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19912026
most citedScikit-learn: Machine Learning in Python

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20 papers · 1 filter

physics.ins-det2023★ 5 cited

Time Projection Chamber for GADGET II

Ruchi Mahajan, T. Wheeler, E. Pollacco +17

Background: The established GADGET detection system, designed for measuring weak, low-energy -delayed proton decays, features a gaseous Proton Detector with MICROMEGAS readout f…

cond-mat.dis-nn2023

Multifractality in critical neural field dynamics

Merlin Dumeur, Sheng H. Wang, J. Matias Palva +1

The brain criticality hypothesis has largely only characterized brain dynamics in terms of their self-similarity, although experimental evidence suggests that the brain exhibits si…

astro-ph.IM2023

Environmental transition: overview of actions to reduce the environmental footprint of astronomy

Lucie Leboulleux, Faustine Cantalloube, Marie-Alice Foujols +15

To keep current global warming below 1.5°C compared with the pre-industrial era, measures must be taken as quickly as possible in all spheres of society. Astronomy must also make i…

cond-mat.stat-mech2023★ 2 cited

Universality of closed nested paths in two-dimensional percolation

Yu-Feng Song, Jesper Lykke Jacobsen, Bernard Nienhuis +2

Recent work on percolation in [J. Phys. A {\bf 55} 204002] introduced an operator that gives a weight to configurations with `nested paths' (NP), i.e. disjo…

cs.LG2023

Exact and general decoupled solutions of the LMC Multitask Gaussian Process model

Olivier Truffinet, Karim Ammar, Jean-Philippe Argaud +1

The Linear Model of Co-regionalization (LMC) is a very general multitask gaussian process model for regression or classification. While its expressiveness and conceptual simplicity…

physics.soc-ph2023

Near-future projections in continuous agent-based models for crowd dynamics: mathematical structures in use and their implications

Iñaki Echeverría-Huarte, Antonin Roge, Olivier Simonin +1

This paper addresses the theoretical foundations of pedestrian models for crowd dynamics. While the topic gains momentum, current models differ widely in their mathematical structu…