Zobrazeno 1 - 10
of 819
pro vyhledávání: '"Chatzopoulos P"'
Autor:
Alonso, Martí, Andreu, David, Canal, Ramon, Di Carlo, Stefano, Chatzopoulos, Odysseas, Chenet, Cristiano, Costa, Juanjo, Girones, Andreu, Gizopoulos, Dimitris, Papadimitriou, George, Morancho, Enric, Otero, Beatriz, Savino, Alessandro
Security and RAS are two non-functional requirements under focus for current systems developed for the computing continuum. Due to the increased number of interconnected computer systems across the continuum, security becomes especially pervasive at
Externí odkaz:
http://arxiv.org/abs/2410.17116
Autor:
Lee, Jinwon, Lee, Sanghun, Kreisel, Andreas, Paaske, Jens, Andersen, Brian M., Bastiaans, Koen M., Chatzopoulos, Damianos, Gu, Genda, Cho, Doohee, Allan, Milan P.
The iron-based superconductor FeTe$_{0.55}$Se$_{0.45}$ is a peculiar material: it hosts a surface state with a Dirac dispersion, is a putative topological superconductor hosting Majorana modes in vortices, and has an unusually low Fermi energy. The s
Externí odkaz:
http://arxiv.org/abs/2408.16598
We propose Physics-Aware Neural Implicit Solvers (PANIS), a novel, data-driven framework for learning surrogates for parametrized Partial Differential Equations (PDEs). It consists of a probabilistic, learning objective in which weighted residuals ar
Externí odkaz:
http://arxiv.org/abs/2405.19019
Split learning (SL) has been recently proposed as a way to enable resource-constrained devices to train multi-parameter neural networks (NNs) and participate in federated learning (FL). In a nutshell, SL splits the NN model into parts, and allows cli
Externí odkaz:
http://arxiv.org/abs/2402.10092
Federated Learning (FL) stands out as a widely adopted protocol facilitating the training of Machine Learning (ML) models while maintaining decentralized data. However, challenges arise when dealing with a heterogeneous set of participating devices,
Externí odkaz:
http://arxiv.org/abs/2402.00208
Autor:
Menon, Athira, Ercolino, Andrea, Urbaneja, Miguel A., Lennon, Daniel J., Herrero, Artemio, Hirai, Ryosuke, Langer, Norbert, Schootemeijer, Abel, Chatzopoulos, Emmanouil, Frank, Juhan, Shiber, Sagiv
Blue supergiants are the brightest stars in their host galaxies and yet their evolutionary status has been a long-standing problem in stellar astrophysics. In this pioneering work, we present a large sample of 59 early B-type supergiants in the Large
Externí odkaz:
http://arxiv.org/abs/2311.05581
We investigate the merger between a 16 solar mass star, on its way to becoming a red supergiant (RSG), and a 4 solar mass main-sequence companion. Our study employs three-dimensional hydrodynamic simulations using the state-of-the-art adaptive mesh r
Externí odkaz:
http://arxiv.org/abs/2310.14603
In the field of Computer Science, conference and workshop papers serve as important contributions, carrying substantial weight in research assessment processes, compared to other disciplines. However, a considerable number of these papers are not ass
Externí odkaz:
http://arxiv.org/abs/2307.12794
The multitude of data generated by sensors available on users' mobile devices, combined with advances in machine learning techniques, support context-aware services in recognizing the current situation of a user (i.e., physical context) and optimizin
Externí odkaz:
http://arxiv.org/abs/2306.16029
Publikováno v:
Astronomy & Geophysics, June 1 2023, Volume 64, Issue 3
Betelgeuse has fascinated people since they first looked at the sky. Here we present a contemporary summary of the observations and theory that lead to our understanding of Betelgeuse as a massive red supergiant doomed to collapse and explosion. At o
Externí odkaz:
http://arxiv.org/abs/2306.09449