalization and robustness in modern deep learning

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

Mapping drivers of tropical forest loss with satellite image time series and machine learning

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

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

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Network time series forecasting in photovoltaics power production

Understanding generalization and robustness in modern deep learning

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

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

Mapping drivers of tropical forest loss with satellite image time series and machine learning

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

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control