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Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

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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

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

Machine Learning for Modeling Stock Returns

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Sparse autoregressive neural networks for classical spin systems

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Deep Learning Generalization with Limited and Noisy Labels

Benign Overfitting in Deep Neural Networks under Lazy Training

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

Machine Learning for Modeling Stock Returns

ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees

Deep Learning Generalization with Limited and Noisy Labels

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

Sparse autoregressive neural networks for classical spin systems

Benign Overfitting in Deep Neural Networks under Lazy Training

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