Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Cindy Orozco Bohorquez"'
Autor:
Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrian Macias, Chetan Tekur, Matthew Boyd
Publikováno v:
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ad2a667aa2f176c88d59ce4e8e01acd
https://doi.org/10.1109/pmbs56514.2022.00007
https://doi.org/10.1109/pmbs56514.2022.00007
Autor:
Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
We seek to transform how new and emergent variants of pandemiccausing viruses, specifically SARS-CoV-2, are identified and classified. By adapting large language models (LLMs) for genomic data, we build genome-scale language models (GenSLMs) which ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb3062847bc49934d638fc48a21a278
https://doi.org/10.1101/2022.10.10.511571
https://doi.org/10.1101/2022.10.10.511571
Publikováno v:
Journal of Computational Physics. 384:1-15
This paper proposes a novel neural network architecture inspired by the nonstandard form proposed by Beylkin, Coifman, and Rokhlin in [Communications on Pure and Applied Mathematics, 44(2), 141-183]. The nonstandard form is a highly effective wavelet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c97e008b6f4523a36fb047d892e45cf
https://doi.org/10.1016/j.jcp.2019.02.002
https://doi.org/10.1016/j.jcp.2019.02.002