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 NeuRIPS (conference).
Laumont, De Bortoli, Almansa, Delon, Durmus, Pereyra.
Bayesian imaging 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 SIMODS (journal).
De Bortoli, Durmus, Fontaine, Simsekli.
Quantitative
Propagation of Chaos for SGD in Wide Neural Networks.
2020 - Accepted at NeuRIPS (conference).
F. Vidal, De Bortoli, Pereyra, Durmus.
Maximum likelihood estimation of regularisation parameters in
high-dimensional inverse problems: an empirical Bayesian. Part I: Methodology and Experiments
approach.
2020 - Published in SIIMS (journal).
De Bortoli, Durmus, F.Vidal, Pereyra.
Maximum likelihood estimation of regularisation parameters in
high-dimensional inverse problems: an empirical Bayesian. Part II: Theoretical Analysis
approach.
2020 - Published in SIIMS (journal).
Nadjahi, De Bortoli, Durmus, Badeau, Simsekli.
Approximate Bayesian Computation with the Sliced-Wasserstein Distance.
2020 - Accepted at ICASSP (conference) (Best student paper award).
De Bortoli, Desolneux, Galerne, Leclaire.
Redundancy in Gaussian random fields.
2020 - Published in ESAIM: Probability and Statistics
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.
2019 - 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).
Projects
.all
Teaching
.2017-2018
Differential Calculus
ENS Paris Saclay L3 differential calculus
Hilbert Analysis
ENS Paris Saclay agrégation Hilbert analysis
Fourier Analysis
ENS Paris Saclay agrégation Fourier analysis
Optimization
ENS Paris Saclay M1 optimization
Generative Modeling
MVA course (M2) generative modeling
Contact
- valentin.debortoli@gmail.com
- 29 St Giles', Oxford OX1, UK