Publications related to Design tools for large networks

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

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

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

Global robustness versus local vulnerabilities in complex synchronous networks

Philippe René Joseph Jacquod

In complex network-coupled dynamical systems, two questions of central importance are how to identify the most vulnerable components and how to devise a network making the overall system more robust to external perturbations. To address these two questions ...

2019

Building relationships: Using embedded plug load sensors for occupant network inference

Andrew James Sonta

Understanding the underlying structure of building occupant dynamics is crucial to improving the effectiveness and energy efficiency of commercial buildings, as occupants fundamentally drive building design and operation. In current practice, we largely ac ...

2019

The morning commute in urban areas with heterogeneous trip lengths

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

This paper investigates the equilibrium properties of the morning commute problem at the network level with heterogeneous trip lengths. Congestion is modeled with a Macroscopic Fundamental Diagram relating the space-mean speed of a network to the vehicular ...

2018

Adding flexibility to multi-tenant networks

Georgios Ioannidis

Cloud computing has been experiencing sharp development over the last years, leading to an increased demand for application migration to the cloud. Cloud providers, in an effort to attract more customers and earn their confidence, offer to tenants the illu ...

EPFL2018

Alignment and Assembly

Lyudmila Yartseva

Over recent years, many large network datasets become available, giving rise to novel and valuable applications of data mining and machine learning techniques. These datasets include social networks, the structure of the Internet, and protein-interaction n ...

EPFL2017

From recommender systems to spatio-temporal dynamics with network science

Kirell Maël Benzi

Networks are data structures that are fundamental for capturing and analyzing complex interactions between objects. While they have been used for decades to solve problems in virtually all scientific fields, their usage for data analysis in real-world prac ...

EPFL2017

The morning commute in urban areas with heterogeneous trip lengths

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

This paper investigates the equilibrium properties of the morning commute problem at the network level with heterogeneous trip lengths. Congestion is modeled with a Macroscopic Fundamental Diagram relating the space-mean speed of a network to the vehicular ...

2017

Design tools for large networks

Graph Chatbot

Chat with Graph Search

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

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

Local Tomography of Large Networks Under the Low-Observability Regime

Global robustness versus local vulnerabilities in complex synchronous networks

Building relationships: Using embedded plug load sensors for occupant network inference

The morning commute in urban areas with heterogeneous trip lengths

Adding flexibility to multi-tenant networks

Alignment and Assembly

From recommender systems to spatio-temporal dynamics with network science

The morning commute in urban areas with heterogeneous trip lengths

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

Local Tomography of Large Networks Under the Low-Observability Regime

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

Building relationships: Using embedded plug load sensors for occupant network inference

Global robustness versus local vulnerabilities in complex synchronous networks

Adding flexibility to multi-tenant networks

Alignment and Assembly

From recommender systems to spatio-temporal dynamics with network science

The morning commute in urban areas with heterogeneous trip lengths

The morning commute in urban areas with heterogeneous trip lengths