Publications related to On the capacity of multisource non-coherent network coding

Notes on Los Angeles

Jean-Louis Cohen was a historian and curator of architecture who inspired and impacted the work of many. His unexpected passing this summer was a loss to the entire expanded field of architecture. A pioneer of transnational and transmedial histories of arc ...

2023

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

Enrico Amico, Antonella Romano, Emahnuel Troisi Lopez

Human voluntary movement stems from the coordinated activations in space and time of many musculoskeletal segments. However, the current methodological approaches to study human movement are still limited to the evaluation of the synergies among a few body ...

WILEY2022

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

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

Signalized intersections are a fundamental part of urban networks. Their understanding is crucial to identify congestion patterns, queues, delays, and safety issues in local and network level. In this work, we analyze multimodal vehicle trajectories and pr ...

2022

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

Vassily Hatzimanikatis, Homa Mohammadi Peyhani, Anastasia Sveshnikova

Supplementary datasets accompanying the manuscript "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds" published in the Metabolic Engineering Journal (https://doi.org/10.1016/j.ymben.2022.03.013). In line w ...

EPFL Infoscience2022

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

Social Learning Under Inferential Attacks

Ali H. Sayed, Stefan Vlaski, Virginia Bordignon, Konstantinos Ntemos

A common assumption in the social learning literature is that agents exchange information in an unselfish manner. In this work, we consider the scenario where a subset of agents aims at driving the network beliefs to the wrong hypothesis. The adversaries a ...

IEEE2021

Local Tomography of Large Networks Under the Low-Observability Regime

Ali H. Sayed, Augusto José Rabelo Almeida Santos

This article studies the problem of reconstructing the topology of a network of interacting agents via observations of the state-evolution of the agents. We focus on the large-scale network setting with the additional constraint of partial observations, wh ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Highlighting action and environmental component interactions using a network theory approach

Paolo Perona

In Environmental Impact Assessment (EIA), the either positive or negative impacts that specific N project actions might generate on a number M of environmental components are typically summarized in the form of Interaction Matrix (IM). This is an NxM tabul ...

2020

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

Kirsten Emilie Moselund, Siegfried Karg

Oscillatory neural networks based on insulator to metal transition of VO2 switches are implemented for image recognition. The VO2 oscillators are fabricated on silicon in a CMOS compatible process.A fullyconnected network of coupled oscillators is investig ...

2020

Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks

Barbara Bravi

We consider the general problem of describing the dynamics of subnetworks of larger biochemical reaction networks, e.g., protein interaction networks involving complex formation and dissociation reactions. We propose the use of model reduction strategies t ...

AMER INST PHYSICS2020

On the capacity of multisource non-coherent network coding

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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

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

Social Learning Under Inferential Attacks

Local Tomography of Large Networks Under the Low-Observability Regime

Highlighting action and environmental component interactions using a network theory approach

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks

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

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

Highlighting action and environmental component interactions using a network theory approach

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

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

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

Notes on Los Angeles

Social Learning Under Inferential Attacks

Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks

Local Tomography of Large Networks Under the Low-Observability Regime