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pro vyhledávání: '"A. Varma"'
Traditional evaluation metrics like BLEU and ROUGE fall short when capturing the nuanced qualities of generated text, particularly when there is no single ground truth. In this paper, we explore the potential of Large Language Models (LLMs), specific
Externí odkaz:
http://arxiv.org/abs/2412.09269
The growing reliance on artificial intelligence (AI) in customer support has significantly improved operational efficiency and user experience. However, traditional machine learning (ML) approaches, which require extensive local training on sensitive
Externí odkaz:
http://arxiv.org/abs/2412.07687
Autor:
Varma, Mira
Quantum entanglement, a fundamental feature of quantum mechanics, has become a powerful tool impacting various areas of physics. In this proceeding, we investigate the presence of quantum entanglement within the Higgs to ZZ* (HZZ*) interaction at the
Externí odkaz:
http://arxiv.org/abs/2412.04194
Autor:
Zhang, Chen, Varma, Sushil
This research presents a Python-based simulation framework designed to model electric vehicle (EV) on-demand transportation systems, with a focus on optimizing urban fleet operations. Built on a process-driven architecture, the system efficiently sim
Externí odkaz:
http://arxiv.org/abs/2411.19471
Autor:
Paschali, Magdalini, Chen, Zhihong, Blankemeier, Louis, Varma, Maya, Youssef, Alaa, Bluethgen, Christian, Langlotz, Curtis, Gatidis, Sergios, Chaudhari, Akshay
Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning models capable of interpreting and generating both textual and imaging data. Such models, typically referred to as foundation models, are trained on
Externí odkaz:
http://arxiv.org/abs/2411.18730
Autor:
Varma, Om Ramakisan, Kalra, Mala
The metaheuristic optimization technique attained more awareness for handling complex optimization problems. Over the last few years, numerous optimization techniques have been developed that are inspired by natural phenomena. Recently, the propagati
Externí odkaz:
http://arxiv.org/abs/2411.17282
Underwater images suffer from colour shifts, low contrast, and haziness due to light absorption, refraction, scattering and restoring these images has warranted much attention. In this work, we present Unsupervised Underwater Neural Radiance Field U2
Externí odkaz:
http://arxiv.org/abs/2411.16172
Autor:
Thakkar, Denisha, Trinh, Vincent Quoc-Huy, Varma, Sonal, Kahou, Samira Ebrahimi, Rivaz, Hassan, Hosseini, Mahdi S.
Diffusion Generative Models (DGM) have rapidly surfaced as emerging topics in the field of computer vision, garnering significant interest across a wide array of deep learning applications. Despite their high computational demand, these models are ex
Externí odkaz:
http://arxiv.org/abs/2411.15719
Autor:
Ottomano, Federico, Goulermas, John Y., Gusev, Vladimir, Savani, Rahul, Gaultois, Michael W., Manning, Troy D., Lin, Hai, Manzanera, Teresa P., Poole, Emmeline G., Dyer, Matthew S., Claridge, John B., Alaria, Jon, Daniels, Luke M., Varma, Su, Rimmer, David, Sanderson, Kevin, Rosseinsky, Matthew J.
Machine Learning (ML) has offered innovative perspectives for accelerating the discovery of new functional materials, leveraging the increasing availability of material databases. Despite the promising advances, data-driven methods face constraints i
Externí odkaz:
http://arxiv.org/abs/2411.14034
Autor:
Chatterjee, Soumick, Mattern, Hendrik, Dörner, Marc, Sciarra, Alessandro, Dubost, Florian, Schnurre, Hannes, Khatun, Rupali, Yu, Chun-Chih, Hsieh, Tsung-Lin, Tsai, Yi-Shan, Fang, Yi-Zeng, Yang, Yung-Ching, Huang, Juinn-Dar, Xu, Marshall, Liu, Siyu, Ribeiro, Fernanda L., Bollmann, Saskia, Chintalapati, Karthikesh Varma, Radhakrishna, Chethan Mysuru, Kumara, Sri Chandana Hudukula Ram, Sutrave, Raviteja, Qayyum, Abdul, Mazher, Moona, Razzak, Imran, Rodero, Cristobal, Niederren, Steven, Lin, Fengming, Xia, Yan, Wang, Jiacheng, Qiu, Riyu, Wang, Liansheng, Panah, Arya Yazdan, Jurdi, Rosana El, Fu, Guanghui, Arslan, Janan, Vaillant, Ghislain, Valabregue, Romain, Dormont, Didier, Stankoff, Bruno, Colliot, Olivier, Vargas, Luisa, Chacón, Isai Daniel, Pitsiorlas, Ioannis, Arbeláez, Pablo, Zuluaga, Maria A., Schreiber, Stefanie, Speck, Oliver, Nürnberger, Andreas
The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesoscopic scale, represents a critical vulnerability within the cerebral blood supply and can lead to severe condi
Externí odkaz:
http://arxiv.org/abs/2411.09593