Publications associées à Is the Network Turing-Complete?

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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

Is the Network Turing-Complete?

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Global, Passive Detection of Connection Tampering

Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment

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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

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

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HolA: Holistic and Autonomous Attestation for IoT Networks

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

Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment

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

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

Global, Passive Detection of Connection Tampering

Notes on Los Angeles

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

Information Retrieval Under Network Uncertainty: Robust Internet Ranking

Efficient Max-Pressure Traffic Management for Large-Scale Congested Urban Networks

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

HolA: Holistic and Autonomous Attestation for IoT Networks