Gianluca Detommaso
Gianluca Detommaso
Machine Learning Scientist, Amazon
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Title
Cited by
Cited by
Year
A Stein variational Newton method
G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl
Advances in Neural Information Processing Systems, 9169-9179, 2018
352018
Continuous level Monte Carlo and sample-adaptive model hierarchies
G Detommaso, T Dodwell, R Scheichl
SIAM/ASA Journal on Uncertainty Quantification 7 (1), 93-116, 2019
92019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
J Kruse, G Detommaso, R Scheichl, U Köthe
arXiv, arXiv: 1905.10687, 2019
2*2019
Stein variational online changepoint detection with applications to Hawkes processes and neural networks
G Detommaso, H Hoitzing, T Cui, A Alamir
arXiv preprint arXiv:1901.07987, 2019
22019
Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems
T Cui, G Detommaso, R Scheichl
arXiv preprint arXiv:1910.12431, 2019
12019
Simulating Hamiltonian Dynamics
A Strehlow, R Scheichl, G Detommaso
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Articles 1–6