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The prediction of speed and incline in outdoor running in humans using accelerometry

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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

The prediction of speed and incline in outdoor running in humans using accelerometry

Graph Chatbot

Chattez avec Graph Search

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

Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

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

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Gibbs sampling the posterior of neural networks

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

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

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

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

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Gibbs sampling the posterior of neural networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model