Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Chunheng Jiang"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Machine learning influences numerous aspects of modern society, empowers new technologies, from Alphago to ChatGPT, and increasingly materializes in consumer products such as smartphones and self-driving cars. Despite the vital role and broa
Externí odkaz:
https://doaj.org/article/3e9b878fc5c749b3a169e0a59cf3babd
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Many critical complex systems and networks are continuously monitored, creating vast volumes of data describing their dynamics. To understand and optimize their performance, we need to discover and formalize their dynamics to enable their co
Externí odkaz:
https://doaj.org/article/8999cc343fa34e59ac6a90745df0a00a
Autor:
Christopher Brissette, Xiang Niu, Chunheng Jiang, Jianxi Gao, Gyorgy Korniss, Boleslaw K. Szymanski
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Data-driven risk networks describe many complex system dynamics arising in fields such as epidemiology and ecology. They lack explicit dynamics and have multiple sources of cost, both of which are beyond the current scope of traditional cont
Externí odkaz:
https://doaj.org/article/51ff6046cd754aaf8947b0210ebc295f
Publikováno v:
New Journal of Physics, Vol 23, Iss 8, p 083035 (2021)
Despite the advances in discovering new nuclei, modeling microscopic nuclear structure, nuclear reactors, and stellar nucleosynthesis, we still lack a systemic tool, such as a network approach, to understand the structure and dynamics of over 70 thou
Externí odkaz:
https://doaj.org/article/2a9a26e6bb8f41358e5fc6cf7ac702ca
Autor:
Chunheng Jiang, Christopher Brissette, Xiang Niu, Jianxi Gao, Gyorgy Korniss, Boleslaw K. Szymanski
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports
Scientific Reports
Data-driven risk networks describe many complex system dynamics arising in fields such as epidemiology and ecology. They lack explicit dynamics and have multiple sources of cost, both of which are beyond the current scope of traditional control theor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbeaf71edacbad945541326c4c049185
https://pubmed.ncbi.nlm.nih.gov/33828120
https://pubmed.ncbi.nlm.nih.gov/33828120
Autor:
Xiang Niu, Christopher Brissette, Chunheng Jiang, Jianxi Gao, Gyorgy Korniss, Boleslaw Szymanski
Publikováno v:
Web of Science
Data-driven risk networks describe many complex system dynamics arising in fields such as epidemiology and ecology. They lack explicit dynamics and have multiple sources of cost, both of which are beyond the current scope of traditional control theor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6746f6602544250cab7623164ca9226c
http://arxiv.org/abs/2010.14452
http://arxiv.org/abs/2010.14452
Despite the advances in discovering new nuclei, modeling microscopic nuclear structure, nuclear reactors, and stellar nucleosynthesis, we lack a systemic tool, in the form of a network framework, to understand the structure and dynamics of 70 thousan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f74e4035dfd08a201ff124592ca5b53d
https://doi.org/10.21203/rs.3.rs-65075/v1
https://doi.org/10.21203/rs.3.rs-65075/v1
Publikováno v:
AAAI
We study nonlinear dynamics on complex networks. Each vertex $i$ has a state $x_i$ which evolves according to a networked dynamics to a steady-state $x_i^*$. We develop fundamental tools to learn the true steady-state of a small part of the network,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::059e68b722a2cd76fcfb4156f7ad27d9
http://arxiv.org/abs/2001.06722
http://arxiv.org/abs/2001.06722
Publikováno v:
New Journal of Physics. 23:083035
Despite the advances in discovering new nuclei, modeling microscopic nuclear structure, nuclear reactors, and stellar nucleosynthesis, we still lack a systemic tool, such as a network approach, to understand the structure and dynamics of over 70 thou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e85e033d1498dae72bd05014c0b81e4
https://doi.org/10.1088/1367-2630/ac1a3d
https://doi.org/10.1088/1367-2630/ac1a3d
Publikováno v:
AAAI
STV and ranked pairs (RP) are two well-studied voting rules for group decision-making. They proceed in multiple rounds, and are affected by how ties are broken in each round. However, the literature is surprisingly vague about how ties should be brok
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b9b332a3ee746f3c532b52858811ba5
http://arxiv.org/abs/1901.09791
http://arxiv.org/abs/1901.09791