Daniele Bigoni
Daniele Bigoni
Post doctoral Associate at Massachusetts Institute of Technology
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Inference via low-dimensional couplings
A Spantini, D Bigoni, Y Marzouk
The Journal of Machine Learning Research 19 (1), 2639-2709, 2018
662018
Spectral tensor-train decomposition
D Bigoni, AP Engsig-Karup, YM Marzouk
SIAM Journal on Scientific Computing 38 (4), A2405-A2439, 2016
582016
A stabilised nodal spectral element method for fully nonlinear water waves
AP Engsig-Karup, C Eskilsson, D Bigoni
Journal of Computational Physics 318, 1-21, 2016
442016
Sensitivity analysis of the critical speed in railway vehicle dynamics
D Bigoni, H True, AP Engsig-Karup
Vehicle System Dynamics 52 (sup1), 272-286, 2014
252014
On the numerical and computational aspects of non-smoothnesses that occur in railway vehicle dynamics
H True, AP Engsig-Karup, D Bigoni
Mathematics and Computers in Simulation 95, 78-97, 2014
252014
Efficient uncertainty quantification of a fully nonlinear and dispersive water wave model with random inputs
D Bigoni, AP Engsig-Karup, C Eskilsson
Journal of Engineering Mathematics 101 (1), 87-113, 2016
182016
Greedy inference with layers of lazy maps
D Bigoni, O Zahm, A Spantini, Y Marzouk
162019
Uncertainty quantification with applications to engineering problems
D Bigoni
Technical University of Denmark, 2015
152015
Greedy inference with structure-exploiting lazy maps
M Brennan, D Bigoni, O Zahm, A Spantini, Y Marzouk
Advances in Neural Information Processing Systems 33, 2020
92020
On the computation of monotone transports
D Bigoni, A Spantini, Y Marzouk
preparation, 2019
72019
Unstructured spectral element model for dispersive and nonlinear wave propagation
AP Engsig-Karup, C Eskilsson, D Bigoni
The 26th International Ocean and Polar Engineering Conference, 2016
72016
Comparison of classical and modern uncertainty quantification methods for the calculation of critical speeds in railway vehicle dynamics
D Bigoni, AP Engsig-Karup, H True
13th mini conference on vehicle system dynamics, identification and anomalies, 2012
72012
Curving Dynamics in High Speed Trains
D Bigoni
Technical University of Denmark, DTU Informatics, Kgs. Lyngby, Denmark, 2011
52011
Data-driven forward discretizations for Bayesian inversion
D Bigoni, Y Chen, NG Trillos, Y Marzouk, D Sanz-Alonso
Inverse Problems 36 (10), 105008, 2020
42020
Adaptive construction of measure transports for Bayesian inference
D Bigoni, A Spantini, Y Marzouk
NIPS workshop on Approximate Inference, 2016
42016
Variational inference via decomposable transports: Algorithms for Bayesian filtering and smoothing
A Spantini, D Bigoni, YM Marzouk
Proceedings of the 30th Conference on Neural Information Processing Systems, 2016
32016
Global Sensitivity Analysis of Railway Vehicle Dynamics on Curved Tracks
D Bigoni, AP Engisg-Karup, H True
Engineering Systems Design and Analysis 45844, V002T07A023, 2014
32014
Modern uncertainty quantification methods in railroad vehicle dynamics
D Bigoni, AP Engsig-Karup, H True
Rail Transportation Division Conference 56116, V001T01A009, 2013
32013
Nonlinear dimension reduction for surrogate modeling using gradient information
D Bigoni, Y Marzouk, C Prieur, O Zahm
arXiv preprint arXiv:2102.10351, 2021
12021
Adaptive spectral tensor-train decomposition for the construction of surrogate models
D Bigoni, AP Engsig-Karup, YM Marzouk
SIAM Conf. Computational Science and Engineering (SIAM CSE, 2015, 2015
12015
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