Publications associées à Stable Routing And Unique-Max Coloring On Trees

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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

Stable Routing And Unique-Max Coloring On Trees

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A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks

IIBLAST: Speeding Up Commercial FPGA Routing by Decoupling and Mitigating the Intra-CLB Bottleneck

Global, Passive Detection of Connection Tampering

Optimal routing and design of CO2 based district anergy networks

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"

Shrinking FPGA Static Power via Machine Learning-Based Power Gating and Enhanced Routing

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

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

A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks

IIBLAST: Speeding Up Commercial FPGA Routing by Decoupling and Mitigating the Intra-CLB Bottleneck

Global, Passive Detection of Connection Tampering

Optimal routing and design of CO2 based district anergy networks

Shrinking FPGA Static Power via Machine Learning-Based Power Gating and Enhanced Routing

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"

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

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

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