1 code implementation • 31 Oct 2023 • Gabriele D'Acunto, Francesco Bonchi, Gianmarco De Francisci Morales, Giovanni Petri
The bulk of the research effort on brain connectivity revolves around statistical associations among brain regions, which do not directly relate to the causal mechanisms governing brain dynamics.
no code implementations • 17 Apr 2021 • Jacob Andreas, Gašper Beguš, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille Tønnesen, Antonio Torralba, Daniel Vogt, Robert J. Wood
We posit that machine learning will be the cornerstone of future collection, processing, and analysis of multimodal streams of data in animal communication studies, including bioacoustic, behavioral, biological, and environmental data.
no code implementations • NeurIPS Workshop TDA_and_Beyond 2020 • Giovanni Petri, António Leitão
We propose a topological description of neural network expressive power.
no code implementations • 11 Aug 2020 • Jean-Gabriel Young, Giovanni Petri, Tiago P. Peixoto
Pairwise representations nonetheless remain ubiquitous, because higher-order interactions are often not recorded explicitly in network data.
no code implementations • 21 Jun 2019 • Jacob Charles Wright Billings, Mirko Hu, Giulia Lerda, Alexey N. Medvedev, Francesco Mottes, Adrian Onicas, Andrea Santoro, Giovanni Petri
Topological representations are rapidly becoming a popular way to capture and encode higher-order interactions in complex systems.
1 code implementation • 16 Oct 2018 • Iacopo Iacopini, Giovanni Petri, Alain Barrat, Vito Latora
Complex networks have been successfully used to describe the spreading of a disease in populations of interacting individuals.
Physics and Society
2 code implementations • 29 May 2017 • Jean-Gabriel Young, Giovanni Petri, Francesco Vaccarino, Alice Patania
Simplicial complexes are now a popular alternative to networks when it comes to describing the structure of complex systems, primarily because they encode multi-node interactions explicitly.
Physics and Society Statistics Theory Methodology Statistics Theory
1 code implementation • 21 Mar 2017 • Samuel V. Scarpino, Giovanni Petri
As a result, predicting when, where, and how far diseases will spread requires a complex systems approach to modeling.
Physics and Society Populations and Evolution