Valentin De Bortoli

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 68

Top Topics

Diffusion Model

Maximum A Posteriori Estimation

Diffusion Process

Top Venues

SIAM J. Imaging Sci.

Publications

Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek Kamilov
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. ICLR (2024)
Valentin De Bortoli, Michael J. Hutchinson, Peter Wirnsberger, Arnaud Doucet
Target Score Matching. CoRR (2024)
Giulio Biroli, Tony Bonnaire, Valentin De Bortoli, Marc Mézard
Dynamical Regimes of Diffusion Models. CoRR (2024)
Pierre Marion, Anna Korba, Peter Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet
Implicit Diffusion: Efficient Optimization through Stochastic Sampling. CoRR (2024)
Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
Particle Denoising Diffusion Sampler. CoRR (2024)
Alexandre Galashov, Valentin De Bortoli, Arthur Gretton
Deep MMD Gradient Flow without adversarial training. CoRR (2024)
Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. ICLR (2024)
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. ICLR (2024)
Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
Linear Convergence Bounds for Diffusion Models via Stochastic Localization. CoRR (2023)
Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael Hutchinson
Diffusion Models for Constrained Domains. CoRR (2023)
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet
Trans-Dimensional Generative Modeling via Jump Diffusion Models. NeurIPS (2023)
Emile Mathieu, Vincent Dutordoir, Michael J. Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner
Geometric Neural Diffusion Processes. CoRR (2023)
Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson
Diffusion Models for Constrained Domains. Trans. Mach. Learn. Res. 2023 (2023)
Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli
Unbalanced Diffusion Schrödinger Bridge. CoRR (2023)
Emile Mathieu, Vincent Dutordoir, Michael Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner
Geometric Neural Diffusion Processes. NeurIPS (2023)
Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
SE(3) diffusion model with application to protein backbone generation. ICML (2023)
Valentin De Bortoli, Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Weilie Nie
Augmented Bridge Matching. CoRR (2023)
Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek S. Kamilov
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. CoRR (2023)
Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
Diffusion Schrödinger Bridge Matching. NeurIPS (2023)
Nic Fishman, Leo Klarner, Emile Mathieu, Michael Hutchinson, Valentin De Bortoli
Metropolis Sampling for Constrained Diffusion Models. NeurIPS (2023)
Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli
Metropolis Sampling for Constrained Diffusion Models. CoRR (2023)
Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters. CoRR (2023)
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet
Trans-Dimensional Generative Modeling via Jump Diffusion Models. CoRR (2023)
Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
Diffusion Schrödinger Bridge Matching. CoRR (2023)
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. CoRR (2023)
Maxence Noble, Valentin De Bortoli, Alain Durmus
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo. NeurIPS (2023)
Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
SE(3) diffusion model with application to protein backbone generation. CoRR (2023)
Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra
On Maximum a Posteriori Estimation with Plug & Play Priors and Stochastic Gradient Descent. J. Math. Imaging Vis. 65 (1) (2023)
Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters. NeurIPS (2023)
Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
Conditional simulation using diffusion Schrödinger bridges. UAI (2022)
Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
A Continuous Time Framework for Discrete Denoising Models. CoRR (2022)
Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux
Can Push-forward Generative Models Fit Multimodal Distributions? NeurIPS (2022)
James Thornton, Michael Hutchinson, Emile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet
Riemannian Diffusion Schrödinger Bridge. CoRR (2022)
Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie. SIAM J. Imaging Sci. 15 (2) (2022)
Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux
Can Push-forward Generative Models Fit Multimodal Distributions? CoRR (2022)
Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat
Wavelet Score-Based Generative Modeling. NeurIPS (2022)
Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet
A Continuous Time Framework for Discrete Denoising Models. NeurIPS (2022)
Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
Conditional Simulation Using Diffusion Schrödinger Bridges. CoRR (2022)
Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent. CoRR (2022)
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
Riemannian Score-Based Generative Modeling. CoRR (2022)
Francesca R. Crucinio, Valentin De Bortoli, Arnaud Doucet, Adam M. Johansen
Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows. CoRR (2022)
Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat
Wavelet Score-Based Generative Modeling. CoRR (2022)
Angus Phillips, Thomas Seror, Michael Hutchinson, Valentin De Bortoli, Arnaud Doucet, Emile Mathieu
Spectral Diffusion Processes. CoRR (2022)
Valentin De Bortoli
Convergence of denoising diffusion models under the manifold hypothesis. CoRR (2022)
Maxence Noble, Valentin De Bortoli, Alain Durmus
Barrier Hamiltonian Monte Carlo. CoRR (2022)
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
From Denoising Diffusions to Denoising Markov Models. CoRR (2022)
Valentin De Bortoli
Convergence of denoising diffusion models under the manifold hypothesis. Trans. Mach. Learn. Res. 2022 (2022)
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
Riemannian Score-Based Generative Modelling. NeurIPS (2022)
Xavier Fontaine, Valentin De Bortoli, Alain Durmus
Convergence rates and approximation results for SGD and its continuous-time counterpart. COLT (2021)
Valentin De Bortoli, Arnaud Doucet, Jeremy Heng, James Thornton
Simulating Diffusion Bridges with Score Matching. CoRR (2021)
Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie. CoRR (2021)
Valentin De Bortoli, Agnès Desolneux
On quantitative Laplace-type convergence results for some exponential probability measures, with two applications. CoRR (2021)
Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling. CoRR (2021)
George Deligiannidis, Valentin De Bortoli, Arnaud Doucet
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure. CoRR (2021)
Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire
Maximum Entropy Methods for Texture Synthesis: Theory and Practice. SIAM J. Math. Data Sci. 3 (1) (2021)
Valentin De Bortoli, Alain Durmus, Marcelo Pereyra, Ana Fernandez Vidal
Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Stat. Comput. 31 (3) (2021)
Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling. NeurIPS (2021)
Kimia Nadjahi, Valentin De Bortoli, Alain Durmus, Roland Badeau, Umut Simsekli
Approximate Bayesian Computation with the Sliced-Wasserstein Distance. ICASSP (2020)
Ana Fernandez Vidal, Valentin De Bortoli, Marcelo Pereyra, Alain Durmus
Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments. SIAM J. Imaging Sci. 13 (4) (2020)
Valentin De Bortoli, Alain Durmus, Xavier Fontaine, Umut Simsekli
Quantitative Propagation of Chaos for SGD in Wide Neural Networks. CoRR (2020)
Valentin De Bortoli, Alain Durmus, Marcelo Pereyra, Ana Fernandez Vidal
Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis. SIAM J. Imaging Sci. 13 (4) (2020)
Valentin De Bortoli, Alain Durmus, Xavier Fontaine, Umut Simsekli
Quantitative Propagation of Chaos for SGD in Wide Neural Networks. NeurIPS (2020)
Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire
Patch Redundancy in Images: A Statistical Testing Framework and Some Applications. SIAM J. Imaging Sci. 12 (2) (2019)
Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire
Macrocanonical Models for Texture Synthesis. CoRR (2019)
Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire
Macrocanonical Models for Texture Synthesis. SSVM (2019)
Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire
Maximum entropy methods for texture synthesis: theory and practice. CoRR (2019)
Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire
Patch redundancy in images: a statistical testing framework and some applications. CoRR (2019)
Yuan Huang, Valentin De Bortoli, Fugen Zhou, Jérôme Gilles
Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets. IET Image Process. 12 (9) (2018)