Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ouyang, Ruikang"'
Developing an efficient sampler capable of generating independent and identically distributed (IID) samples from a Boltzmann distribution is a crucial challenge in scientific research, e.g. molecular dynamics. In this work, we intend to learn neural
Externí odkaz:
http://arxiv.org/abs/2409.09787
For analysing real-world networks, graph representation learning is a popular tool. These methods, such as a graph autoencoder (GAE), typically rely on low-dimensional representations, also called embeddings, which are obtained through minimising a l
Externí odkaz:
http://arxiv.org/abs/2402.01614
Publikováno v:
Redai dili, Vol 41, Iss 3, Pp 540-553 (2021)
The study of urban building combinations is necessary to achieve sustainable urban development, as through such a study we can better grasp the process of urban development and evolution, guide the direction of future urban development, optimize the
Externí odkaz:
https://doaj.org/article/635a28134ba94c65bec843aedceabd42
Publikováno v:
Acta Ecologica Sinica. 41
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6416327d86d7f5bd922cb6436300f4c
https://doi.org/10.5846/stxb202008182157
https://doi.org/10.5846/stxb202008182157