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Optimizing Dynamic Aperture Studies with Active Learning

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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

Optimizing Dynamic Aperture Studies with Active Learning

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Chattez avec Graph Search

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

Bridging Monte Carlo worlds: a new framework for accelerator simulations applied on shielding and machine protection studies

Energy-Efficient Particle Accelerators for Research

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Hosing of a Long Relativistic Particle Bunch in Plasma

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

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

Bridging Monte Carlo worlds: a new framework for accelerator simulations applied on shielding and machine protection studies

Energy-Efficient Particle Accelerators for Research

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Hosing of a Long Relativistic Particle Bunch in Plasma

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