Zobrazeno 1 - 10
of 3 453
pro vyhledávání: '"Charalambous, P"'
From a study of the subleading structure of the asymptotic equations of motion in Einstein-Yang-Mills theory, we construct charges that are conserved up to quadratic order in non-radiative vacuum. We then show that these higher spin charges obey the
Externí odkaz:
http://arxiv.org/abs/2412.01647
This paper deals with the computation of a non-asymptotic lower bound by means of the nonanticipative rate-distortion function (NRDF) on the discrete-time zero-delay variable-rate lossy compression problem for discrete Markov sources with per-stage,
Externí odkaz:
http://arxiv.org/abs/2411.11698
In this opinion article, we gathered some reflections and practical tips on what Early Stage Researchers do against inequalities in academia. This is the longer version of an opinion paper that was recently published on the website of the Internation
Externí odkaz:
http://arxiv.org/abs/2410.06457
Autor:
Makridis, Evagoras, Grammenos, Andreas, Oliva, Gabriele, Kalyvianaki, Evangelia, Hadjicostis, Christoforos N., Charalambous, Themistoklis
In this paper, we address the distributed average consensus problem over directed networks in open multi-agent systems (OMAS), where the stability of the network is disrupted by frequent agent arrivals and departures, leading to a time-varying averag
Externí odkaz:
http://arxiv.org/abs/2409.08634
In realistic distributed optimization scenarios, individual nodes possess only partial information and communicate over bandwidth constrained channels. For this reason, the development of efficient distributed algorithms is essential. In our paper we
Externí odkaz:
http://arxiv.org/abs/2409.05418
We consider optimal signalling and control of discrete-time nonlinear partially observable stochastic systems in state space form. In the first part of the paper, we characterize the operational {\it control-coding capacity}, $C_{FB}$ in bits/second,
Externí odkaz:
http://arxiv.org/abs/2407.18588
Autor:
Charalambous, Christos
Understanding the social determinants that influence the adoption of preventive measures during a disease outbreak is crucial for building effective epidemic models and hence for policy making. While traditional behavioral epidemic models focused on
Externí odkaz:
http://arxiv.org/abs/2405.11887
The next generation of AI systems requires strong safety guarantees. This report looks at the software implementation of neural networks and related memory safety properties, including NULL pointer deference, out-of-bound access, double-free, and mem
Externí odkaz:
http://arxiv.org/abs/2405.08848
Autor:
Charalambous, Panagiotis
In this thesis, we present the emergence of an $SL(2,R)$ ("Love") symmetry in the suitably defined near-zone region, relevant for studying the black hole response problem. This symmetry is globally defined and physical solutions of the black hole lin
Externí odkaz:
http://arxiv.org/abs/2404.17030
Autor:
Braberman, Víctor A., Bonomo-Braberman, Flavia, Charalambous, Yiannis, Colonna, Juan G., Cordeiro, Lucas C., de Freitas, Rosiane
Prompting has become one of the main approaches to leverage emergent capabilities of Large Language Models [Brown et al. NeurIPS 2020, Wei et al. TMLR 2022, Wei et al. NeurIPS 2022]. Recently, researchers and practitioners have been "playing" with pr
Externí odkaz:
http://arxiv.org/abs/2404.09384