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ORCIDValentin De Bortoli
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2020 – today
- 2024
[c21]Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis:
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. ICLR 2024- [c20]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 - [c19]Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek Kamilov:
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. ICLR 2024 - [c18]Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Particle Denoising Diffusion Sampler. ICML 2024 - [i40]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 abs/2402.05468 (2024) - [i39]Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis
, Arnaud Doucet:
Particle Denoising Diffusion Sampler. CoRR abs/2402.06320 (2024) - [i38]Valentin De Bortoli, Michael J. Hutchinson, Peter Wirnsberger, Arnaud Doucet:
Target Score Matching. CoRR abs/2402.08667 (2024) - [i37]Giulio Biroli, Tony Bonnaire, Valentin De Bortoli, Marc Mézard:
Dynamical Regimes of Diffusion Models. CoRR abs/2402.18491 (2024) - [i36]Alexandre Galashov, Valentin De Bortoli, Arthur Gretton:
Deep MMD Gradient Flow without adversarial training. CoRR abs/2405.06780 (2024) - [i35]Valentin De Bortoli, Iryna Korshunova, Andriy Mnih, Arnaud Doucet:
Schrödinger Bridge Flow for Unpaired Data Translation. CoRR abs/2409.09347 (2024) - [i34]Yuan Huang, Valentin De Bortoli, Fugen Zhou, Jérôme Gilles:
Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets. CoRR abs/2410.19191 (2024) - 2023
- [j10]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): 140-163 (2023) - [j9]Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson:
Diffusion Models for Constrained Domains. Trans. Mach. Learn. Res. 2023 (2023) - [c17]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: 40001-40039 - [c16]Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet:
Diffusion Schrödinger Bridge Matching. NeurIPS 2023 - [c15]Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet:
Trans-Dimensional Generative Modeling via Jump Diffusion Models. NeurIPS 2023 - [c14]Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli:
Metropolis Sampling for Constrained Diffusion Models. NeurIPS 2023 - [c13]Emile Mathieu, Vincent Dutordoir, Michael J. Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner:
Geometric Neural Diffusion Processes. NeurIPS 2023 - [c12]Maxence Noble, Valentin De Bortoli, Alain Durmus:
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo. NeurIPS 2023 - [c11]Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus:
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters. NeurIPS 2023 - [i33]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 abs/2302.02277 (2023) - [i32]Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet:
Diffusion Schrödinger Bridge Matching. CoRR abs/2303.16852 (2023) - [i31]Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson:
Diffusion Models for Constrained Domains. CoRR abs/2304.05364 (2023) - [i30]Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet:
Trans-Dimensional Generative Modeling via Jump Diffusion Models. CoRR abs/2305.16261 (2023) - [i29]Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus:
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters. CoRR abs/2305.16557 (2023) - [i28]Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli:
Unbalanced Diffusion Schrödinger Bridge. CoRR abs/2306.09099 (2023) - [i27]Emile Mathieu, Vincent Dutordoir, Michael J. Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner:
Geometric Neural Diffusion Processes. CoRR abs/2307.05431 (2023) - [i26]Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli:
Metropolis Sampling for Constrained Diffusion Models. CoRR abs/2307.05439 (2023) - [i25]Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis:
Linear Convergence Bounds for Diffusion Models via Stochastic Localization. CoRR abs/2308.03686 (2023) - [i24]Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek S. Kamilov:
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. CoRR abs/2310.03546 (2023) - [i23]Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola:
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. CoRR abs/2310.13102 (2023) - [i22]Valentin De Bortoli, Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Weilie Nie:
Augmented Bridge Matching. CoRR abs/2311.06978 (2023) - 2022
- [j8]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): 701-737 (2022) - [j7]Valentin De Bortoli:
Convergence of denoising diffusion models under the manifold hypothesis. Trans. Mach. Learn. Res. 2022 (2022) - [c10]Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet:
Riemannian Score-Based Generative Modelling. NeurIPS 2022 - [c9]Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet:
A Continuous Time Framework for Discrete Denoising Models. NeurIPS 2022 - [c8]Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat:
Wavelet Score-Based Generative Modeling. NeurIPS 2022 - [c7]Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux:
Can Push-forward Generative Models Fit Multimodal Distributions? NeurIPS 2022 - [c6]Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Conditional simulation using diffusion Schrödinger bridges. UAI 2022: 1792-1802 - [i21]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 abs/2201.06133 (2022) - [i20]Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet:
Riemannian Score-Based Generative Modeling. CoRR abs/2202.02763 (2022) - [i19]Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Conditional Simulation Using Diffusion Schrödinger Bridges. CoRR abs/2202.13460 (2022) - [i18]Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet:
A Continuous Time Framework for Discrete Denoising Models. CoRR abs/2205.14987 (2022) - [i17]Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux:
Can Push-forward Generative Models Fit Multimodal Distributions? CoRR abs/2206.14476 (2022) - [i16]James Thornton, Michael J. Hutchinson, Emile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet:
Riemannian Diffusion Schrödinger Bridge. CoRR abs/2207.03024 (2022) - [i15]Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat:
Wavelet Score-Based Generative Modeling. CoRR abs/2208.05003 (2022) - [i14]Valentin De Bortoli:
Convergence of denoising diffusion models under the manifold hypothesis. CoRR abs/2208.05314 (2022) - [i13]Francesca R. Crucinio, Valentin De Bortoli, Arnaud Doucet, Adam M. Johansen:
Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows. CoRR abs/2209.09936 (2022) - [i12]Angus Phillips, Thomas Seror, Michael J. Hutchinson, Valentin De Bortoli, Arnaud Doucet, Emile Mathieu:
Spectral Diffusion Processes. CoRR abs/2209.14125 (2022) - [i11]Maxence Noble, Valentin De Bortoli, Alain Durmus:
Barrier Hamiltonian Monte Carlo. CoRR abs/2210.11925 (2022) - [i10]Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
From Denoising Diffusions to Denoising Markov Models. CoRR abs/2211.03595 (2022) - 2021
- [j6]Valentin De Bortoli, Alain Durmus, Marcelo Pereyra, Ana Fernandez Vidal:
Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Stat. Comput. 31(3): 29 (2021) - [j5]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): 52-82 (2021) - [c5]Xavier Fontaine, Valentin De Bortoli, Alain Durmus:
Convergence rates and approximation results for SGD and its continuous-time counterpart. COLT 2021: 1965-2058 - [c4]Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet:
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling. NeurIPS 2021: 17695-17709 - [i9]Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra:
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie. CoRR abs/2103.04715 (2021) - [i8]Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet:
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling. CoRR abs/2106.01357 (2021) - [i7]George Deligiannidis, Valentin De Bortoli, Arnaud Doucet:
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure. CoRR abs/2108.08129 (2021) - [i6]Valentin De Bortoli, Agnès Desolneux:
On quantitative Laplace-type convergence results for some exponential probability measures, with two applications. CoRR abs/2110.12922 (2021) - [i5]Valentin De Bortoli, Arnaud Doucet, Jeremy Heng, James Thornton:
Simulating Diffusion Bridges with Score Matching. CoRR abs/2111.07243 (2021) - 2020
- [b1]Valentin De Bortoli:
Statistiques non locales dans les images: modélisation, estimation et échantillonnage. (Non-local statistics in images: modelisation, estimation and sampling). University of Paris-Saclay, France, 2020 - [j4]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): 1945-1989 (2020) - [j3]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): 1990-2028 (2020) - [c3]Kimia Nadjahi, Valentin De Bortoli, Alain Durmus, Roland Badeau, Umut Simsekli:
Approximate Bayesian Computation with the Sliced-Wasserstein Distance. ICASSP 2020: 5470-5474 - [c2]Valentin De Bortoli, Alain Durmus, Xavier Fontaine, Umut Simsekli:
Quantitative Propagation of Chaos for SGD in Wide Neural Networks. NeurIPS 2020 - [i4]Valentin De Bortoli, Alain Durmus, Xavier Fontaine, Umut Simsekli:
Quantitative Propagation of Chaos for SGD in Wide Neural Networks. CoRR abs/2007.06352 (2020)
2010 – 2019
- 2019
- [j2]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): 893-926 (2019) - [c1]Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Macrocanonical Models for Texture Synthesis. SSVM 2019: 13-24 - [i3]Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Macrocanonical Models for Texture Synthesis. CoRR abs/1904.06396 (2019) - [i2]Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Patch redundancy in images: a statistical testing framework and some applications. CoRR abs/1904.06428 (2019) - [i1]Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire:
Maximum entropy methods for texture synthesis: theory and practice. CoRR abs/1912.01691 (2019) - 2018
- [j1]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): 1626-1638 (2018)
Coauthor Index
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