Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Louis Sharrock"'
Publikováno v:
Entropy, Vol 23, Iss 10, p 1281 (2021)
Generative modelling is an important unsupervised task in machine learning. In this work, we study a hybrid quantum-classical approach to this task, based on the use of a quantum circuit born machine. In particular, we consider training a quantum cir
Externí odkaz:
https://doaj.org/article/d79207dd2afb4c9db29ad74e97e71ad8
Publikováno v:
Stochastic Processes and their Applications. 162:481-546
We analyse the problem of online parameter estimation for a stochastic McKean–Vlasov equation, and the associated system of weakly interacting particles. We propose an online estimator for the parameters of the McKean–Vlasov SDE, or the interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::849e40461b22ed9d3a52f32bd8e0267a
https://doi.org/10.1016/j.spa.2023.05.002
https://doi.org/10.1016/j.spa.2023.05.002
Publikováno v:
Entropy; Volume 23; Issue 10; Pages: 1281
Entropy, Vol 23, Iss 1281, p 1281 (2021)
Entropy
Entropy, Vol 23, Iss 1281, p 1281 (2021)
Entropy
Generative modelling is an important unsupervised task in machine learning. In this work, we study a hybrid quantum-classical approach to this task, based on the use of a quantum circuit Born machine. In particular, we consider training a quantum cir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70199bce48282c8f6e14fc302e320645
Autor:
Louis Sharrock, Nikolas Kantas
In this paper, we consider the problem of jointly performing online parameter estimation and optimal sensor placement for a partially observed infinite dimensional linear diffusion process. We present a novel solution to this problem in the form of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22c37279ff3945383c2079ec8d869399
http://arxiv.org/abs/2009.08693
http://arxiv.org/abs/2009.08693
