Zobrazeno 1 - 10
of 3 873
pro vyhledávání: '"Athanasiou, P"'
We construct local, in spacetime, singular solutions to the Einstein vacuum equations that exhibit Kasner-like behavior in their past boundary. Our result can be viewed as a localization (in space) of the construction in \cite{FL}. We also prove a re
Externí odkaz:
http://arxiv.org/abs/2412.16630
Autor:
Vlontzou, Maria Eleftheria, Athanasiou, Maria, Dalakleidi, Kalliopi, Skampardoni, Ioanna, Davatzikos, Christos, Nikita, Konstantina
An interpretable machine learning (ML) framework is introduced to enhance the diagnosis of Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) by ensuring robustness of the ML models' interpretations. The dataset used comprises volumetric me
Externí odkaz:
http://arxiv.org/abs/2412.09376
Quantitative Information Flow (QIF) provides a robust information-theoretical framework for designing secure systems with minimal information leakage. While previous research has addressed the design of such systems under hard constraints (e.g. appli
Externí odkaz:
http://arxiv.org/abs/2411.10059
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling
Publikováno v:
ACM CCS 2024
Federated Learning (FL) enables clients to train a joint model without disclosing their local data. Instead, they share their local model updates with a central server that moderates the process and creates a joint model. However, FL is susceptible t
Externí odkaz:
http://arxiv.org/abs/2411.06458
Autor:
Ganitidis, Theofanis, Athanasiou, Maria, Mitsis, Konstantinos, Zarkogianni, Konstantia, Nikita, Konstantina S.
Background: The COVID-19 pandemic has highlighted the need for robust diagnostic tools capable of detecting the disease from diverse and evolving data sources. Machine learning models, especially convolutional neural networks (CNNs), have shown promi
Externí odkaz:
http://arxiv.org/abs/2409.19300
The focus of this paper is on 3D motion editing. Given a 3D human motion and a textual description of the desired modification, our goal is to generate an edited motion as described by the text. The key challenges include the scarcity of training dat
Externí odkaz:
http://arxiv.org/abs/2408.00712
The Carrollian fluid equations arise from the equations for relativistic fluids in the limit as the speed of light vanishes, and have recently experienced a surge of interest in the theoretical physics community in the context of asymptotic symmetrie
Externí odkaz:
http://arxiv.org/abs/2407.05971
Publikováno v:
JHEP 11 (2024) 012
Galilean and Carrollian algebras acting on two-dimensional Newton-Cartan and Carrollian manifolds are isomorphic. A consequence of this property is a duality correspondence between one-dimensional Galilean and Carrollian fluids. We describe the dynam
Externí odkaz:
http://arxiv.org/abs/2407.05962
Abstract Knowledge of the evolution of mechanical properties of the curing matrix is of great importance in composite parts or structure fabrication. Conventional rheometry, based on small amplitude oscillatory shear is limited by long interrogation
Externí odkaz:
http://arxiv.org/abs/2405.07721
Autor:
Diomataris, Markos, Athanasiou, Nikos, Taheri, Omid, Wang, Xi, Hilliges, Otmar, Black, Michael J.
Synthesizing natural human motions that enable a 3D human avatar to walk and reach for arbitrary goals in 3D space remains an unsolved problem with many applications. Existing methods (data-driven or using reinforcement learning) are limited in terms
Externí odkaz:
http://arxiv.org/abs/2404.15383