Zobrazeno 1 - 10
of 15 624
pro vyhledávání: '"Rajesh, K."'
Autor:
Ghosh, Abhishek, Singh, Rajesh K.
In this article, we study weighted estimates for a general class of lacunary maximal functions on homogeneous groups. As an application we derive improved weighted estimates for the lacunary maximal function associated to the Kor\'anyi spherical mean
Externí odkaz:
http://arxiv.org/abs/2411.01557
This paper presents a numerical method to solve a time-fractional Burgers equation, achieving order of convergence $(2-\alpha)$ in time, here $\alpha$ represents the order of the time derivative. The fractional derivative is modeled by Caputo-Prabhak
Externí odkaz:
http://arxiv.org/abs/2410.20192
Autor:
Zhang, Xiyuan, Teng, Diyan, Chowdhury, Ranak Roy, Li, Shuheng, Hong, Dezhi, Gupta, Rajesh K., Shang, Jingbo
Motion time series collected from mobile and wearable devices such as smartphones and smartwatches offer significant insights into human behavioral patterns, with wide applications in healthcare, automation, IoT, and AR/XR due to their low-power, alw
Externí odkaz:
http://arxiv.org/abs/2410.19818
Autor:
Fu, Xiaohan, Li, Shuheng, Wang, Zihan, Liu, Yihao, Gupta, Rajesh K., Berg-Kirkpatrick, Taylor, Fernandes, Earlence
Large Language Model (LLM) Agents are an emerging computing paradigm that blends generative machine learning with tools such as code interpreters, web browsing, email, and more generally, external resources. These agent-based systems represent an eme
Externí odkaz:
http://arxiv.org/abs/2410.14923
In this paper, we introduce a novel framework for building learning and control, focusing on ventilation and thermal management to enhance energy efficiency. We validate the performance of the proposed framework in system model learning via two case
Externí odkaz:
http://arxiv.org/abs/2403.08996
Autor:
Guo, Han, Hosseini, Ramtin, Zhang, Ruiyi, Somayajula, Sai Ashish, Chowdhury, Ranak Roy, Gupta, Rajesh K., Xie, Pengtao
Masked Autoencoder (MAE) is a notable method for self-supervised pretraining in visual representation learning. It operates by randomly masking image patches and reconstructing these masked patches using the unmasked ones. A key limitation of MAE lie
Externí odkaz:
http://arxiv.org/abs/2402.18128
Large Language Models (LLMs) have seen significant use in domains such as natural language processing and computer vision. Going beyond text, image and graphics, LLMs present a significant potential for analysis of time series data, benefiting domain
Externí odkaz:
http://arxiv.org/abs/2402.01801
Autor:
Malla, Rajesh K., Sukeno, Hiroki, Yu, Hongye, Wei, Tzu-Chieh, Weichselbaum, Andreas, Konik, Robert M.
In recent quantum algorithmic developments, a feedback-based approach has shown promise for preparing quantum many-body system ground states and solving combinatorial optimization problems. This method utilizes quantum Lyapunov control to iteratively
Externí odkaz:
http://arxiv.org/abs/2401.15303