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author=Valentin De Bortoli;
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vdb toggle navigation vdb home publications teaching contact valentin de bortoli valentin de bortoli research scientist google deepmind biography i am a research scientist at google deepmind in london working with arnaud doucet a list of my publications with filters is available here and here is my google scholar see also my cv english contact vdebortoli google com for those interested in diffusion models with james thornton we have created a website listing papers on diffusion models please point out any missing reference interests machine learning information geometry markov chain theory optimal transport short cv research scientist 2023 now google deepmind cnrs researcher on leave 2022 now ens ulm postdoc 2020 2022 oxford university phd 2017 2020 ens paris saclay publications note that this list can be also seen and filtered here phillips seror hutchinson de bortoli doucet mathieu spectral diffusion processes 2022 submitted conference crucinio de bortoli doucet johansen solving fredholm integral equations of the first kind via wasserstein gradient flows 2022 submitted journal de bortoli convergence of denoising diffusion models under the manifold hypothesis 2022 accepted at tmlr journal thornton hutchinson mathieu de bortoli teh doucet riemannian diffusion schrödinger bridges 2022 accepted at icml conference shi de bortoli deligiannidis doucet conditional simulation using diffusion schrödinger bridges 2022 accepted at uai conference campbell benton de bortoli rainforth deligiannidis doucet a continuous time framework for discrete denoising models 2022 accepted at neurips conference salmona delon desolneux de bortoli can push forward generative models fit multimodal distributions 2022 accepted at neurips conference guth coste de bortoli mallat wavelet score based generative modeling 2022 accepted at neurips conference de bortoli mathieu hutchinson thornton teh doucet riemannian score based generative modeling 2022 accepted at neurips conference laumont de bortoli almansa delon durmus pereyra maximum a posteriori estimation with plug play priors and stochastic gradient descent 2022 accepted at jmiv journal de bortoli desolneux on quantitative laplace type convergence results for some exponential probability measures with two applications 2021 accepted at jmlr journal de bortoli doucet heng thornton simulating diffusion bridges with score matching 2021 submitted journal 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 accepted at siam imaging science 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 colt 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 teaching 2017 2018 2021 2022 l3 agrégation m1 m2 generative modeling mva course m2 generative modeling 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 contact vdebortoli google com 29 st giles oxford ox1 uk 2017 de bortoli powered by the academic theme for hugo cite copy download