Zobrazeno 1 - 10
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pro vyhledávání: '"Kumar, Ashok A"'
We develop a theory to analyze how structure in connectivity shapes the high-dimensional, internally generated activity of nonlinear recurrent neural networks. Using two complementary methods -- a path-integral calculation of fluctuations around the
Externí odkaz:
http://arxiv.org/abs/2409.01969
Studying the behavior of quantum information scrambling in various quantum systems is an active area of research. Recently, Sharma et al. [K.K. Sharma, V.P Gerdt, Quantum Inf. Process 20, 195 (2021)] have shown the mathematical connection between qua
Externí odkaz:
http://arxiv.org/abs/2408.13286
In this work, we propose a method to improve the energy efficiency and fairness of simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) for mobile users, ensuring reduced power consumption while maintaining reliab
Externí odkaz:
http://arxiv.org/abs/2407.06868
Autor:
Pimparkhede, Sameer, Kammakomati, Mehant, Tamilselvam, Srikanth, Kumar, Prince, Kumar, Ashok Pon, Bhattacharyya, Pushpak
Recent developments show that Large Language Models (LLMs) produce state-of-the-art performance on natural language (NL) to code generation for resource-rich general-purpose languages like C++, Java, and Python. However, their practical usage for str
Externí odkaz:
http://arxiv.org/abs/2406.11925
Autor:
Vedavyasa, Kurudi V, Kumar, Ashok
Quantum machine learning (QML) leverages the potential from machine learning to explore the subtle patterns in huge datasets of complex nature with quantum advantages. This exponentially reduces the time and resources necessary for computations. QML
Externí odkaz:
http://arxiv.org/abs/2405.18989
In this paper, we construct the Funk-Finsler structure in various models of the hyperbolic plane. In particular, in the unit disc of the Klein model, it turns out to be a Randers metric, which is a non-Berwald Douglas metric. Further, using Finsler i
Externí odkaz:
http://arxiv.org/abs/2401.04983
Autor:
Wei, Kevin S, Ibrahim, Nasrien E, Kumar, Ashok A, Jena, Sidhant, Chew, Veronica, Depa, Michal, Mayanil, Namrata, Kvedar, Joseph C, Gaggin, Hanna K
Publikováno v:
JMIR mHealth and uHealth, Vol 9, Iss 1, p e19465 (2021)
BackgroundDue to the complexity and chronicity of heart failure, engaging yet simple patient self-management tools are needed. ObjectiveThis study aimed to assess the feasibility and patient engagement with a smartphone app designed for heart failur
Externí odkaz:
https://doaj.org/article/fa57b5281115462dbea7c93e9fb80246
We present the detailed study of the temperature dependent dielectric properties, impedance spectroscopy and electrical conductivity of LaV$_{1-x}$Nb$_x$O$_4$ ($x=$ 0-1) samples prepared by the solid-state reaction method. The dielectric constant ($\
Externí odkaz:
http://arxiv.org/abs/2311.02587
Autor:
Dowran, Mohammadjavad, Win, Aye L., Jain, Umang, Kumar, Ashok, Lawrie, Benjamin J., Pooser, Raphael C., Marino, Alberto M.
Publikováno v:
ACS Photonics 11, 3037-3045 (2024)
Quantum metrology takes advantage of quantum correlations to enhance the sensitivity of sensors and measurement techniques beyond their fundamental classical limit given by the shot noise limit. The use of both temporal and spatial correlations prese
Externí odkaz:
http://arxiv.org/abs/2311.01560
Autor:
Kumar, Ashok S, Kalyani, Sheetal
Noise contamination affects the performance of orthogonal time frequency space (OTFS) signals in real-world environments, making radar sensing challenging. Our objective is to derive the range and velocity from the delay-Doppler (DD) domain for radar
Externí odkaz:
http://arxiv.org/abs/2310.00897