Zobrazeno 1 - 10
of 32 121
pro vyhledávání: '"Parekh AS"'
Autor:
Zhang, Chuye, Shao, Yifei Simon, Parekh, Harshil, Shi, Junyao, Chaudhari, Pratik, Kumar, Vijay, Figueroa, Nadia
We present a novel approach for enhancing human-robot collaboration using physical interactions for real-time error correction of large language model (LLM) powered robots. Unlike other methods that rely on verbal or text commands, the robot leverage
Externí odkaz:
http://arxiv.org/abs/2412.12602
One of the most exciting elements of cosmology is researching the potential of anisotropy in the early cosmos. We examine the expansion of the cosmos over time using an anisotropic Bianchi type-I spacetime subjected to the $f(Q)$ gravity. We do this
Externí odkaz:
http://arxiv.org/abs/2412.12323
Background: Effective use of mobile health technologies requires high participant adherence and retention. However, remote digital health studies often face high attrition and low adherence, potentially introducing bias and limiting generalizability.
Externí odkaz:
http://arxiv.org/abs/2412.00942
Self-supervised foundation models have recently been successfully extended to encode three-dimensional (3D) computed tomography (CT) images, with excellent performance across several downstream tasks, such as intracranial hemorrhage detection and lun
Externí odkaz:
http://arxiv.org/abs/2412.00110
Autor:
Ravikumar, Deepak, Yeo, Alex, Zhu, Yiwen, Lakra, Aditya, Nagulapalli, Harsha, Ravindran, Santhosh Kumar, Suh, Steve, Dutta, Niharika, Fogarty, Andrew, Park, Yoonjae, Khushalani, Sumeet, Tarafdar, Arijit, Parekh, Kunal, Krishnan, Subru
Publikováno v:
Proceedings of the VLDB Endowment, Vol. 17, No. 7 ISSN 2150-8097, 2024
The proliferation of big data and analytic workloads has driven the need for cloud compute and cluster-based job processing. With Apache Spark, users can process terabytes of data at ease with hundreds of parallel executors. At Microsoft, we aim at p
Externí odkaz:
http://arxiv.org/abs/2411.11326
Autor:
Parekh, Shalin
A recent paper of Tsai shows how the first few moments of a stochastic flow in the space of measures can completely determine its law. Here we give another proof of this result for the particular case of the one-dimensional multiplicative stochastic
Externí odkaz:
http://arxiv.org/abs/2411.06571
Quantum Max Cut (QMC), also known as the quantum anti-ferromagnetic Heisenberg model, is a QMA-complete problem relevant to quantum many-body physics and computer science. Semidefinite programming relaxations have been fruitful in designing theoretic
Externí odkaz:
http://arxiv.org/abs/2411.04120
Autor:
Anand, Utkarsh, Parekh, Diya, Singh, Thakur Pranav G., Yadav, Hrishikesh S., Moorthy, Ramya S., G, Srinivas
The use of parallel manipulators in aerospace engineering has gained significant attention due to their ability to provide improved stability and precision. This paper presents the design, control, and analysis of 'STEWIE', which is a three-degree-of
Externí odkaz:
http://arxiv.org/abs/2411.04046
Research has shown the effectiveness of reasoning (e.g., Chain-of-Thought), planning (e.g., SelfAsk), and retrieval augmented generation strategies to improve the performance of Large Language Models (LLMs) on various tasks, such as question answerin
Externí odkaz:
http://arxiv.org/abs/2410.23511
A series of work [GKK+08, Kal22, KPV24] has shown that asymptotic advantages in space complexity are possible for quantum algorithms over their classical counterparts in the streaming model. We give a simple quantum sketch that encompasses all these
Externí odkaz:
http://arxiv.org/abs/2410.18922