Publications associées à Computational Aspects of Distributed Optimization in Model Predictive Control

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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

Computational Aspects of Distributed Optimization in Model Predictive Control

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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

D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

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

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

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

Consensus Control for Decentralized Deep Learning

Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

Local Vulnerabilities and Global Robustness of Coupled Dynamical Systems on Complex Networks

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

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

Local Vulnerabilities and Global Robustness of Coupled Dynamical Systems on Complex Networks

Notes on Los Angeles

Consensus Control for Decentralized Deep Learning

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

D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

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