Publications related to Spectral coarse graining of complex networks

Teaching Not To

Two design studios were successively taught in two schools of architecture: one at the Harvard Graduate School of Design (GSD) and the other at the Swiss Federal Institute of Technology in Lausanne (EPFL) in Lausanne, Switzerland, based on "A Global Morato ...

Taylor & Francis Inc2024

The landscape of utopia: writings on everyday life, taste, democracy, and design

Lucia-Nieves Garcia de Jalon Oyarzun

This collection of essays, all authored and curated by Tim Waterman, foregrounds the entangled nature of utopia(nism), landscape (aka landship), design and imagination, where ‘everything is connected, everything is inseparable, everything can have differen ...

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

Information Retrieval Under Network Uncertainty: Robust Internet Ranking

Ralf Seifert, Anna Timonina-Farkas

Internet ranking algorithms play a crucial role in information technologies and numerical analysis due to their efficiency in high dimensions and wide range of possible applications, including scientometrics and systemic risk in finance (SinkRank, DebtRank ...

INFORMS2022

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

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

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

This work investigates the benefits of a two-layer adaptive signal control framework combining multi-region perimeter control (PC) with distributed Max Pressure (MP) control in selected network intersections. Motivated by MP’s questionable performance in o ...

2022

True scale-free networks hidden by finite size effects

Andrea Rinaldo, Samir Suweis, Amos Maritan

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free structure is generally viable. This has recently been questioned on the basis of statisti ...

NATL ACAD SCIENCES2021

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

The physics of higher-order interactions in complex systems

Enrico Amico, Benedetta Franceschiello

Network representations of complex systems are limited to pairwise interactions, but real-world systems often involve higher-order interactions. This Perspective looks at the new physics emerging from attempts to characterize these interactions. Complex ne ...

NATURE PORTFOLIO2021

Morphology and morphodynamics of braided rivers: an experimental investigation

Daniel Vito Papa

Braided rivers form some of the most fascinating fluvial patterns found on Earth. They are identifiable by their unique morphology of complex networks of intertwined channels that spread across wide floodplains. Detailed knowledge of their dynamics is need ...

EPFL2020

Spectral coarse graining of complex networks

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Teaching Not To

The landscape of utopia: writings on everyday life, taste, democracy, and design

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

Information Retrieval Under Network Uncertainty: Robust Internet Ranking

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

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

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

Morphology and morphodynamics of braided rivers: an experimental investigation

Teaching Not To

True scale-free networks hidden by finite size effects

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

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

Morphology and morphodynamics of braided rivers: an experimental investigation

The physics of higher-order interactions in complex systems

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

The landscape of utopia: writings on everyday life, taste, democracy, and design

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

Information Retrieval Under Network Uncertainty: Robust Internet Ranking