Zobrazeno 1 - 10
of 2 589
pro vyhledávání: '"P., Sumanth"'
Autor:
Tobias Robert Klein
Publikováno v:
Zeitschrift der Gesellschaft für Musiktheorie, Vol 18, Iss 2, Pp 247-250 (2021)
Externí odkaz:
https://doaj.org/article/2d54e70bf364479999dc833cf59ad2b6
Autor:
Sivaramakrishnan, Aravind, Tangirala, Sumanth, Ramesh, Dhruv Metha, Granados, Edgar, Bekris, Kostas E.
This paper aims to increase the safety and reliability of executing trajectories planned for robots with non-trivial dynamics given a light-weight, approximate dynamics model. Scenarios include mobile robots navigating through workspaces with imperfe
Externí odkaz:
http://arxiv.org/abs/2409.11522
Autor:
McManus, Maxwell, Rinchen, Tenzin, Dey, Annoy, Thota, Sumanth, Zhang, Zhaoxi, Hu, Jiangqi, Wang, Xi, Ji, Mingyue, Mastronarde, Nicholas, Bentley, Elizabeth Serena, Medley, Michael, Guan, Zhangyu
In this work, we present a new federation framework for UnionLabs, an innovative cloud-based resource-sharing infrastructure designed for next-generation (NextG) and Internet of Things (IoT) over-the-air (OTA) experiments. The framework aims to reduc
Externí odkaz:
http://arxiv.org/abs/2408.14460
Autor:
Prabhu, Sumanth
Self-ensembling techniques with diverse reasoning paths such as Self-Consistency have demonstrated remarkable performance gains in text generation with Large Language Models (LLMs). However, such techniques depend on the availability of an accurate a
Externí odkaz:
http://arxiv.org/abs/2408.08869
Solar energetic particle (SEP) events are one of the most crucial aspects of space weather that require continuous monitoring and forecasting using robust methods. We demonstrate a proof of concept of using a data-driven supervised classification fra
Externí odkaz:
http://arxiv.org/abs/2408.05590
Autor:
Hebert, Liam, Sayana, Krishna, Jash, Ambarish, Karatzoglou, Alexandros, Sodhi, Sukhdeep, Doddapaneni, Sumanth, Cai, Yanli, Kuzmin, Dima
Understanding the nuances of a user's extensive interaction history is key to building accurate and personalized natural language systems that can adapt to evolving user preferences. To address this, we introduce PERSOMA, Personalized Soft Prompt Ada
Externí odkaz:
http://arxiv.org/abs/2408.00960
Autor:
Magistri, Federico, Läbe, Thomas, Marks, Elias, Nagulavancha, Sumanth, Pan, Yue, Smitt, Claus, Klingbeil, Lasse, Halstead, Michael, Kuhlmann, Heiner, McCool, Chris, Behley, Jens, Stachniss, Cyrill
As the world population is expected to reach 10 billion by 2050, our agricultural production system needs to double its productivity despite a decline of human workforce in the agricultural sector. Autonomous robotic systems are one promising pathway
Externí odkaz:
http://arxiv.org/abs/2407.13304
Large Language Models (LLMs) are increasingly relied upon to evaluate text outputs of other LLMs, thereby influencing leaderboards and development decisions. However, concerns persist over the accuracy of these assessments and the potential for misle
Externí odkaz:
http://arxiv.org/abs/2406.13439
Autor:
Rao, Sumanth
Enterprises are constantly under attack from sophisticated adversaries. These adversaries use a variety of techniques to first gain access to the enterprise, then spread laterally inside its networks, establish persistence, and finally exfiltrate sen
Externí odkaz:
http://arxiv.org/abs/2406.07559
Solar energetic particle (SEP) events are one of the most crucial aspects of space weather that require continuous monitoring and forecasting. Their prediction depends on various factors including source eruptions. In the present work, we use the Geo
Externí odkaz:
http://arxiv.org/abs/2403.17418