Zobrazeno 1 - 10
of 8 716
pro vyhledávání: '"Akhil, P"'
Converting mathematical expressions into LaTeX is challenging. In this paper, we explore using newer transformer based architectures for addressing the problem of converting handwritten/digital mathematical expression images into equivalent LaTeX cod
Externí odkaz:
http://arxiv.org/abs/2412.03853
This paper presents a novel approach for cross-view synthesis aimed at generating plausible ground-level images from corresponding satellite imagery or vice versa. We refer to these tasks as satellite-to-ground (Sat2Grd) and ground-to-satellite (Grd2
Externí odkaz:
http://arxiv.org/abs/2412.03315
The Unruh effect is a well-understood phenomenon, where one considers a vacuum state of a quantum field in Minkowski spacetime, which appears to be thermally populated for a uniformly accelerating Rindler observer. In this article, we derive a varian
Externí odkaz:
http://arxiv.org/abs/2412.02560
Autor:
Mohammadi, Esmaeel, Ortiz-Arroyo, Daniel, Hansen, Aviaja Anna, Stokholm-Bjerregaard, Mikkel, Gros, Sebastien, Anand, Akhil S, Durdevic, Petar
Wastewater treatment plants face unique challenges for process control due to their complex dynamics, slow time constants, and stochastic delays in observations and actions. These characteristics make conventional control methods, such as Proportiona
Externí odkaz:
http://arxiv.org/abs/2411.18305
Autor:
Wang, Ziteng, Rea, Nanda, Bao, Tong, Kaplan, David L., Lenc, Emil, Wadiasingh, Zorawar, Hare, Jeremy, Zic, Andrew, Anumarlapudi, Akash, Bera, Apurba, Beniamini, Paz, Cooper, A. J., Clarke, Tracy E., Deller, Adam T., Dawson, J. R., Glowacki, Marcin, Hurley-Walker, Natasha, McSweeney, S. J., Polisensky, Emil J., Peters, Wendy M., Younes, George, Bannister, Keith W., Caleb, Manisha, Dage, Kristen C., James, Clancy W., Kasliwal, Mansi M., Karambelkar, Viraj, Lower, Marcus E., Mori, Kaya, Ocker, Stella Koch, Pérez-Torres, Miguel, Qiu, Hao, Rose, Kovi, Shannon, Ryan M., Taub, Rhianna, Wang, Fayin, Wang, Yuanming, Zhao, Zhenyin, Bhat, N. D. R., Dobie, Dougal, Driessen, Laura N., Murphy, Tara, Jaini, Akhil, Deng, Xinping, Jahns-Schindler, Joscha N., Lee, Y. W. J., Pritchard, Joshua, Tuthill, John, Thyagarajan, Nithyanandan
Recently, a class of long-period radio transients (LPTs) has been discovered, exhibiting emission on timescales thousands of times longer than radio pulsars. Several models had been proposed implicating either a strong magnetic field neutron star, is
Externí odkaz:
http://arxiv.org/abs/2411.16606
Large language models (LLMs) under-perform on low-resource languages due to limited training data. We present a method to efficiently collect text data for low-resource languages from the entire Common Crawl corpus. Our approach, UnifiedCrawl, filter
Externí odkaz:
http://arxiv.org/abs/2411.14343
Finding ground state solutions of diagonal Hamiltonians is relevant for both theoretical as well as practical problems of interest in many domains such as finance, physics and computer science. These problems are typically very hard to tackle by clas
Externí odkaz:
http://arxiv.org/abs/2411.10737
Omnichain Web: The Universal Framework for Streamlined Chain Abstraction and Cross-Layer Interaction
The evolution of the Web3 ecosystem has been hindered by fragmented liquidity and limited interoperability across Layer 1 (L1) and Layer 2 (L2) blockchains, which leads to inefficiencies and elevated costs. Omnichain Web addresses these challenges by
Externí odkaz:
http://arxiv.org/abs/2411.10132
Autor:
Shajan, Akhil, Kaliakin, Danil, Mitra, Abhishek, Moreno, Javier Robledo, Li, Zhen, Motta, Mario, Johnson, Caleb, Saki, Abdullah Ash, Das, Susanta, Sitdikov, Iskandar, Mezzacapo, Antonio, Merz Jr, Kenneth M.
Computing ground-state properties of molecules is a promising application for quantum computers operating in concert with classical high-performance computing resources. Quantum embedding methods are a family of algorithms particularly suited to thes
Externí odkaz:
http://arxiv.org/abs/2411.09861
Machine learning (ML) based indoor localization solutions are critical for many emerging applications, yet their efficacy is often compromised by hardware/software variations across mobile devices (i.e., device heterogeneity) and the threat of ML dat
Externí odkaz:
http://arxiv.org/abs/2411.09055