Zobrazeno 1 - 10
of 1 390
pro vyhledávání: '"Aich, P."'
Autor:
Singh, Kaushlender, Dolui, Suman, Hegde, Bharat, Lachhvani, Lavkesh, Patel, Sharvil, Hoque, Injamul, Kumawat, Ashok K., Kumar, Ankit, Macwan, Tanmay, Raj, Harshita, Banerjee, Soumitra, Yadav, Komal, Kanik, Abha, Gautam, Pramila, Kumar, Rohit, Aich, Suman, Pradhan, Laxmikanta, Patel, Ankit, Galodiya, Kalpesh, Raju, Daniel, Jha, S. K., Jadeja, K. A., Patel, K. M., Pandya, S. N., Chaudhary, M. B., Tanna, R. L., Chattopadhyay, P. K., Pal, R., Saxena, Y. C., Sen, Abhijit, Ghosh, Joydeep
In this paper, we report the excitation of coherent density and potential fluctuations induced by magnetohydrodynamic (MHD) activity in the edge plasma region of ADITYA-U Tokamak. When the amplitude of the MHD mode, mainly the m/n = 2/1, increases be
Externí odkaz:
http://arxiv.org/abs/2407.16301
Autor:
Bandyopadhyay, Abhisek, Lee, S., Adroja, D. T., Lees, M. R., Stenning, G. B. G., Aich, P., Tortora, Luca, Meneghini, C., Cibin, G., Berlie, Adam, Saha, R. A., Takegami, D., Melendez-Sans, A., Poelchen, G., Yoshimura, M., Tsuei, K. D., Hu, Z., Chan, Ting-Shan, Chattopadhyay, S., Thakur, G. S., Choi, Kwang-Yong
We present an experimental investigation of the magnetic ground state in Ba$_4$NbIr$_3$O$_{12}$, a fractional valent trimer iridate. X-ray absorption and photoemission spectroscopy show that the Ir valence lies between 3+ and 4+ while Nb is pentavale
Externí odkaz:
http://arxiv.org/abs/2406.17129
Autor:
Giorgi, Salvatore, Liu, Tingting, Aich, Ankit, Isman, Kelsey, Sherman, Garrick, Fried, Zachary, Sedoc, João, Ungar, Lyle H., Curtis, Brenda
Large language models (LLMs) are increasingly being used in human-centered social scientific tasks, such as data annotation, synthetic data creation, and engaging in dialog. However, these tasks are highly subjective and dependent on human factors, s
Externí odkaz:
http://arxiv.org/abs/2406.14462
Autor:
Aich, Ankit, Quynh, Avery, Osseyi, Pamela, Pinkham, Amy, Harvey, Philip, Curtis, Brenda, Depp, Colin, Parde, Natalie
NLP in mental health has been primarily social media focused. Real world practitioners also have high case loads and often domain specific variables, of which modern LLMs lack context. We take a dataset made by recruiting 644 participants, including
Externí odkaz:
http://arxiv.org/abs/2406.12687
Large Language Models (LLMs) are increasingly being used in educational and learning applications. Research has demonstrated that controlling for style, to fit the needs of the learner, fosters increased understanding, promotes inclusion, and helps w
Externí odkaz:
http://arxiv.org/abs/2406.12679
Using variational methods, we numerically investigate the matrix model for the two-color QCD coupled to a single quark (matrix-QCD$_{2,1}$) in the limit of ultra-strong Yang-Mills coupling ($g =\infty$). The spectrum of the model has superselection s
Externí odkaz:
http://arxiv.org/abs/2406.06055
Autor:
Yao, Manyi, Aich, Abhishek, Suh, Yumin, Roy-Chowdhury, Amit, Shelton, Christian, Chandraker, Manmohan
Vision transformer based models bring significant improvements for image segmentation tasks. Although these architectures offer powerful capabilities irrespective of specific segmentation tasks, their use of computational resources can be taxing on d
Externí odkaz:
http://arxiv.org/abs/2404.15244
A powerful architecture for universal segmentation relies on transformers that encode multi-scale image features and decode object queries into mask predictions. With efficiency being a high priority for scaling such models, we observed that the stat
Externí odkaz:
http://arxiv.org/abs/2404.14657
Climate change exacerbates extreme weather events like heavy rainfall and flooding. As these events cause severe losses of property and lives, accurate high-resolution simulation of precipitation is imperative. However, existing Earth System Models (
Externí odkaz:
http://arxiv.org/abs/2404.14416
Autor:
Aich, Shubhra, Wang, Wenshan, Maheshwari, Parv, Sivaprakasam, Matthew, Triest, Samuel, Ho, Cherie, Gregory, Jason M., Rogers III, John G., Scherer, Sebastian
The limited sensing resolution of resource-constrained off-road vehicles poses significant challenges towards reliable off-road autonomy. To overcome this limitation, we propose a general framework based on fusing the future information (i.e. future
Externí odkaz:
http://arxiv.org/abs/2403.11876