Zobrazeno 1 - 10
of 38 546
pro vyhledávání: '"Antonis, A"'
The expressive power of message-passing graph neural networks (MPNNs) is reasonably well understood, primarily through combinatorial techniques from graph isomorphism testing. However, MPNNs' generalization abilities -- making meaningful predictions
Externí odkaz:
http://arxiv.org/abs/2412.07106
Hate speech online remains an understudied issue for marginalized communities, and has seen rising relevance, especially in the Global South, which includes developing societies with increasing internet penetration. In this paper, we aim to provide m
Externí odkaz:
http://arxiv.org/abs/2412.04942
Autor:
Forster, Sebastian, Skarlatos, Antonis
Given points from an arbitrary metric space and a sequence of point updates sent by an adversary, what is the minimum recourse per update (i.e., the minimum number of changes needed to the set of centers after an update), in order to maintain a const
Externí odkaz:
http://arxiv.org/abs/2412.03238
This paper studies stabilization of linear time-invariant (LTI) systems when control actions can only be realized in finitely many directions where it is possible to actuate uniformly or logarithmically extended positive scaling factors in each direc
Externí odkaz:
http://arxiv.org/abs/2412.02238
Autor:
Zhong, Weishun, Can, Tankut, Georgiou, Antonis, Shnayderman, Ilya, Katkov, Mikhail, Tsodyks, Misha
Traditional studies of memory for meaningful narratives focus on specific stories and their semantic structures but do not address common quantitative features of recall across different narratives. We introduce a statistical ensemble of random trees
Externí odkaz:
http://arxiv.org/abs/2412.01806
Autor:
Gaidys, Mantas, Maragkaki, Stella, Mimidis, Alexandros, Papadopoulos, Antonis, Lemonis, Andreas, Skoulas, Evangelos, Žemaitis, Andrius, Stratakis, Emmanuel, Gedvilas, Mindaugas
In this research, wettability control by area fraction of laser ablated surface of copper is presented. The functional surfaces with full wettability control from highly hydrophilic to super-hydrophobic were created on copper by nanosecond (ns) and p
Externí odkaz:
http://arxiv.org/abs/2411.17324
We present Y-MAP-Net, a Y-shaped neural network architecture designed for real-time multi-task learning on RGB images. Y-MAP-Net, simultaneously predicts depth, surface normals, human pose, semantic segmentation and generates multi-label captions, al
Externí odkaz:
http://arxiv.org/abs/2411.10334
Autor:
Pardo, Antón, Seoane, Sandra Díaz, Ionescu, Dorin A., Papachristodoulou, Antonis, Villaverde, Alejandro F.
Synthetic biology is a recent area of biological engineering, whose aim is to provide cells with novel functionalities. A number of important results regarding the development of control circuits in synthetic biology have been achieved during the las
Externí odkaz:
http://arxiv.org/abs/2411.05450
Publikováno v:
EPTCS 409, 2024
This volume contains the proceedings of GandALF 2024, the Fifteenth International Symposium on Games, Automata, Logics, and Formal Verification. GandALF 2024 took place on 19-21 June 2024, in Reykjavik, Iceland. The aim of GandALF 2024 is to bring to
Externí odkaz:
http://arxiv.org/abs/2410.21884
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
Autor:
Benavent-Lledo, Manuel, Mulero-Pérez, David, Ortiz-Perez, David, Garcia-Rodriguez, Jose, Argyros, Antonis
The sequential execution of actions and their hierarchical structure consisting of different levels of abstraction, provide features that remain unexplored in the task of action recognition. In this study, we present a novel approach to improve actio
Externí odkaz:
http://arxiv.org/abs/2410.21275