Publications associées à Locating the Source of Diffusion in Large-Scale 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

Locating the Source of Diffusion in Large-Scale Networks

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Chattez avec Graph Search

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Information Retrieval Under Network Uncertainty: Robust Internet Ranking

Two-layer adaptive signal control framework for large-scale networks combining efficient Max-Pressure and Perimeter Control

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

True scale-free networks hidden by finite size effects

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

The physics of higher-order interactions in complex systems

Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing

Spikyball Sampling: Exploring Large Networks via an Inhomogeneous Filtered Diffusion

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Information Retrieval Under Network Uncertainty: Robust Internet Ranking

Two-layer adaptive signal control framework for large-scale networks combining efficient Max-Pressure and Perimeter Control

The physics of higher-order interactions in complex systems

Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing

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

True scale-free networks hidden by finite size effects

Spikyball Sampling: Exploring Large Networks via an Inhomogeneous Filtered Diffusion

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