Publications associées à Multilayer description of large scale communication networks

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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

Multilayer description of large scale communication networks

Graph Chatbot

Chattez avec Graph Search

True scale-free networks hidden by finite size effects

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

Global robustness versus local vulnerabilities in complex synchronous networks

Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Privacy and Dynamics of Social Networks

Feedback Perimeter Control for Multi-region Large-scale Congested Networks

Locating the Source of Diffusion in Large-Scale Networks

Privacy and Dynamics of Social Networks (PhD Thesis: pre-print)

Signaling and Reciprocity

True scale-free networks hidden by finite size effects

Privacy and Dynamics of Social Networks

Global robustness versus local vulnerabilities in complex synchronous networks

Signaling and Reciprocity

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

Feedback Perimeter Control for Multi-region Large-scale Congested Networks

Locating the Source of Diffusion in Large-Scale Networks

Privacy and Dynamics of Social Networks (PhD Thesis: pre-print)

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments