Zobrazeno 1 - 10
of 11 149
pro vyhledávání: '"Narayana, P. A."'
Autor:
Balasubramanian, Ashwin, Zou, Vito, Narayana, Hitesh, You, Christina, Luceri, Luca, Ferrara, Emilio
In this paper, we introduce the first release of a large-scale dataset capturing discourse on $\mathbb{X}$ (a.k.a., Twitter) related to the upcoming 2024 U.S. Presidential Election. Our dataset comprises 22 million publicly available posts on X.com,
Externí odkaz:
http://arxiv.org/abs/2411.00376
Capturing the correct dynamics at the Coarse-Grained (CG) scale remains a central challenge in the advancement of systematic CG models for soft matter simulations. The Generalized Langevin Equation (GLE), rooted in the Mori-Zwanzig formalism, provide
Externí odkaz:
http://arxiv.org/abs/2410.08424
Autor:
Kumari, Vibhuti, Kavi, Narayana Murthy
In this paper we propose a novel method of augmenting parallel text corpora which promises good quality and is also capable of producing many fold larger corpora than the seed corpus we start with. We do not need any additional monolingual corpora. W
Externí odkaz:
http://arxiv.org/abs/2410.03194
Autor:
Tashakori, Arvin, Jiang, Zenan, Servati, Amir, Soltanian, Saeid, Narayana, Harishkumar, Le, Katherine, Nakayama, Caroline, Yang, Chieh-ling, Wang, Z. Jane, Eng, Janice J., Servati, Peyman
Publikováno v:
Nature Machine Intelligence 6 (2024) 106-118
Accurate real-time tracking of dexterous hand movements and interactions has numerous applications in human-computer interaction, metaverse, robotics, and tele-health. Capturing realistic hand movements is challenging because of the large number of a
Externí odkaz:
http://arxiv.org/abs/2410.02221
Autor:
Roy, Sujit, Singh, Talwinder, Freitag, Marcus, Schmude, Johannes, Lal, Rohit, Hegde, Dinesha, Ranjan, Soumya, Lin, Amy, Gaur, Vishal, Vos, Etienne Eben, Ghosal, Rinki, Patro, Badri Narayana, Aydin, Berkay, Pogorelov, Nikolai, Moreno, Juan Bernabe, Maskey, Manil, Ramachandran, Rahul
Deep learning-based methods have been widely researched in the areas of language and vision, demonstrating their capacity to understand long sequences of data and their usefulness in numerous helio-physics applications. Foundation models (FMs), which
Externí odkaz:
http://arxiv.org/abs/2410.10841
Autor:
Prasad, {Rashmi, Vergara, Pedro P., Padhy, Narayana Prasad, Dimitrovski, Robert, Lekić, Aleksandra
Publikováno v:
PESGM 2024
The heterogeneous distribution of frequency support from dispersed renewable generation sources results in varying inertia within the system. The effects of disturbances exhibit non-uniform variations contingent upon the disturbance's location and th
Externí odkaz:
http://arxiv.org/abs/2409.19995
Electrode-electrolyte interfaces are crucial for electrochemical energy conversion and storage. At these interfaces, the liquid electrolytes form electrical double layers (EDLs). However, despite more than a century of active research, the fundamenta
Externí odkaz:
http://arxiv.org/abs/2409.10008
Autor:
Trigg, Aaron C., Stewart, Rachel, van Kooten, Alex, Burns, Eric, Roberts, Oliver J., Frederiks, Dmitry D., Baring, Matthew G., Younes, George, Svinkin, Dmitry S., Wadiasingh, Zorawar, Veres, Peter, Bhat, Narayana, Briggs, Michael S., Scotton, Lorenzo, Goldstein, Adam, Busmann, Malte, O'Connor, Brendan, Hu, Lei, Gruen, Daniel, Riffeser, Arno, Zoeller, Raphael, Palmese, Antonella, Huppenkothen, Daniela, Kouveliotou, Chryssa
We present the detection and analysis of GRB 231115A, a candidate extragalactic magnetar giant flare (MGF) observed by Fermi/GBM and localized by INTEGRAL to the starburst galaxy M82. This burst exhibits distinctive temporal and spectral characterist
Externí odkaz:
http://arxiv.org/abs/2409.06056
A nontrivial connected graph is matching covered if each edge belongs to some perfect matching. There is extensive theory on these graphs; see Lucchesi and Murty [Perfect Matchings, Springer 2024]. Two edges are mutually dependent if every perfect ma
Externí odkaz:
http://arxiv.org/abs/2409.00534
Autor:
Berge, Siri Hegna, de Winter, Joost, Dodou, Dimitra, Afghari, Amir Pooyan, Papadimitriou, Eleonora, Reddy, Nagarjun, Dong, Yongqi, Raju, Narayana, Farah, Haneen
As automated vehicles (AVs) become increasingly popular, the question arises as to how cyclists will interact with such vehicles. This study investigated (1) whether cyclists spontaneously notice if a vehicle is driverless, (2) how well they perform
Externí odkaz:
http://arxiv.org/abs/2408.10064