Zobrazeno 1 - 10
of 8 794
pro vyhledávání: '"Argyris A"'
Autor:
Argyris Apostolos
Publikováno v:
Nanophotonics, Vol 11, Iss 5, Pp 897-916 (2022)
Machine learning (ML) and neuromorphic computing have been enforcing problem-solving in many applications. Such approaches found fertile ground in optical communications, a technological field that is very demanding in terms of computational speed an
Externí odkaz:
https://doaj.org/article/d51481e317fd4b4492ea68f86b430fe7
Partial observability of the underlying states generally presents significant challenges for reinforcement learning (RL). In practice, certain \emph{privileged information}, e.g., the access to states from simulators, has been exploited in training a
Externí odkaz:
http://arxiv.org/abs/2412.00985
Many alignment methods, including reinforcement learning from human feedback (RLHF), rely on the Bradley-Terry reward assumption, which is insufficient to capture the full range of general human preferences. To achieve robust alignment with general p
Externí odkaz:
http://arxiv.org/abs/2410.23223
Accurate electricity demand forecasting is essential for several reasons, especially as the integration of renewable energy sources and the transition to a decentralized network paradigm introduce greater complexity and uncertainty. The proposed meth
Externí odkaz:
http://arxiv.org/abs/2408.17366
Autor:
Mrazek, Vojtech, Kokkinis, Argyris, Papanikolaou, Panagiotis, Vasicek, Zdenek, Siozios, Kostas, Tzimpragos, Georgios, Tahoori, Mehdi, Zervakis, Georgios
Printed electronics offer ultra-low manufacturing costs and the potential for on-demand fabrication of flexible hardware. However, significant intrinsic constraints stemming from their large feature sizes and low integration density pose design chall
Externí odkaz:
http://arxiv.org/abs/2407.20589
Publikováno v:
Nanophotonics, Vol 9, Iss 13, Pp 4163-4171 (2020)
Semiconductor lasers (SLs) that are subject to delayed optical feedback and external optical injection have been demonstrated to perform information processing using the photonic reservoir computing paradigm. Optical injection or optical feedback can
Externí odkaz:
https://doaj.org/article/f48d2f732bb24de09484a088f99aae49
Autor:
Serré, Gaëtan, Beja-Battais, Perceval, Chirrane, Sophia, Kalogeratos, Argyris, Vayatis, Nicolas
In this paper, we propose simple yet effective empirical improvements to the algorithms of the LIPO family, introduced in [Malherbe2017], that we call LIPO+ and AdaLIPO+. We compare our methods to the vanilla versions of the algorithms over standard
Externí odkaz:
http://arxiv.org/abs/2406.19723
Autor:
Kalavasis, Alkis, Karbasi, Amin, Oikonomou, Argyris, Sotiraki, Katerina, Velegkas, Grigoris, Zampetakis, Manolis
As ML models become increasingly complex and integral to high-stakes domains such as finance and healthcare, they also become more susceptible to sophisticated adversarial attacks. We investigate the threat posed by undetectable backdoors, as defined
Externí odkaz:
http://arxiv.org/abs/2406.05660
Autor:
Li, Yingkai, Oikonomou, Argyris
We study a single-agent contracting environment where the agent has misspecified beliefs about the outcome distributions for each chosen action. First, we show that for a myopic Bayesian learning agent with only two possible actions, the empirical fr
Externí odkaz:
http://arxiv.org/abs/2405.20423
Autor:
Agarwal, Sushant, Kamath, Gautam, Majid, Mahbod, Mouzakis, Argyris, Silver, Rose, Ullman, Jonathan
We study person-level differentially private (DP) mean estimation in the case where each person holds multiple samples. DP here requires the usual notion of distributional stability when $\textit{all}$ of a person's datapoints can be modified. Inform
Externí odkaz:
http://arxiv.org/abs/2405.20405