Publications associées à On the capacity of multisource non-coherent network coding

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Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Wulfram Gerstner, Clément Hongler, Johanni Michael Brea, Francesco Spadaro, Berfin Simsek, Arthur Jacot

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

2021

On the capacity of multisource non-coherent network coding

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Notes on Los Angeles

The kinectome: A comprehensive kinematic map of human motion in health and disease

An automatized signal timing detection at signalized intersections with detailed vehicle trajectory data

Supplementary datasets for "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds"

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Social Learning Under Inferential Attacks

Local Tomography of Large Networks Under the Low-Observability Regime

Highlighting action and environmental component interactions using a network theory approach

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks

The kinectome: A comprehensive kinematic map of human motion in health and disease

Supplementary datasets for "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds"

Highlighting action and environmental component interactions using a network theory approach

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

Local Tomography of Large Networks Under the Low-Observability Regime

Notes on Los Angeles

Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks

Social Learning Under Inferential Attacks

An automatized signal timing detection at signalized intersections with detailed vehicle trajectory data

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances