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

Global robustness versus local vulnerabilities in complex synchronous networks

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

Signaling and Reciprocity

True scale-free networks hidden by finite size effects

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

Locating the Source of Diffusion in Large-Scale Networks

Privacy and Dynamics of Social Networks

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

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

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