Dario Azzimonti
Dario Azzimonti
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Title
Cited by
Cited by
Year
Quantifying uncertainties on excursion sets under a Gaussian random field prior
D Azzimonti, J Bect, C Chevalier, D Ginsbourger
SIAM/ASA J. Uncertainty Quantification 4 (1), 850-874, 2016
372016
Optical properties of deposit models for paints: full-fields FFT computations and representative volume element
DF Azzimonti, F Willot, D Jeulin
Journal of Modern Optics 60 (7), 519-528, 2013
232013
Adaptive design of experiments for conservative estimation of excursion sets
D Azzimonti, D Ginsbourger, C Chevalier, J Bect, Y Richet
Technometrics 63 (1), 13-26, 2021
222021
Estimating orthant probabilities of high dimensional Gaussian vectors with an application to set estimation
D Azzimonti, D Ginsbourger
Journal of Computational and Graphical Statistics 27 (2), 255-267, 2018
152018
Reducing probes for quality of transmission estimation in optical networks with active learning
D Azzimonti, C Rottondi, M Tornatore
Journal of Optical Communications and Networking 12 (1), A38-A48, 2020
112020
Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks
D Azzimonti, C Rottondi, M Tornatore
2019 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2019
102019
Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding
D Azzimonti, D Ginsbourger, J Rohmer, D Idier
Technometrics 61 (4), 474-493, 2019
92019
Contributions to Bayesian Set Estimation Relying on Random Field Priors
DF Azzimonti
Philosophisch-naturwissenschaftliche Fakultät der Universität Bern, 2016
82016
KrigInv: Kriging-based Inversion for Deterministic and Noisy Computer Experiments
C Chevalier, V Picheny, D Ginsbourger, D Azzimonti
R package version 1, 113, 2012
82012
Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets
D Azzimonti, C Rottondi, A Giusti, M Tornatore, A Bianco
Optical Fiber Communication Conference, M4E. 1, 2020
72020
Skew Gaussian processes for classification
A Benavoli, D Azzimonti, D Piga
Machine Learning 109 (9), 1877-1902, 2020
52020
Recursive estimation for sparse Gaussian process regression
M Schürch, D Azzimonti, A Benavoli, M Zaffalon
Automatica 120, 109127, 2020
32020
Reconciling Hierarchical Forecasts via Bayes' Rule
G Corani, D Azzimonti, JPSC Augusto, M Zaffalon
arXiv preprint arXiv:1906.03105, 2019
22019
Conservative estimates of excursion sets in reliability engineering
D Azzimonti, D Ginsbourger, C Chevalier, Y Richet
47èmes Journées de Statistique de la SFdS, 2015
22015
Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets
D Azzimonti, C Rottondi, A Giusti, M Tornatore, A Bianco
IEEE/OSA Journal of Optical Communications and Networking 13 (1), A56-A66, 2020
12020
Preferential Bayesian optimisation with Skew Gaussian Processes
A Benavoli, D Azzimonti, D Piga
arXiv preprint arXiv:2008.06677, 2020
12020
Quantifying and reducing uncertainties on excursion sets under a gaussian random field prior
D Ginsbourger, C Chevalier, J Bect, DF Azzimonti, I Molchanov
2nd Conference of the International Society of NonParametric Statistics (ISNPS), 2014
12014
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes
A Benavoli, D Azzimonti, D Piga
arXiv preprint arXiv:2012.06846, 2020
2020
An exact kernel framework for spatio-temporal dynamics
O Szehr, D Azzimonti, L Azzimonti
arXiv preprint arXiv:2011.06848, 2020
2020
Orthogonally Decoupled Variational Fourier Features
D Azzimonti, M Schürch, A Benavoli, M Zaffalon
arXiv preprint arXiv:2007.06363, 2020
2020
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Articles 1–20