Zobrazeno 1 - 10
of 2 527
pro vyhledávání: '"P. Tambe"'
Autor:
Jang, Wonsuk, Tambe, Thierry
Large Language Models (LLMs) have achieved remarkable success, but their increasing size poses significant challenges in memory usage and computational costs. Quantizing both weights and activations can address these issues, with fine-grained block-w
Externí odkaz:
http://arxiv.org/abs/2501.01144
Autor:
Jain, Gauri, Varakantham, Pradeep, Xu, Haifeng, Taneja, Aparna, Doshi, Prashant, Tambe, Milind
Publikováno v:
PRICAI 2024: Trends in Artificial Intelligence. PRICAI 2024. Lecture Notes in Computer Science(), vol 15285
Public health practitioners often have the goal of monitoring patients and maximizing patients' time spent in "favorable" or healthy states while being constrained to using limited resources. Restless multi-armed bandits (RMAB) are an effective model
Externí odkaz:
http://arxiv.org/abs/2412.08463
AI for social impact (AI4SI) offers significant potential for addressing complex societal challenges in areas such as public health, agriculture, education, conservation, and public safety. However, existing AI4SI research is often labor-intensive an
Externí odkaz:
http://arxiv.org/abs/2412.07880
Neural Jump ODEs model the conditional expectation between observations by neural ODEs and jump at arrival of new observations. They have demonstrated effectiveness for fully data-driven online forecasting in settings with irregular and partial obser
Externí odkaz:
http://arxiv.org/abs/2412.03271
While advances in machine learning with satellite imagery (SatML) are facilitating environmental monitoring at a global scale, developing SatML models that are accurate and useful for local regions remains critical to understanding and acting on an e
Externí odkaz:
http://arxiv.org/abs/2411.14354
Autor:
Dasgupta, Arpan, Jain, Gagan, Suggala, Arun, Shanmugam, Karthikeyan, Tambe, Milind, Taneja, Aparna
Mobile health (mHealth) programs face a critical challenge in optimizing the timing of automated health information calls to beneficiaries. This challenge has been formulated as a collaborative multi-armed bandit problem, requiring online learning of
Externí odkaz:
http://arxiv.org/abs/2410.21405
Multiagent systems grapple with partial observability (PO), and the decentralized POMDP (Dec-POMDP) model highlights the fundamental nature of this challenge. Whereas recent approaches to addressing PO have appealed to deep learning models, providing
Externí odkaz:
http://arxiv.org/abs/2410.13953
Autor:
Boehmer, Niclas, Zhao, Yunfan, Xiong, Guojun, Rodriguez-Diaz, Paula, Cibrian, Paola Del Cueto, Ngonzi, Joseph, Boatin, Adeline, Tambe, Milind
Maternal mortality remains a significant global public health challenge. One promising approach to reducing maternal deaths occurring during facility-based childbirth is through early warning systems, which require the consistent monitoring of mother
Externí odkaz:
http://arxiv.org/abs/2410.08377
Autor:
Gordon, Lucia, Behari, Nikhil, Collier, Samuel, Bondi-Kelly, Elizabeth, Killian, Jackson A., Ressijac, Catherine, Boucher, Peter, Davies, Andrew, Tambe, Milind
Publikováno v:
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. AI for Good. Pages 5977-5985. 2023
Much of Earth's charismatic megafauna is endangered by human activities, particularly the rhino, which is at risk of extinction due to the poaching crisis in Africa. Monitoring rhinos' movement is crucial to their protection but has unfortunately pro
Externí odkaz:
http://arxiv.org/abs/2409.18104
Isospin-equilibrating weak processes, called ``Urca" processes, are of fundamental importance in astrophysical environments like (proto-)neutron stars, neutron star mergers, and supernovae. In these environments, matter can reach high temperatures of
Externí odkaz:
http://arxiv.org/abs/2409.09423