Zobrazeno 1 - 10
of 65 924
pro vyhledávání: '"ASAD, A."'
Active Curriculum Language Modeling (ACLM; Hong et al., 2023) is a learner directed approach to training a language model. We proposed the original version of this process in our submission to the BabyLM 2023 task, and now we propose an updated ACLM
Externí odkaz:
http://arxiv.org/abs/2412.03098
Autor:
Elghaayda, Samira, Ali, Asad, Al-Kuwari, Saif, Czerwinski, Artur, Mansour, Mostafa, Haddadi, Saeed
Finding a quantum battery model that demonstrates a quantum advantage while remaining feasible for experimental production is a considerable challenge. In this paper, we introduce a superconducting quantum battery (SQB) model that exhibits such an ad
Externí odkaz:
http://arxiv.org/abs/2411.19247
Autor:
Ali, Asad, Elghaayda, Samira, Al-Kuwari, Saif, Hussain, M. I., Rahim, M. T., Kuniyil, H., Seida, C., Allati, A. El, Mansour, M., Haddadi, Saeed
We investigate the performance of a novel model based on a one-dimensional (1D) spin-$1/2$ Heisenberg $XY-\Gamma(\gamma)$ quantum chain, also known as 1D Kitaev chain, as a working medium for a quantum battery (QB) in both closed and open system scen
Externí odkaz:
http://arxiv.org/abs/2411.14074
We examine the effect of incorporating self-supervised denoising as a pre-processing step for training deep learning (DL) based reconstruction methods on data corrupted by Gaussian noise. K-space data employed for training are typically multi-coil an
Externí odkaz:
http://arxiv.org/abs/2411.12919
The rapid spread of misinformation, particularly through online platforms, underscores the urgent need for reliable detection systems. This study explores the utilization of machine learning and natural language processing, specifically Support Vecto
Externí odkaz:
http://arxiv.org/abs/2411.12703
Natural policy gradient (NPG) is a common policy optimization algorithm and can be viewed as mirror ascent in the space of probabilities. Recently, Vaswani et al. [2021] introduced a policy gradient method that corresponds to mirror ascent in the dua
Externí odkaz:
http://arxiv.org/abs/2411.12042
Autor:
Iacovelli, Giovanni, Sheemar, Chandan Kumar, Khan, Wali Ullah, Mahmood, Asad, Alexandropoulos, George C., Querol, Jorge, Chatzinotas, Symeon
In this article, we propose the integration of the Holographic Multiple Input Multiple Output (HMIMO) as a transformative solution for next generation Non-Terrestrial Networks (NTNs), addressing key challenges, such as high hardware costs, launch exp
Externí odkaz:
http://arxiv.org/abs/2411.10014
We explore a comprehensive analysis of the formalism governing the gravitational field equations in degenerate higher-order scalar-tensor theories. The propagation of these theories in the vacuum has a maximum of three degrees of freedom and is at mo
Externí odkaz:
http://arxiv.org/abs/2411.06957
In-SRAM computing promises energy efficiency, but circuit nonlinearities and PVT variations pose major challenges in designing robust accelerators. To address this, we introduce OPTIMA, a modeling framework that aids in analyzing bit-line discharge a
Externí odkaz:
http://arxiv.org/abs/2411.06846
Quantum optimal control (QOC) schemes can be employed to enhance the sensitivity of quantum metrology (QM) protocols undergoing Markovian noise, which can limit their precision to a standard quantum limit (SQL)-like scaling. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/2411.04022