Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Denis Repin"'
Autor:
Deeptanshu Malik, David Svitov, Denis Repin, Xin Liu, Hong Hanh Nguyen, Xuyang Guo, Jaeyoun Kim, Xiao Hu, Jun-Hyeok Lee, Alexander Kondratyev, Xiaopeng Zhang, Shaojie Zhuo, Andrew Howard, Sergei Alyamkin, Bo Fu, Yi Chen, Chen Feng, Alexander C. Berg, Eunbyung Park, Tao Sheng, Zhiyu Liang, George K. Thiruvathukal, Zichen Fan, Bo Chen, Jingchi Zhang, Baiwu Zhang, Fei Sun, Kent Gauen, Seungjae Lee, Yuanjun Huang, Matthew Ardi, Abhinav Goel, Hsin-Pai Cheng, Suwoong Lee, Achille Brighton, Yang Lu, Zichao Li, Dong-Hyun Kang, Jong-Gook Ko, Yung-Hsiang Lu, Soonhoi Ha, Alexander Goncharenko, Liang Shen, Juzheng Liu
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9:411-421
Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisi
Publikováno v:
Quantitative Evaluation of Systems ISBN: 9783030598532
QEST
QEST
We present a toolbox for stochastic simulations with CRN models and their (automated) deep abstractions: a mixture density deep neural network trained on time-series data produced by the CRN. The optimal neural network architecture is learnt along wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::960a3b91c868e8c8e4242e6da5019dde
https://doi.org/10.1007/978-3-030-59854-9_4
https://doi.org/10.1007/978-3-030-59854-9_4
Autor:
Denis Repin, Tatjana Petrov
Publikováno v:
Information and Computation. 281:104788
Predicting stochastic cellular dynamics as emerging from the mechanistic models of molecular interactions is a long-standing challenge in systems biology: low-level chemical reaction network (CRN) models give rise to a highly-dimensional continuous-t