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, A Spantini, Y Marzouk, R Scheichl
NeurIPS 2018, 2018
722018
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
212019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
J Kruse, G Detommaso, R Scheichl, U Köthe
AAAI-21, 2019
19*2019
Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems
T Cui, G Detommaso, R Scheichl
arXiv preprint arXiv:1910.12431, 2019
72019
Stein variational online changepoint detection with applications to Hawkes processes and neural networks
G Detommaso, H Hoitzing, T Cui, A Alamir
ICML 2019 (Workshop), 2019
32019
Causal Bias Quantification for Continuous Treatment
G Detommaso, M Brückner, P Schulz, V Chernozhukov
arXiv preprint arXiv:2106.09762, 2021
2021
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Articles 1–6