Zobrazeno 1 - 10
of 19 808
pro vyhledávání: '"A Jayaram"'
Autor:
Bushmakin, Vladislav, von Berg, Oliver, Sauerzapf, Colin, Jayaram, Sreehari, Denisenko, Andrej, Vorobyov, Vadim, Gerhardt, Ilja, Liu, Di, Wrachtrup, Jörg
Scalable quantum networks rely on optical connections between long-lived qubits to distribute entanglement. Tin vacancies in diamond have emerged as promising long-lived qubits, offering extended spin coherence times at liquid helium temperatures and
Externí odkaz:
http://arxiv.org/abs/2412.17539
Autor:
Ma, Jun, Li, Feifei, Kim, Sumin, Asakereh, Reza, Le, Bao-Hiep, Nguyen-Vu, Dang-Khoa, Pfefferle, Alexander, Wei, Muxin, Gao, Ruochen, Lyu, Donghang, Yang, Songxiao, Purucker, Lennart, Marinov, Zdravko, Staring, Marius, Lu, Haisheng, Dao, Thuy Thanh, Ye, Xincheng, Li, Zhi, Brugnara, Gianluca, Vollmuth, Philipp, Foltyn-Dumitru, Martha, Cho, Jaeyoung, Mahmutoglu, Mustafa Ahmed, Bendszus, Martin, Pflüger, Irada, Rastogi, Aditya, Ni, Dong, Yang, Xin, Zhou, Guang-Quan, Wang, Kaini, Heller, Nicholas, Papanikolopoulos, Nikolaos, Weight, Christopher, Tong, Yubing, Udupa, Jayaram K, Patrick, Cahill J., Wang, Yaqi, Zhang, Yifan, Contijoch, Francisco, McVeigh, Elliot, Ye, Xin, He, Shucheng, Haase, Robert, Pinetz, Thomas, Radbruch, Alexander, Krause, Inga, Kobler, Erich, He, Jian, Tang, Yucheng, Yang, Haichun, Huo, Yuankai, Luo, Gongning, Kushibar, Kaisar, Amankulov, Jandos, Toleshbayev, Dias, Mukhamejan, Amangeldi, Egger, Jan, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Fujita, Shohei, Kikuchi, Tomohiro, Wiestler, Benedikt, Kirschke, Jan S., de la Rosa, Ezequiel, Bolelli, Federico, Lumetti, Luca, Grana, Costantino, Xie, Kunpeng, Wu, Guomin, Puladi, Behrus, Martín-Isla, Carlos, Lekadir, Karim, Campello, Victor M., Shao, Wei, Brisbane, Wayne, Jiang, Hongxu, Wei, Hao, Yuan, Wu, Li, Shuangle, Zhou, Yuyin, Wang, Bo
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice.
Externí odkaz:
http://arxiv.org/abs/2412.16085
Advancements in foundation models (FMs) have led to a paradigm shift in machine learning. The rich, expressive feature representations from these pre-trained, large-scale FMs are leveraged for multiple downstream tasks, usually via lightweight fine-t
Externí odkaz:
http://arxiv.org/abs/2412.14097
Autor:
Ingole, Balaji Shesharao, Ramineni, Vishnu, Pulipeta, Nikhil Kumar, Kathiriya, Manoj Jayntilal, Krishnappa, Manjunatha Sughaturu, Jayaram, Vivekananda
Publikováno v:
European Journal of Computer Science and Information Technology,12 (6),35-45, 2024 Print ISSN: 2054-0957 (Print)
The synchronic and diachronic study of the evolution of Artificial Intelligence (AI) unveils one prominent fact that its effect can be traced in almost all fields such as healthcare industry. The growth is perceived holistically in software, hardware
Externí odkaz:
http://arxiv.org/abs/2411.16691
This paper describes an efficient algorithm for solving noisy linear inverse problems using pretrained diffusion models. Extending the paradigm of denoising diffusion implicit models (DDIM), we propose constrained diffusion implicit models (CDIM) tha
Externí odkaz:
http://arxiv.org/abs/2411.00359
We study algorithms for approximating the spectral density of a symmetric matrix $A$ that is accessed through matrix-vector product queries. By combining a previously studied Chebyshev polynomial moment matching method with a deflation step that appr
Externí odkaz:
http://arxiv.org/abs/2410.21690
Autor:
Ingole, Balaji Shesharao, Ramineni, Vishnu, Krishnappa, Manjunatha Sughaturu, Jayaram, Vivekananda
Publikováno v:
International Journal of Healthcare Information Systems and Informatics IJHISI 2024
The U.S. Medicaid program is experiencing critical challenges that include rapidly increasing healthcare costs, uneven care accessibility, and the challenge associated with addressing a varied set of population health needs. This paper investigates t
Externí odkaz:
http://arxiv.org/abs/2410.21284
Autor:
Bangad, Nikhil, Jayaram, Vivekananda, Krishnappa, Manjunatha Sughaturu, Banarse, Amey Ram, Bidkar, Darshan Mohan, Nagpal, Akshay, Parlapalli, Vidyasagar
Publikováno v:
International Journal of Computer Engineering and Technology IJCET 2024
This paper presents a theoretical framework for an AI-driven data quality monitoring system designed to address the challenges of maintaining data quality in high-volume environments. We examine the limitations of traditional methods in managing the
Externí odkaz:
http://arxiv.org/abs/2410.08576
Autor:
Pandy, Gokul, Jayaram, Vivekananda, Krishnappa, Manjunatha Sughaturu, Ingole, Balaji Shesharao, Ganeeb, Koushik Kumar, Joseph, Shenson
Robotics Process Automation is revolutionizing business operations by significantly enhancing efficiency, productivity, and operational excellence across various industries. This manuscript delivers a comprehensive review of recent advancements in RP
Externí odkaz:
http://arxiv.org/abs/2410.04255
Autor:
Li, Yilong, Liu, Jingyu, Zhang, Hao, Narayanan, M Badri, Sharma, Utkarsh, Zhang, Shuai, Hu, Pan, Zeng, Yijing, Raghuram, Jayaram, Banerjee, Suman
Deploying large language models (LLMs) locally on mobile devices is advantageous in scenarios where transmitting data to remote cloud servers is either undesirable due to privacy concerns or impractical due to network connection. Recent advancements
Externí odkaz:
http://arxiv.org/abs/2410.05315