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Valentin De Bortoli
Valentin De Bortoli
CNRS, ENS Ulm
Verified email at stats.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Diffusion Schrödinger bridge with applications to score-based generative modeling
V De Bortoli, J Thornton, J Heng, A Doucet
Advances in Neural Information Processing Systems 34, 17695-17709, 2021
512021
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
262020
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
222018
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
R Laumont, VD Bortoli, A Almansa, J Delon, A Durmus, M Pereyra
SIAM Journal on Imaging Sciences 15 (2), 701-737, 2022
212022
Quantitative propagation of chaos for sgd in wide neural networks
V De Bortoli, A Durmus, X Fontaine, U Simsekli
Advances in Neural Information Processing Systems 33, 278-288, 2020
192020
Riemannian score-based generative modeling
V De Bortoli, E Mathieu, M Hutchinson, J Thornton, YW Teh, A Doucet
arXiv preprint arXiv:2202.02763, 2022
172022
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
16*2021
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
152020
Convergence rates and approximation results for SGD and its continuous-time counterpart
X Fontaine, V De Bortoli, A Durmus
Conference on Learning Theory, 1965-2058, 2021
14*2021
Convergence of diffusions and their discretizations: from continuous to discrete processes and back
V De Bortoli, A Durmus
arXiv preprint arXiv:1904.09808, 2019
132019
Quantitative uniform stability of the iterative proportional fitting procedure
G Deligiannidis, V De Bortoli, A Doucet
arXiv preprint arXiv:2108.08129, 2021
102021
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
102020
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
R Laumont, V De Bortoli, A Almansa, J Delon, A Durmus, M Pereyra
arXiv preprint arXiv:2201.06133, 2022
82022
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
82019
Simulating diffusion bridges with score matching
V De Bortoli, A Doucet, J Heng, J Thornton
arXiv preprint arXiv:2111.07243, 2021
62021
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
62021
Conditional Simulation Using Diffusion Schr\" odinger Bridges
Y Shi, V De Bortoli, G Deligiannidis, A Doucet
arXiv preprint arXiv:2202.13460, 2022
52022
Convergence of denoising diffusion models under the manifold hypothesis
V De Bortoli
arXiv preprint arXiv:2208.05314, 2022
42022
A Continuous Time Framework for Discrete Denoising Models
A Campbell, J Benton, V De Bortoli, T Rainforth, G Deligiannidis, ...
arXiv preprint arXiv:2205.14987, 2022
32022
Macrocanonical models for texture synthesis
VD Bortoli, A Desolneux, B Galerne, A Leclaire
International Conference on Scale Space and Variational Methods in Computer …, 2019
32019
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Articles 1–20