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

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

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

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

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

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

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

Notes on Los Angeles

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

Consensus Control for Decentralized Deep Learning