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18 papers · 1 filter
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
Neural networks for structured data like graphs have been studied extensively in recent years. To date, the bulk of research activity has focused mainly on static graphs. However,…
Cities as they could be: Artificial Life and Urban Systems
Juste Raimbault
The metaphor of cities as organisms has a long history in urban planning, and a few urban modeling approaches have explicitly been linked to Artificial Life. We propose in that pap…
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference
Achille Thin, Nikita Kotelevskii, Jean-Stanislas Denain +4
In this contribution, we propose a new computationally efficient method to combine Variational Inference (VI) with Markov Chain Monte Carlo (MCMC). This approach can be used with g…
Random stable type minimal factorizations of the -cycle
Paul Thevenin
We investigate random minimal factorizations of the -cycle, that is, factorizations of the permutation into a product of cycles whose leng…
Multi-scale simulations of particle acceleration in astrophysical systems
A. Marcowith, G. Ferrand, M. Grech +3
This review aims at providing an up-to-date status and a general introduction to the subject of the numerical study of energetic particle acceleration and transport in turbulent as…
Observational Evidence for Stochastic Shock Drift Acceleration of Electrons at the Earth's Bow Shock
T. Amano, T. Katou, N. Kitamura +14
The first-order Fermi acceleration of electrons requires an injection of electrons into a mildly relativistic energy range. However, the mechanism of injection has remained a puzzl…