Publications associées à Design tools for large 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

Design tools for large networks

Graph Chatbot

Chattez avec Graph Search

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

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

Local Tomography of Large Networks Under the Low-Observability Regime

Global robustness versus local vulnerabilities in complex synchronous networks

Building relationships: Using embedded plug load sensors for occupant network inference

The morning commute in urban areas with heterogeneous trip lengths

Adding flexibility to multi-tenant networks

Alignment and Assembly

From recommender systems to spatio-temporal dynamics with network science

The morning commute in urban areas with heterogeneous trip lengths

Global robustness versus local vulnerabilities in complex synchronous networks

Local Tomography of Large Networks Under the Low-Observability Regime

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

From recommender systems to spatio-temporal dynamics with network science

Alignment and Assembly

The morning commute in urban areas with heterogeneous trip lengths

Adding flexibility to multi-tenant networks

Building relationships: Using embedded plug load sensors for occupant network inference

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

The morning commute in urban areas with heterogeneous trip lengths