Artikelen met mandaten voor openbare toegang - Arnaud DoucetMeer informatie
Ergens beschikbaar: 65
Controleren
Fast computation of Wasserstein barycenters
M Cuturi, A Doucet
Proceedings of the 31st International Conference on Machine Learning, 685-693, 2014
Mandaten: UK Engineering and Physical Sciences Research Council
Controleren
Augmented neural ODEs
E Dupont, A Doucet, Y Teh
Advances in Neural Information Processing Systems 32 (NIPS 2019) 32 (2019), 2019
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research …
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On particle methods for parameter estimation in state-space models
N Kantas, A Doucet, SS Singh, JM Maciejowski, N Chopin
Statistical Science 30 (3), 328--351, 2015
Mandaten: UK Engineering and Physical Sciences Research Council
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Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
A Doucet, M Pitt, G Deligiannidis, R Kohn
Biometrika 102 (2), 295-313, 2015
Mandaten: Australian Research Council, UK Engineering and Physical Sciences Research …
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Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
V De Bortoli, J Thornton, J Heng, A Doucet
NeurIPS 2021, 2021
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research …
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On Markov chain Monte Carlo methods for tall data
R Bardenet, A Doucet, C Holmes
Journal of Machine Learning Research 18 (47), 1--43, 2017
Mandaten: UK Engineering and Physical Sciences Research Council, UK Medical Research …
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The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method
A Bouchard-Côté, SJ Vollmer, A Doucet
Journal of the American Statistical Association 113 (522), 855--867, 2018
Mandaten: US Department of Defense, Natural Sciences and Engineering Research Council …
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Filtering Variational Objectives
CJ Maddison, D Lawson, G Tucker, N Heess, M Norouzi, A Mnih, ...
Advances in Neural Information Processing Systems (NIPS), 2017
Mandaten: UK Engineering and Physical Sciences Research Council, European Commission
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Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach.
R Bardenet, A Doucet, CC Holmes
Proceedings of the 31st International Conference on Machine Learning, 405-413, 2014
Mandaten: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Controleren
Riemannian score-based generative modeling
V De Bortoli, E Mathieu, M Hutchinson, J Thornton, YW Teh, A Doucet
NeurIPS 2022, 2022
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research Council
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The Correlated Pseudo-Marginal Method
G Deligiannidis, A Doucet, MK Pitt
Journal of the Royal Statistical Society B 80 (5), 839--870, 2018
Mandaten: UK Engineering and Physical Sciences Research Council
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On uncertainty quantification in hydrogeology and hydrogeophysics
N Linde, D Ginsbourger, J Irving, F Nobile, A Doucet
Advances in Water Resources 110, 166-181, 2017
Mandaten: US Department of Energy, Swiss National Science Foundation
Controleren
Relaxing bijectivity constraints with continuously indexed normalising flows
R Cornish, AL Caterini, G Deligiannidis, A Doucet
ICML 2020, 2020
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research Council
Controleren
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Y Du, C Durkan, R Strudel, JB Tenenbaum, S Dieleman, R Fergus, ...
ICML 2023, 2023
Mandaten: US National Science Foundation, US Department of Defense
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A Continuous Time Framework for Discrete Denoising Models
A Campbell, J Benton, V De Bortoli, T Rainforth, G Deligiannidis, ...
NeurIPS 2022, 2022
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research Council
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Nearly d-linear convergence bounds for diffusion models via stochastic localization
J Benton, VD Bortoli, A Doucet, G Deligiannidis
ICLR 2024, 2024
Mandaten: UK Engineering and Physical Sciences Research Council
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Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
A Corenflos, J Thornton, G Deligiannidis, A Doucet
ICML 2021, 2021
Mandaten: Academy of Finland, UK Engineering and Physical Sciences Research Council
Controleren
Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC Scheme
S Syed, A Bouchard-Côté, G Deligiannidis, A Doucet
Journal of the Royal Statistical Society Series B 84 (2), 321--350, 2022
Mandaten: Natural Sciences and Engineering Research Council of Canada, UK Engineering …
Controleren
Diffusion Schrödinger Bridge Matching
Y Shi, V De Bortoli, A Campbell, A Doucet
NeurIPS 2023, 2023
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research Council
Controleren
Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains
J Bierkens, A Bouchard-Côté, A Doucet, AB Duncan, P Fearnhead, ...
Statistics & Probability Letters 136, 148-154, 2018
Mandaten: UK Engineering and Physical Sciences Research Council
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