Alessio Spantini
Title
Cited by
Cited by
Year
Sampling via measure transport: An introduction
Y Marzouk, T Moselhy, M Parno, A Spantini
Handbook of uncertainty quantification, 1-41, 2016
142*2016
Likelihood-informed dimension reduction for nonlinear inverse problems
T Cui, J Martin, YM Marzouk, A Solonen, A Spantini
Inverse Problems 30 (11), 114015, 2014
1272014
Optimal low-rank approximations of Bayesian linear inverse problems
A Spantini, A Solonen, T Cui, J Martin, L Tenorio, Y Marzouk
SIAM Journal on Scientific Computing 37 (6), A2451-A2487, 2015
1072015
A Stein variational Newton method
G Detommaso, T Cui, A Spantini, Y Marzouk, R Scheichl
arXiv preprint arXiv:1806.03085, 2018
722018
Inference via low-dimensional couplings
A Spantini, D Bigoni, Y Marzouk
The Journal of Machine Learning Research 19 (1), 2639--2709, 2018
712018
Certified dimension reduction in nonlinear Bayesian inverse problems
O Zahm, T Cui, K Law, A Spantini, Y Marzouk
arXiv preprint arXiv:1807.03712, 2018
372018
Goal-oriented optimal approximations of Bayesian linear inverse problems
A Spantini, T Cui, K Willcox, L Tenorio, Y Marzouk
SIAM Journal on Scientific Computing 39 (5), S167-S196, 2017
212017
Coupling techniques for nonlinear ensemble filtering
A Spantini, R Baptista, Y Marzouk
arXiv preprint arXiv:1907.00389, 2019
152019
On the low-dimensional structure of Bayesian inference
A Spantini
Massachusetts Institute of Technology, 2017
42017
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Articles 1–9