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pro vyhledávání: '"P. Sumanth"'
Chronic kidney disease (CKD) is a significant public health challenge, often progressing to end-stage renal disease (ESRD) if not detected and managed early. Early intervention, warranted by silent disease progression, can significantly reduce associ
Externí odkaz:
http://arxiv.org/abs/2411.10754
Many important phenomena in scientific fields such as climate, neuroscience, and epidemiology are naturally represented as spatiotemporal gridded data with complex interactions. For example, in climate science, researchers aim to uncover how large-sc
Externí odkaz:
http://arxiv.org/abs/2411.05331
Autor:
D, Manjunath, Gurunath, Prajwal, Udupa, Sumanth, Gandhamal, Aditya, Madhu, Shrikar, Sikdar, Aniruddh, Sundaram, Suresh
Deep neural networks (DNNs) have shown exceptional performance when trained on well-illuminated images captured by Electro-Optical (EO) cameras, which provide rich texture details. However, in critical applications like aerial perception, it is essen
Externí odkaz:
http://arxiv.org/abs/2410.20953
Autor:
Wang, Franklin, Hegde, Sumanth
Offline paired preference optimization algorithms have become a popular approach for fine-tuning on preference data, outperforming traditional supervised fine-tuning in various tasks. However, traditional implementations often involve redundant compu
Externí odkaz:
http://arxiv.org/abs/2410.20305
Autor:
Doddapaneni, Sumanth, Khan, Mohammed Safi Ur Rahman, Venkatesh, Dilip, Dabre, Raj, Kunchukuttan, Anoop, Khapra, Mitesh M.
Evaluating machine-generated text remains a significant challenge in NLP, especially for non-English languages. Current methodologies, including automated metrics, human assessments, and LLM-based evaluations, predominantly focus on English, revealin
Externí odkaz:
http://arxiv.org/abs/2410.13394
This paper reviews the large spectrum of methods for generating robot motion proposed over the 50 years of robotics research culminating in recent developments. It crosses the boundaries of methodologies, typically not surveyed together, from those t
Externí odkaz:
http://arxiv.org/abs/2410.12172
Geolocation plays a critical role in understanding the Internet. In this work, we provide an in-depth analysis of operator-misreported geolocation. Using a bandwidth-efficient methodology, we find in May 2024 that only a small percentage (1.5%) of va
Externí odkaz:
http://arxiv.org/abs/2409.19109
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