適用於公開取用強制性政策的文章 - Gianluca Detommaso瞭解詳情
在某個資料庫公開的文章：4
A Stein variational Newton method
G Detommaso, T Cui, A Spantini, Y Marzouk, R Scheichl
NeurIPS 2018, 2018
授權規定： US Department of Defense, UK Engineering and Physical Sciences Research Council
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
J Kruse, G Detommaso, R Scheichl, U Köthe
AAAI-21, 2019
授權規定： UK Engineering and Physical Sciences Research Council
Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems
T Cui, G Detommaso, R Scheichl
Inverse Problems 40 (3), 035005, 2024
授權規定： UK Engineering and Physical Sciences Research Council
A data-centric approach to generative modelling for 3D-printed steel
TJ Dodwell, LR Fleming, C Buchanan, P Kyvelou, G Detommaso, ...
Proceedings of the Royal Society A 477 (2255), 20210444, 2021
授權規定： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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