| 2025 | AISTATS | Implicit Diffusion: Efficient optimization through stochastic sampling. | Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-Lpez, Courtney Paquette, Quentin Berthet |
| 2025 | ALT | Generalisation under gradient descent via deterministic PAC-Bayes. | Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet |
| 2025 | ICML | Accelerated Diffusion Models via Speculative Sampling. | Valentin De Bortoli, Alexandre Galashov, Arthur Gretton, Arnaud Doucet |
| 2025 | ICML | Distributional Diffusion Models with Scoring Rules. | Valentin De Bortoli, Alexandre Galashov, J. Swaroop Guntupalli, Guangyao Zhou, Kevin Patrick Murphy, Arthur Gretton, Arnaud Doucet |
| 2025 | ICML | Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. | Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Aln Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov |
| 2024 | ICLR | Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. | Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis |
| 2024 | ICML | Particle Denoising Diffusion Sampler. | Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet |
| 2023 | ALT | Wide stochastic networks: Gaussian limit and PAC-Bayesian training. | Eugenio Clerico, George Deligiannidis, Arnaud Doucet |
| 2023 | ICLR | Denoising Diffusion Samplers. | Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet |
| 2023 | ICML | Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. | Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl |
| 2023 | ICML | SE(3) diffusion model with application to protein backbone generation. | Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola |
| 2022 | AISTATS | On PAC-Bayesian reconstruction guarantees for VAEs. | Badr-Eddine Chrief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj |
| 2022 | AISTATS | Conditionally Gaussian PAC-Bayes. | Eugenio Clerico, George Deligiannidis, Arnaud Doucet |
| 2022 | AISTATS | Generative Models as Distributions of Functions. | Emilien Dupont, Yee Whye Teh, Arnaud Doucet |
| 2022 | COLT | Chained generalisation bounds. | Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet |
| 2022 | CoRL | Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. | Angad Singh, Omar Makhlouf, Maximilian Igl, Joo V. Messias, Arnaud Doucet, Shimon Whiteson |
| 2022 | ICLR | Learning Optimal Conformal Classifiers. | David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet |
| 2022 | ICML | Continual Repeated Annealed Flow Transport Monte Carlo. | Alexander G. de G. Matthews, Michael Arbel, Danilo Jimenez Rezende, Arnaud Doucet |
| 2022 | ICML | Importance Weighted Kernel Bayes' Rule. | Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton |
| 2022 | UAI | Conditional simulation using diffusion Schrdinger bridges. | Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet |
| 2022 | UAI | Mitigating statistical bias within differentially private synthetic data. | Sahra Ghalebikesabi, Harry Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes |
| 2021 | AISTATS | Stable ResNet. | Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau |
| 2021 | ICLR | Robust Pruning at Initialization. | Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh |
| 2021 | ICLR | Learning Deep Features in Instrumental Variable Regression. | Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton |
| 2021 | ICML | Annealed Flow Transport Monte Carlo. | Michael Arbel, Alexander G. de G. Matthews, Arnaud Doucet |
| 2021 | ICML | Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. | Adrien Corenflos, James Thornton, George Deligiannidis, Arnaud Doucet |
| 2021 | ICML | Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. | Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison |
| 2021 | ICML | Monte Carlo Variational Auto-Encoders. | Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov |
| 2021 | UAI | Variational inference with continuously-indexed normalizing flows. | Anthony L. Caterini, Robert Cornish, Dino Sejdinovic, Arnaud Doucet |
| 2021 | UAI | Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. | Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet |
| 2020 | ICML | Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows. | Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet |
| 2019 | AISTATS | Unbiased Smoothing using Particle Independent Metropolis-Hastings. | Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob |
| 2019 | AISTATS | Bernoulli Race Particle Filters. | Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis |
| 2019 | ICML | Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. | Robert Cornish, Paul Vanetti, Alexandre Bouchard-Ct, George Deligiannidis, Arnaud Doucet |
| 2019 | ICML | On the Impact of the Activation function on Deep Neural Networks Training. | Soufiane Hayou, Arnaud Doucet, Judith Rousseau |
| 2019 | ICML | Replica Conditional Sequential Monte Carlo. | Alexander Y. Shestopaloff, Arnaud Doucet |
| 2019 | ISIT | Asymptotic Properties of Recursive Particle Maximum Likelihood Estimation. | Vladislav Z. B. Tadic, Arnaud Doucet |
| 2017 | ICLR | Particle Value Functions. | Chris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Arnaud Doucet, Andriy Mnih, Yee Whye Teh |
| 2016 | ICML | Interacting Particle Markov Chain Monte Carlo. | Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood |
| 2014 | ICML | Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach. | Rmi Bardenet, Arnaud Doucet, Christopher C. Holmes |
| 2014 | ICML | Fast Computation of Wasserstein Barycenters. | Marco Cuturi, Arnaud Doucet |
| 2009 | IBPRIA | Inference and Learning for Active Sensing, Experimental Design and Control. | Hendrik Kck, Matt Hoffman, Arnaud Doucet, Nando de Freitas |
| 2009 | UAI | New inference strategies for solving Markov Decision Processes using reversible jump MCMC. | Matthias Hoffman, Hendrik Kck, Nando de Freitas, Arnaud Doucet |
| 2008 | ICML | Sparse Bayesian nonparametric regression. | Francois Caron, Arnaud Doucet |
| 2007 | ICASSP | Bayesian Unsupervised Signal Classification by Dirichlet Process Mixtures of Gaussian Processes. | Edmund S. Jackson, Manuel Davy, Arnaud Doucet, William J. Fitzgerald |
| 2007 | ISIT | A Monte Carlo Algorithm for Optimal Quantization in Hidden Markov Models. | Vladislav Z. B. Tadic, Arnaud Doucet |
| 2007 | UAI | Generalized Polya Urn for Time-varying Dirichlet Process Mixtures. | Francois Caron, Manuel Davy, Arnaud Doucet |
| 2006 | FUSION | Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures. | Francois Caron, Manuel Davy, Arnaud Doucet, Emmanuel Duflos, Philippe Vanheeghe |
| 2006 | FUSION | A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration. | Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet |
| 2006 | ICASSP | Optimal Filtering For Partially Observed Point Processes Using Trans-Dimensional Sequential Monte Carlo. | Arnaud Doucet, Luis Montesano, Ajay Jasra |
| 2006 | ICASSP | Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo. | Adam M. Johansen, Arnaud Doucet, Manuel Davy |
| 2006 | ICASSP | Particle Filter as A Controlled Markov Chain For On-Line Parameter Estimation in General State Space Models. | George Poyiadjis, Sumeetpal S. Singh, Arnaud Doucet |
| 2006 | ICML | Fast particle smoothing: if I had a million particles. | Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang |
| 2006 | SIGGRAPH | Sequential sampling for dynamic environment maps. | Abhijeet Ghosh, Arnaud Doucet, Wolfgang Heidrich |
| 2005 | ICASSP | Space alternating data augmentation: application to finite mixture of Gaussians and speaker recognition. | Arnaud Doucet, Stphane Sncal, Tomoko Matsui |
| 2005 | ICASSP | Particle methods for optimal filter derivative: application to parameter estimation. | George Poyiadjis, Arnaud Doucet, Sumeetpal S. Singh |
| 2005 | ICML | Adapting two-class support vector classification methods to many class problems. | Simon I. Hill, Arnaud Doucet |
| 2005 | UAI | Toward Practical N2 Monte Carlo: the Marginal Particle Filter. | Mike Klaas, Nando de Freitas, Arnaud Doucet |
| 2004 | ICASSP | A Rao-Blackwellized particle filter for INS/GPS integration. | Audrey Giremus, Arnaud Doucet, Vincent Calmettes, Jean-Yves Tourneret |
| 2004 | ISIT | The cross-entropy method for blind multiuser detection. | Zaifei Liu, Arnaud Doucet, Sumeetpal S. Singh |
| 2003 | ICASSP | Online expectation-maximization type algorithms for parameter estimation in general state space models. | Christophe Andrieu, Arnaud Doucet |
| 2003 | ICASSP | Optimisation of particle filters using simultaneous perturbation stochastic approximation. | Bao Ling Chan, Arnaud Doucet, Vladislav Z. B. Tadic |
| 2003 | ICASSP | Particle filtering for joint symbol and parameter estimation in DS spread spectrum systems. | Elena Punskaya, Arnaud Doucet, William J. Fitzgerald |
| 2003 | ICCV | Maintaining Multi-Modality through Mixture Tracking. | Jaco Vermaak, Arnaud Doucet, Patrick Prez |
| 2002 | ICARCV | A policy gradient method for SMDPs with application to call admission control. | Sumetpal Singh, Vladislav Z. B. Tadic, Arnaud Doucet |
| 2002 | ICASSP | Efficient particle filtering for Jump Markov Systems. | Christophe Andrieu, Manuel Davy, Arnaud Doucet |
| 2002 | ICML | Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo. | Shien-Shin Tham, Arnaud Doucet, Kotagiri Ramamohanarao |
| 2001 | CEC | Convergence properties of Bayesian evolutionary algorithms with population size greater than 1. | Si-Eun Lee, Byoung-Tak Zhang, Arnaud Doucet |
| 2000 | ICASSP | On-line non-stationary ICA using mixture models. | A. Ahmed, Christophe Andrieu, Arnaud Doucet, Peter J. W. Rayner |
| 2000 | ICASSP | Markov chain Monte Carlo data association for target tracking. | Niclas Bergman, Arnaud Doucet |
| 2000 | ICASSP | Monte Carlo filtering and smoothing with application to time-varying spectral estimation. | Arnaud Doucet, Simon J. Godsill, Mike West |
| 2000 | ICASSP | Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels. | Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald |
| 2000 | Interspeech | Particle filtering for non-stationary speech modelling and enhancement. | Jaco Vermaak, Christophe Andrieu, Arnaud Doucet |
| 2000 | UAI | Reversible Jump MCMC Simulated Annealing for Neural Networks. | Christophe Andrieu, Nando de Freitas, Arnaud Doucet |
| 2000 | UAI | Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. | Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart Russell |
| 1999 | ICASSP | Iterative algorithms for optimal state estimation of jump Markov linear systems. | Arnaud Doucet, Christophe Andrieu |
| 1999 | ICASSP | Marginal MAP estimation using Markov chain Monte Carlo. | Christian P. Robert, Arnaud Doucet, Simon J. Godsill |
| 1998 | ICASSP | Joint Bayesian detection and estimation of sinusoids embedded in noise. | Christophe Andrieu, Arnaud Doucet, Patrick Duvaut |
| 1996 | ICASSP | Fully Bayesian analysis of conditionally linear Gaussian state space models. | Arnaud Doucet, Patrick Duvaut |
| 1996 | ICASSP | Instantaneous frequency estimation: Bayesian approaches versus reassignment-application to gravitational waves. | Patrick Duvaut, Arnaud Doucet, Christophe Veaux, Patrick Flandrin |