Zobrazeno 1 - 10
of 1 976
pro vyhledávání: '"Gangal A"'
Publikováno v:
Cancer Management and Research, Vol Volume 14, Pp 3271-3279 (2022)
Caitlin Crimp,1 Ameya Gangal,2 Erica S Tarabadkar,3 Michi M Shinohara1,4 1Division of Dermatology, University of Washington, Seattle, WA, USA; 2School of Medicine, Emory University, Atlanta, GA, USA; 3Department of Dermatology, Emory University Schoo
Externí odkaz:
https://doaj.org/article/f65c0c4d2f71474d948cf1bc2e81d483
Autor:
Alok, Ashutosh Kumar, Chall, Trambak Jyoti, Chundawat, Neetu Raj Singh, Gangal, Shireen, Lambiase, Gaetano
Coherence, which represents the superposition of orthogonal states, is a fundamental concept in quantum mechanics and can also be precisely defined within quantum resource theory. Thus exploring quantum coherence in neutrino oscillations can not only
Externí odkaz:
http://arxiv.org/abs/2407.16742
We study non-classical inflaton, which is minimally coupled to the semiclassical gravity in FRW universe in Coherent Squeezed Vacuum State (CSVS). We determined Oscillatory phase of inflaton, power-law expansion, scale factor, density fluctuations, q
Externí odkaz:
http://arxiv.org/abs/2407.13409
Detecting hallucinations in large language model (LLM) outputs is pivotal, yet traditional fine-tuning for this classification task is impeded by the expensive and quickly outdated annotation process, especially across numerous vertical domains and i
Externí odkaz:
http://arxiv.org/abs/2407.05474
In this study, we investigate the causal effect of financial literacy education on a composite financial health score constructed from 17 self-reported financial health and distress metrics ranging from spending habits to confidence in ability to rep
Externí odkaz:
http://arxiv.org/abs/2405.01789
We study the density fluctuations for Coherent Squeezed Number State (CSNS) and Squeezed Number States (SNS) formalism in Semiclassical theory of grav ity in flat FRW universe. We used Number state evolution of oscillatory phase of inflaton for coher
Externí odkaz:
http://arxiv.org/abs/2402.00432
We devise, implement and performance-asses DYAD, a layer which can serve as a faster and more memory-efficient approximate replacement for linear layers, (nn.Linear() in Pytorch). These layers appear in common subcomponents, such as in the ff module
Externí odkaz:
http://arxiv.org/abs/2312.06881
Autor:
Merrick, Justin D., Heiner, Benjamin K., Long, Cameron, Stieber, Brian, Fierro, Steve, Gangal, Vardaan, Blake, Madison, Blackburn, Joshua
Existing reinforcement learning environment libraries use monolithic environment classes, provide shallow methods for altering agent observation and action spaces, and/or are tied to a specific simulation environment. The Core Reinforcement Learning
Externí odkaz:
http://arxiv.org/abs/2303.02182
Physics informed neural network (PINN) based solution methods for differential equations have recently shown success in a variety of scientific computing applications. Several authors have reported difficulties, however, when using PINNs to solve equ
Externí odkaz:
http://arxiv.org/abs/2212.13531
Autor:
Keh, Sedrick Scott, Bharadwaj, Rohit K., Liu, Emmy, Tedeschi, Simone, Gangal, Varun, Navigli, Roberto
We introduce EUREKA, an ensemble-based approach for performing automatic euphemism detection. We (1) identify and correct potentially mislabelled rows in the dataset, (2) curate an expanded corpus called EuphAug, (3) leverage model representations of
Externí odkaz:
http://arxiv.org/abs/2210.12846