Zobrazeno 1 - 10
of 14 999
pro vyhledávání: '"A. Nikolaou"'
This work presents a novel means for understanding learning dynamics and scaling relations in neural networks. We show that certain measures on the spectrum of the empirical neural tangent kernel, specifically entropy and trace, yield insight into th
Externí odkaz:
http://arxiv.org/abs/2410.07451
Publikováno v:
Phys. Rev. A 110, 043302 (2024)
We consider a "symmetric" quantum droplet in two spatial dimensions, which rotates in a harmonic potential, focusing mostly on the limit of "rapid" rotation. We examine this problem using a purely numerical approach, as well as a semi-analytic Wigner
Externí odkaz:
http://arxiv.org/abs/2407.02221
Autor:
Tovey, Samuel, Lohrmann, Christoph, Merkt, Tobias, Zimmer, David, Nikolaou, Konstantin, Koppenhöfer, Simon, Bushmakina, Anna, Scheunemann, Jonas, Holm, Christian
This work introduces SwarmRL, a Python package designed to study intelligent active particles. SwarmRL provides an easy-to-use interface for developing models to control microscopic colloids using classical control and deep reinforcement learning app
Externí odkaz:
http://arxiv.org/abs/2404.16388
Autor:
Nikolaou, Iasonas, Terzi, Evimaria
In this work, we formulate the problem of team formation amidst conflicts. The goal is to assign individuals to tasks, with given capacities, taking into account individuals' task preferences and the conflicts between them. Using dependent rounding s
Externí odkaz:
http://arxiv.org/abs/2403.00859
In this work, we develop a graphical model to capture team dynamics. We analyze the model and show how to learn its parameters from data. Using our model we study the phenomenon of team collapse from a computational perspective. We use simulations an
Externí odkaz:
http://arxiv.org/abs/2402.10243
Publikováno v:
Phys. Rev. A 109, 043304 (2024)
We investigate the rotational properties of quantum droplets, which form in a mixture of two Bose-Einstein condensates, in the presence of an anharmonic trapping potential. We identify various phases as the atom number and the angular momentum/angula
Externí odkaz:
http://arxiv.org/abs/2312.03615
We study monotone submodular maximization under general matroid constraints in the online setting. We prove that online optimization of a large class of submodular functions, namely, weighted threshold potential functions, reduces to online convex op
Externí odkaz:
http://arxiv.org/abs/2309.04339
Autor:
Amalia Lupi, Suchá Dominika, Giulia Cundari, Nicola Fink, Hatem Alkadhi, Ricardo P. J. Budde, Federico Caobelli, Carlo N. De Cecco, Nicola Galea, Maja Hrabak-Paar, Christian Loewe, Julian Luetkens, Giuseppe Muscogiuri, Luigi Natale, Konstantin Nikolaou, Maja Pirnat, Luca Saba, Rodrigo Salgado, Michelle C. Williams, Bernd J. Wintersperger, Rozemarijn Vliegenthart, Marco Francone, Alessia Pepe
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Cardiovascular imaging is exponentially increasing in the diagnosis, risk stratification, and therapeutic management of patients with cardiovascular disease. The European Society of Cardiovascular Radiology (ESCR) is a non-profit scientific
Externí odkaz:
https://doaj.org/article/f30dccf3c8244dd5b2c5abd97595e3c0
We investigate the rotational properties of a two-component, two-dimensional self-bound quantum droplet, which is confined in a harmonic potential and compare them with the well-known problem of a single-component atomic gas with contact interactions
Externí odkaz:
http://arxiv.org/abs/2305.09422
A theory of neural networks (NNs) built upon collective variables would provide scientists with the tools to better understand the learning process at every stage. In this work, we introduce two such variables, the entropy and the trace of the empiri
Externí odkaz:
http://arxiv.org/abs/2305.00995