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Laumont, De Bortoli, Almansa, Delon, Durmus, Pereyra
.
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
. 2021 - Submitted (journal)
De Bortoli, Desolneux
.
On quantitative Laplace-type convergence results for some exponential probability measures, with two applications
. 2021 - Submitted (journal)
De Bortoli, Doucet, Heng, Thornton
.
Simulating Diffusion Bridges with Score Matching
. 2021 - Preprint
Deligiannidis, De Bortoli, Doucet
.
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure
. 2021 - Submitted (journal).
De Bortoli, Thornton, Heng, Doucet
.
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
. 2021 - Accepted at
Neural Information Processing Systems
(conference).
Laumont, De Bortoli, Almansa, Delon, Durmus, Pereyra
.
Bayesian imagging using Plug & Play priors: when Langevin meets Tweedie
. 2021 - Submitted (journal).
de Bortoli, Desolneux, Durmus, Galerne, Leclaire
.
Maximum entropy methods for texture synthesis: theory and practice
. 2021 - Published in
SIAM Journal on Mathematics of Data Science
(journal).
De Bortoli, Durmus, Fontaine, Simsekli
.
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
. 2020 - Accepted at
Neural Information Processing Systems
(conference).
F. Vidal, De Bortoli, Pereyra, Durmus
.
Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and Experiments
. 2020 - Published in
SIAM Journal on Imaging Science
(journal).
De Bortoli, Durmus, F. Vidal, Pereyra
.
Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part II: Theoretical Analysis
. 2020 - Published in
SIAM Journal on Imaging Science
(journal).
Nadjahi, De Bortoli, Durmus, Badeau, Simsekli
.
Approximate Bayesian Computation with the Sliced-Wasserstein Distance
. 2020 - Accepted at
International Conference on Acoustics, Speech, and Signal Processing
(conference) (Best Student Paper Award).
De Bortoli, Desolneux, Galerne, Leclaire
.
Redundancy in Gaussian random fields
. 2020 - Published in
ESAIM: Probability and Statistics
(journal).
Fontaine, De Bortoli, Durmus
.
Continuous and Discrete-Time Analysis of Stochastic Gradient Descent for Convex and Non-Convex Functions
. 2021 - Accepted at
Conference on Learning Theory
(conference).
De Bortoli, Desolneux, Galerne, Leclaire
.
Patch redundancy in images: a statistical testing framework and some applications
. 2019 - Published in
SIAM Journal on Imaging Science
(journal).
De Bortoli, Durmus, Pereyra, F.Vidal
.
Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimation
. 2020 - Accepted at
Statistics and Computing
(journal).
De Bortoli, Durmus
.
Convergence of diffusion and their discretizations: from continuous to discrete processes and back
. 2019 - Submitted (journal).
De Bortoli, Desolneux, Galerne, Leclaire
.
Macrocanonical models for texture synthesis
. 2019 - Accepted at
Scale Space and Variational Methods in Computer Vision
(conference).
Huang, De Bortoli, Zhou, Gilles
.
Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets
. 2018 - Published in
IET
(journal).
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