Valentin De Bortoli
Valentin De Bortoli
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stats.ox.ac.uk - Αρχική σελίδα
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Παρατίθεται από
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Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets
Y Huang, V De Bortoli, F Zhou, J Gilles
IET Image Processing 12 (9), 1626-1638, 2018
132018
Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimation
V De Bortoli, A Durmus, M Pereyra, AF Vidal
arXiv preprint arXiv:1906.12281, 2019
10*2019
Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments
AF Vidal, V De Bortoli, M Pereyra, A Durmus
SIAM Journal on Imaging Sciences 13 (4), 1945-1989, 2020
62020
Convergence of diffusions and their discretizations: from continuous to discrete processes and back
V De Bortoli, A Durmus
arXiv preprint arXiv:1904.09808, 2019
62019
Quantitative propagation of chaos for sgd in wide neural networks
V De Bortoli, A Durmus, X Fontaine, U Simsekli
arXiv preprint arXiv:2007.06352, 2020
42020
Approximate bayesian computation with the sliced-wasserstein distance
K Nadjahi, V De Bortoli, A Durmus, R Badeau, U Şimşekli
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
42020
Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis
V De Bortoli, A Durmus, M Pereyra, AF Vidal
SIAM Journal on Imaging Sciences 13 (4), 1990-2028, 2020
42020
Patch redundancy in images: a statistical testing framework and some applications
V De Bortoli, A Desolneux, B Galerne, A Leclaire
SIAM Journal on Imaging Sciences 12 (2), 893-926, 2019
42019
Continuous and discrete-time analysis of stochastic gradient descent for convex and non-convex functions
X Fontaine, V De Bortoli, A Durmus
arXiv preprint arXiv:2004.04193, 2020
32020
Maximum entropy methods for texture synthesis: theory and practice
V De Bortoli, A Desolneux, A Durmus, B Galerne, A Leclaire
SIAM Journal on Mathematics of Data Science 3 (1), 52-82, 2021
22021
Redundancy in Gaussian random fields
V De Bortoli, A Desolneux, B Galerne, A Leclaire
ESAIM: Probability and Statistics 24, 627-660, 2020
22020
Macrocanonical models for texture synthesis
V De Bortoli, A Desolneux, B Galerne, A Leclaire
International Conference on Scale Space and Variational Methods in Computer …, 2019
22019
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
R Laumont, V De Bortoli, A Almansa, J Delon, A Durmus, M Pereyra
arXiv preprint arXiv:2103.04715, 2021
12021
Efficient stochastic optimisation by unadjusted Langevin Monte Carlo
V De Bortoli, A Durmus, M Pereyra, AF Vidal
Statistics and Computing 31 (3), 1-18, 2021
2021
Statistiques non locales dans les images: modélisation, estimation et échantillonnage
V de Bortoli
Université Paris Saclay, 2020
2020
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