Arnaud Doucet

Simon J. Godsill, Arnaud Doucet, Christian P. Robert, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Sequential Monte Carlo for maneuvering target tracking in clutter

Arnaud Doucet, Neil J. Gordon, N. Gordon, 1999, Optics & Photonics.

Sequential Bayesian Estimation And Model Selection Applied To Neural Networks

Christophe Andrieu, Arnaud Doucet, Joao F. G. De Freitas, 1999 .

Interacting sequential Monte Carlo samplers for trans-dimensional simulation

Arnaud Doucet, Ajay Jasra, Christopher C. Holmes, 2008, Comput. Stat. Data Anal..

Particle-method-based formulation of risk-sensitive filter

Arnaud Doucet, Shovan Bhaumik, Smita Sadhu, 2009, Signal Process..

Sequential Monte Carlo Methods for Optimal Filtering

Christophe Andrieu, Arnaud Doucet, E. Punskaya, 2001, Sequential Monte Carlo Methods in Practice.

Iterative algorithms for state estimation of jump Markov linear systems

Christophe Andrieu, Arnaud Doucet, A. Doucet, 2001, IEEE Trans. Signal Process..

Optimisation of particle filters using simultaneous perturbation stochastic approximation

Arnaud Doucet, Vladislav B. Tadic, Bao Ling Chan, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Markov chain Monte Carlo data association for target tracking

Arnaud Doucet, Niclas Bergman, A. Doucet, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Sparse Bayesian nonparametric regression

Arnaud Doucet, François Caron, A. Doucet, 2008, ICML '08.

Model selection by MCMC computation

Petar M. Djuric, Christophe Andrieu, Arnaud Doucet, 2001, Signal Process..

Hamiltonian Variational Auto-Encoder

Arnaud Doucet, Dino Sejdinovic, Anthony L. Caterini, 2018, NeurIPS.

SMC Samplers for Bayesian Optimal Nonlinear Design

Arnaud Doucet, Hendrik Kuck, Nando de Freitas, 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.

Distributed Self Localisation of Sensor Networks using Particle Methods

Arnaud Doucet, Nikolas Kantas, Sumeetpal S. Singh, 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.

New inference strategies for solving Markov Decision Processes using reversible jump MCMC

Nando de Freitas, Arnaud Doucet, Hendrik Kück, 2009, UAI.

Marginal maximum a posteriori estimation using Markov chain Monte Carlo

Simon J. Godsill, Arnaud Doucet, Christian P. Robert, 2002, Stat. Comput..

Channel Tracking for Relay Networks via Adaptive Particle MCMC pdf

Arnaud Doucet, Jinhong Yuan, Ido Nevat, 2010, ArXiv.

Hamiltonian Descent Methods pdf

Yee Whye Teh, Arnaud Doucet, Brendan O'Donoghue, 2018, ArXiv.

On Particle Methods for Parameter Estimation in State-Space Models

Arnaud Doucet, Sumeetpal S. Singh, Nicolas Chopin, 2014, 1412.8695.

An improved method for uniform simulation of stable minimum phase real ARMA (p,q) processes

Christophe Andrieu, Arnaud Doucet, A. Doucet, 1999, IEEE Signal Processing Letters.

Monte Carlo smoothing with application to audio signal enhancement

Simon J. Godsill, Arnaud Doucet, Mike West, 2002, IEEE Trans. Signal Process..

Efficient particle filtering for Jump Markov Systems

Christophe Andrieu, Arnaud Doucet, Manuel Davy, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

On the use and misuse of particle filtering in digital communications

Arnaud Doucet, William J. Fitzgerald, Elena Punskaya, 2002, 2002 11th European Signal Processing Conference.

Stochastic sampling algorithms for state estimation of jump Markov linear systems

Arnaud Doucet, Vikram Krishnamurthy, Andrew Logothetis, 2000, IEEE Trans. Autom. Control..

A new class of soft MIMO demodulation algorithms

Bin Dong, Arnaud Doucet, Xiaodong Wang, 2003, IEEE Trans. Signal Process..

Asynchronous Anytime Sequential Monte Carlo

Yee Whye Teh, Arnaud Doucet, Frank D. Wood, 2014, NIPS.

On Markov chain Monte Carlo methods for tall data

Arnaud Doucet, Rémi Bardenet, Christopher C. Holmes, 2015, J. Mach. Learn. Res..

Radial basis function regression using trans-dimensional sequential Monte Carlo

Simon J. Godsill, Arnaud Doucet, J. Vermaak, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Bayesian Computational Approaches to Model Selection

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2000 .

Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo

Arnaud Doucet, Adam M. Johansen, Manuel Davy, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

A particle filtering technique for Jump Markov Systems

Christophe Andrieu, Arnaud Doucet, Manuel Davy, 2002, 2002 11th European Signal Processing Conference.

Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC

Christophe Andrieu, Arnaud Doucet, A. Doucet, 1999, IEEE Trans. Signal Process..

On the utility of Metropolis-Hastings with asymmetric acceptance ratio

Christophe Andrieu, Arnaud Doucet, Sinan Yildirim, 2018, 1803.09527.

Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures

Arnaud Doucet, Manuel Davy, Emmanuel Duflos, 2007, IEEE Transactions on Signal Processing.

Sequential sampling for dynamic environment maps

Wolfgang Heidrich, Arnaud Doucet, Abhijeet Ghosh, 2006, SIGGRAPH '06.

An adaptive sequential Monte Carlo method for approximate Bayesian computation

Arnaud Doucet, Pierre Del Moral, Ajay Jasra, 2011, Statistics and Computing.

Fully Bayesian analysis of conditionally linear Gaussian state space models

Patrick Duvaut, Arnaud Doucet, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Bayesian curve fitting using MCMC with applications to signal segmentation

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2002, IEEE Trans. Signal Process..

On sequential Monte Carlo sampling methods for Bayesian filtering

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2000, Stat. Comput..

Training Dynamics of Deep Networks using Stochastic Gradient Descent via Neural Tangent Kernel pdf

Arnaud Doucet, Judith Rousseau, Soufiane Hayou, 2019, ArXiv.

A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration

Arnaud Doucet, Sumeetpal S. Singh, Nikolaos Kantas, 2006, 2006 9th International Conference on Information Fusion.

Active Policy Learning for Robot Planning and Exploration under Uncertainty

Nando de Freitas, Arnaud Doucet, José A. Castellanos, 2007, Robotics: Science and Systems.

Bayesian model selection of autoregressive processes

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2000 .

On sequential simulation-based methods for Bayesian filtering

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1998 .

European Signal Processing Conference

Christophe Andrieu, Arnaud Doucet, Manuel Davy, 2015 .

Particle methods for Bayesian modeling and enhancement of speech signals

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2002, IEEE Trans. Speech Audio Process..

Calibration and Filtering for Multi Factor Commodity Models with Seasonality: Incorporating Panel Data from Futures Contracts

Arnaud Doucet, Mark Briers, Gareth W. Peters, 2011, 1105.5850.

Analyticity of Entropy Rates of Continuous-State Hidden Markov Models

Arnaud Doucet, Vladislav Z. B. Tadic, A. Doucet, 2018, IEEE Transactions on Information Theory.

Particle methods for optimal filter derivative: application to parameter estimation

Arnaud Doucet, Sumeetpal S. Singh, George Poyiadjis, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

On solving integral equations using Markov chain Monte Carlo methods

Arnaud Doucet, Adam M. Johansen, Vladislav B. Tadic, 2010, Appl. Math. Comput..

Optimal Estimation of Amplitude and Phase Modulated Signals

Christophe Andrieu, Arnaud Doucet, A. Doucet, 2001, Monte Carlo Methods Appl..

Particle Filter as A Controlled Markov Chain For On-Line Parameter Estimation in General State Space Models

Arnaud Doucet, Sumeetpal S. Singh, George Poyiadjis, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

A boosting approach to structure learning of graphs with and without prior knowledge

Arnaud Doucet, Christopher C. Holmes, Shahzia Anjum, 2009, Bioinform..

Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models

Christophe Andrieu, Arnaud Doucet, A. Doucet, 2000, IEEE Trans. Inf. Theory.

Space alternating data augmentation: application to finite mixture of Gaussians and speaker recognition

Arnaud Doucet, Tomoko Matsui, Stéphane Sénécal, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Efficient stochastic maximum a posteriori estimation for harmonic signals

Christophe Andrieu, Arnaud Doucet, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks

Nando de Freitas, Arnaud Doucet, Kevin Murphy, 2000, UAI.

Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach

Arnaud Doucet, Rémi Bardenet, Christopher C. Holmes, 2014, ICML.

Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions

Christophe Andrieu, Arnaud Doucet, Manuel Davy, 2003, IEEE Trans. Signal Process..

A policy gradient method for SMDPs with application to call admission control

Arnaud Doucet, Vladislav B. Tadic, Sumetpal Singh, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Bayesian estimation of state-space models applied to deconvolution of Bernoulli - Gaussian processes

Patrick Duvaut, Arnaud Doucet, A. Doucet, 1997, Signal Process..

Fast particle smoothing: if I had a million particles

Nando de Freitas, Arnaud Doucet, Mike Klaas, 2006, ICML.

Particle Approximation of the Intensity Measures of a Spatial Branching Point Process Arising in Multitarget Tracking

Arnaud Doucet, Pierre Del Moral, Michele Pace, 2010, SIAM J. Control. Optim..

Fully Bayesian analysis of Hidden Markov models

Patrick Duvaut, Arnaud Doucet, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Joint Channel and Doppler Offset Estimation in Dynamic Cooperative Relay Networks

Arnaud Doucet, Jinhong Yuan, Ido Nevat, 2014, IEEE Transactions on Wireless Communications.

Unbiased Smoothing using Particle Independent Metropolis-Hastings

Arnaud Doucet, Pierre E. Jacob, George Deligiannidis, 2019, AISTATS.

Bayesian Nonparametric Models on Decomposable Graphs

Arnaud Doucet, François Caron, A. Doucet, 2009, NIPS.

Bayesian deconvolution of cyclostationary processes based on point processes

Patrick Duvaut, Christophe Andrieu, Arnaud Doucet, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

An overview of sequential Monte Carlo methods for parameter estimation in general state-space models

Arnaud Doucet, Jan M. Maciejowski, Nikolas Kantas, 2009 .

Efficient simulated annealing algorithms for Bayesian parameter estimation

Christophe Andrieu, Arnaud Doucet, 1998, Optics & Photonics.

Sequential Bayesian wavelet denoising

Arnaud Doucet, Mark Coates, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

Rao-Blackwellised Particle Filtering via Data Augmentation

Nando de Freitas, Christophe Andrieu, Arnaud Doucet, 2001, NIPS.

A Bayesian approach to joint tracking and identification of geometric shapes in video sequences

Arnaud Doucet, Simon Maskell, Pierre Minvielle, 2010, Image Vis. Comput..

Sequential Monte Carlo Methods in Practice

Nando de Freitas, Arnaud Doucet, Neil J. Gordon, 2001, Statistics for Engineering and Information Science.

An Introduction to Monte Carlo Methods for Bayesian Data Analysis

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2001 .

Particle filters for state estimation of jump Markov linear systems

Arnaud Doucet, Neil J. Gordon, Vikram Krishnamurthy, 2001, IEEE Trans. Signal Process..

The Unscented Particle Filter

Nando de Freitas, Arnaud Doucet, Rudolph van der Merwe, 2000, NIPS.

Expectation-maximization algorithms for inference in Dirichlet processes mixture

Arnaud Doucet, T. Kimura, T. Matsumoto, 2011, Pattern Analysis and Applications.

Simulation-based optimal filter for maneuvering target tracking

Arnaud Doucet, Neil J. Gordon, 1999, Optics & Photonics.

Online expectation-maximization type algorithms for parameter estimation in general state space models

Christophe Andrieu, Arnaud Doucet, A. Doucet, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo

Kotagiri Ramamohanarao, Arnaud Doucet, Shien-Shin Tham, 2002, ICML.

A survey of convergence results on particle filtering methods for practitioners

Arnaud Doucet, Dan Crisan, A. Doucet, 2002, IEEE Trans. Signal Process..

A Framework for Kernel-Based Multi-Category Classification

Arnaud Doucet, Simon I. Hill, A. Doucet, 2007, J. Artif. Intell. Res..

Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Particle Filtering for Joint Symbol and Code Delay Estimation in DS Spread Spectrum Systems in Multipath Environment

Arnaud Doucet, William J. Fitzgerald, Elena Punskaya, 2004, EURASIP J. Adv. Signal Process..

Simulation-based methods for blind maximum-likelihood filter identification

Eric Moulines, Arnaud Doucet, Olivier Cappé, 1999, Signal Process..

Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models

Arnaud Doucet, Alexandre Bouchard-Côté, Andrew Roth, 2015, J. Mach. Learn. Res..

Particle filtering for non-stationary speech modelling and enhancement

Christophe Andrieu, Arnaud Doucet, Jaco Vermaak, 2000, INTERSPEECH.

A Rao-Blackwellized particle filter for INS/GPS integration

Jean-Yves Tourneret, Arnaud Doucet, Audrey Giremus, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling

Arnaud Doucet, Jean-François Giovannelli, François Caron, 2017, NIPS.

Particle Value Functions pdf

Yee Whye Teh, Arnaud Doucet, George Tucker, 2017, ICLR.

Bayesian Unsupervised Signal Classification by Dirichlet Process Mixtures of Gaussian Processes

Arnaud Doucet, William J. Fitzgerald, Manuel Davy, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Bayesian deconvolution of noisy filtered point processes

Christophe Andrieu, Arnaud Doucet, Eric Barat, 2001, IEEE Trans. Signal Process..

Nonlinear filtering approaches for INS/GPS integration

Jean-Yves Tourneret, Arnaud Doucet, Audrey Giremus, 2004, 2004 12th European Signal Processing Conference.

Asymptotic bias of stochastic gradient search

Arnaud Doucet, Vladislav B. Tadic, A. Doucet, 2011, IEEE Conference on Decision and Control and European Control Conference.

Melody Tracking Based on Sequential Bayesian Model

Arnaud Doucet, Seokhwan Jo, Chang Dong Yoo, 2011, IEEE Journal of Selected Topics in Signal Processing.

Particle Markov Chain Monte Carlo for Efficient Numerical Simulation

Christophe Andrieu, Arnaud Doucet, Roman Holenstein, 2009 .

Modular Meta-Learning with Shrinkage pdf

Matthew W. Hoffman, Nando de Freitas, Arnaud Doucet, 2020, NeurIPS.

Bayesian filtering for hidden Markov models via Monte Carlo methods

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Generalized Pólya Urn for Time-Varying Pitman-Yor Processes

Arnaud Doucet, Frank D. Wood, Willie Neiswanger, 2017, J. Mach. Learn. Res..

Robust Full Bayesian Methods for Neural Networks

Christophe Andrieu, Arnaud Doucet, João F. G. de Freitas, 1999, NIPS.

Monte Carlo filtering and smoothing with application to time-varying spectral estimation

Simon J. Godsill, Arnaud Doucet, Mike West, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Localised Generative Flows

Arnaud Doucet, Rob Cornish, George Deligiannidis, 2019, ArXiv.

Expectation Particle Belief Propagation

Yee Whye Teh, Arnaud Doucet, Thibaut Lienart, 2015, NIPS.

Joint Bayesian model selection and blind equalization of ISI channels

Arnaud Doucet, Zaifei Liu, 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

Sequential Sampling for Dynamic Environment Map Illumination

Wolfgang Heidrich, Arnaud Doucet, Abhijeet Ghosh, 2022 .

Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets

Arnaud Doucet, Alexandre Bouchard-Côté, Robert Cornish, 2019, ICML.

Robust Bayesian spectral analysis via MCMC sampling

Christophe Andrieu, Arnaud Doucet, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

An Adaptive Interacting Wang–Landau Algorithm for Automatic Density Exploration

Arnaud Doucet, Luke Bornn, Pierre E. Jacob, 2011, 1109.3829.

Filtering Variational Objectives

Yee Whye Teh, Arnaud Doucet, Mohammad Norouzi, 2017, NIPS.

Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning

Robin J. Evans, Ba-Ngu Vo, Arnaud Doucet, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

The cross-entropy method for blind multiuser detection

Arnaud Doucet, Sumeetpal S. Singh, Zaifei Liu, 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

Generalized Polya Urn for Time-varying Dirichlet Process Mixtures

Arnaud Doucet, Manuel Davy, François Caron, 2007, UAI.

Variance reduction for Monte Carlo implementation of adaptive sensor management

Robin J. Evans, Ba-Ngu Vo, Arnaud Doucet, 2004 .

Blind SOS subspace channel estimation and equalization techniques exploiting spatial diversity in OFDM systems

Arnaud Doucet, Yingbo Hua, Hassan Ali, 2004, Digit. Signal Process..

Adapting two-class support vector classification methods to many class problems

Arnaud Doucet, Simon I. Hill, A. Doucet, 2005, ICML.

On the Impact of the Activation Function on Deep Neural Networks Training pdf

Arnaud Doucet, Judith Rousseau, Soufiane Hayou, 2019, ICML.

Particle filtering for joint symbol and parameter estimation in DS spread spectrum systems

Arnaud Doucet, William J. Fitzgerald, Elena Punskaya, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Uniform Stability of a Particle Approximation of the Optimal Filter Derivative

Arnaud Doucet, Pierre Del Moral, Sumeetpal S. Singh, 2011, SIAM J. Control. Optim..

Localised Generative Flows pdf

Arnaud Doucet, Rob Cornish, George Deligiannidis, 2019, ArXiv.

On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Monte Carlo Methods

Arnaud Doucet, Anthony Lee, Christopher Yau, 2009, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Robust Full Bayesian Learning for Neural Networks

Christophe Andrieu, Arnaud Doucet, Joao F. G. De Freitas, 1999 .

On embedded hidden Markov models and particle Markov chain Monte Carlo methods

Arnaud Doucet, Adam M. Johansen, Axel Finke, 2016, 1610.08962.

Sequential Monte Carlo Methods to Train Neural Network Models

Arnaud Doucet, Andrew H. Gee, Mahesan Niranjan, 2000, Neural Computation.

On the Selection of Initialization and Activation Function for Deep Neural Networks pdf

Arnaud Doucet, Judith Rousseau, Soufiane Hayou, 2018, ArXiv.

Toward Practical N2 Monte Carlo: the Marginal Particle Filter pdf

Nando de Freitas, Arnaud Doucet, Mike Klaas, 2005, UAI.

Particle methods for maximum likelihood estimation in latent variable models

Arnaud Doucet, Adam M. Johansen, Manuel Davy, 2008, Stat. Comput..

Sequential Ba yesian kernel regression

Simon J. Godsill, Arnaud Doucet, J. Vermaak, 2004, NIPS 2004.

Replica Conditional Sequential Monte Carlo

Arnaud Doucet, Alexander Y. Shestopaloff, 2019, ICML.

Fixed-lag sequential Monte Carlo

Arnaud Doucet, Stéphane Sénécal, A. Doucet, 2004, 2004 12th European Signal Processing Conference.

Augmented Neural ODEs

Yee Whye Teh, Arnaud Doucet, Emilien Dupont, 2019, NeurIPS.

Efficient Bayesian Inference for Generalized Bradley–Terry Models

Arnaud Doucet, Francois Caron, A. Doucet, 2010, 1011.1761.

A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation

Jean-Yves Tourneret, Arnaud Doucet, Audrey Giremus, 2010, IEEE Transactions on Signal Processing.

An introduction to the theory and applications of simulation based computational methods in Bayesian signal processing

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1998 .

Non-stationary Bayesian modelling and enhancement of speech signals

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1999 .

Particle methods for change detection, system identification, and control

Christophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, 2004, Proceedings of the IEEE.

Particle filtering for demodulation in fading channels with non-Gaussian additive noise

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2001, IEEE Trans. Commun..

Bayesian deconvolution of poissonian point sources

Guillaume Stawinski, Patrick Duvaut, Arnaud Doucet, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

A Bayesian approach to harmonic retrieval with clipped data

Christophe Andrieu, Arnaud Doucet, A. Doucet, 1999, Signal Process..

Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks

Arnaud Doucet, Sumeetpal S. Singh, Nikolaos Kantas, 2012, IEEE Transactions on Signal Processing.

GSR: A New Genetic Algorithm for Improving Source and Channel Estimates

Arnaud Doucet, Hassan Ali, Dino Isa Amshah, 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

Iterative algorithms for optimal state estimation of jump Markov linear systems

Christophe Andrieu, Arnaud Doucet, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Sequential Bayesian Kernel Regression

Simon J. Godsill, Arnaud Doucet, Jaco Vermaak, 2003, NIPS.

Sequential Monte Carlo methods for optimisation of neural network models

Arnaud Doucet, Mahesan Niranjan, Jfg de Freitas, 1998 .

Joint Bayesian detection and estimation of sinusoids embedded in noise

Patrick Duvaut, Christophe Andrieu, Arnaud Doucet, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

On-line non-stationary ICA using mixture models

Christophe Andrieu, Arnaud Doucet, Peter J. W. Rayner, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Differentiable Particle Filtering via Entropy-Regularized Optimal Transport

Arnaud Doucet, George Deligiannidis, Adrien Corenflos, 2021, ICML.

Simulating Diffusion Bridges with Score Matching pdf

Arnaud Doucet, Valentin De Bortoli, Jeremy Heng, 2021, ArXiv.

Wide stochastic networks: Gaussian limit and PAC-Bayesian training pdf

Arnaud Doucet, George Deligiannidis, Eugenio Clerico, 2021, ArXiv.

Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale pdf

Arnaud Doucet, Sebastian Vollmer, Harrison Wilde, 2021, ArXiv.

Dual Space Preconditioning for Gradient Descent

Yee Whye Teh, Arnaud Doucet, Chris J. Maddison, 2019, SIAM J. Optim..

Generative Models as Distributions of Functions pdf

Yee Whye Teh, Arnaud Doucet, Emilien Dupont, 2021, ArXiv.

Lithological tomography with the correlated pseudo-marginal method

Arnaud Doucet, David Ginsbourger, Niklas Linde, 2021, Geophysical Journal International.

Asymptotic Properties of Recursive Particle Maximum Likelihood Estimation

Arnaud Doucet, Vladislav Z. B. Tadić, A. Doucet, 2021, IEEE Transactions on Information Theory.

Monte Carlo Variational Auto-Encoders

Eric Moulines, Arnaud Doucet, Alain Durmus, 2021, ICML.

Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains

Arnaud Doucet, Francisco J. R. Ruiz, Michalis K. Titsias, 2021, UAI.

COIN: COmpression with Implicit Neural representations pdf

Yee Whye Teh, Arnaud Doucet, Emilien Dupont, 2021, ICLR 2021.

On Instrumental Variable Regression for Deep Offline Policy Evaluation pdf

Nando de Freitas, Arnaud Doucet, Arthur Gretton, 2021, ArXiv.

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding

Arnaud Doucet, Ashish Khisti, Alireza Makhzani, 2021, ICML.

Conditional Gaussian PAC-Bayes pdf

Arnaud Doucet, George Deligiannidis, Eugenio Clerico, 2021, ArXiv.

Online Variational Filtering and Parameter Learning pdf

Arnaud Doucet, Tom Rainforth, Andrew Campbell, 2021, ArXiv.

Learning Deep Features in Instrumental Variable Regression pdf

Nando de Freitas, Arnaud Doucet, Arthur Gretton, 2020, ICLR.

Bias of Particle Approximations to Optimal Filter Derivative

Arnaud Doucet, Vladislav Z.B. Tadic, A. Doucet, 2018, SIAM J. Control. Optim..

NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform

Eric Moulines, Arnaud Doucet, Alain Durmus, 2021 .

Learning Optimal Conformal Classifiers pdf

Arnaud Doucet, Ali Taylan Cemgil, Krishnamurthy Dvijotham, 2021, ArXiv.

Variational Inference with Continuously-Indexed Normalizing Flows

Arnaud Doucet, Dino Sejdinovic, Anthony Caterini, 2021, UAI.

Network Consensus in the Wasserstein Metric Space of Probability Measures

Arnaud Doucet, Adrian N. Bishop, A. Doucet, 2014, SIAM J. Control. Optim..

Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure pdf

Arnaud Doucet, Valentin De Bortoli, George Deligiannidis, 2021, ArXiv.

Annealed Flow Transport Monte Carlo pdf

Arnaud Doucet, Michael Arbel, Alexander G. D. G. Matthews, 2021, ICML.

Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods"

Arnaud Doucet, Jean-Michel Marin, Christian P. Robert, 2010, 1011.0834.

Convergence of the equi-energy sampler

Christophe Andrieu, Arnaud Doucet, Pierre Del Moral, 2007 .

Inference for Lévy‐Driven Stochastic Volatility Models via Adaptive Sequential Monte Carlo

Arnaud Doucet, Ajay Jasra, David A. Stephens, 2011 .

Fluctuations of Interacting Markov Chain Monte Carlo Models

Arnaud Doucet, Pierre Del Moral, Bernard Bercu, 2008 .

Particle Filtering and Smoothing: Fifteen years later

Arnaud Doucet, Adam M. Johansen, A. Doucet, 2008 .

Stability of optimal filter higher-order derivatives

Arnaud Doucet, Vladislav Z.B. Tadic, 2018 .

Convergence properties of Bayesian evolutionary algorithms with population size greater than 1

Byoung-Tak Zhang, Arnaud Doucet, Si-Eun Lee, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Sequential Monte Carlo & genetic particle models. Theory and practice

Arnaud Doucet, Pierre Del Moral, P. Moral, 2012 .

Sequential Monte Carlo methods for Bayesian computation

Arnaud Doucet, Pierre Del Moral, Ajay Jasra, 2006 .

On the conditional distributions of spatial point processes

Arnaud Doucet, Pierre Del Moral, Michele Pace, 2011 .

Improved auxiliary particle filtering: applications to time-varying spectral analysis

Christophe Andrieu, Arnaud Doucet, Manuel Davy, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

Unbiased Markov chain Monte Carlo for intractable target distributions

Arnaud Doucet, Pierre E. Jacob, George Deligiannidis, 2020, Electronic Journal of Statistics.

Sequentially interacting Markov chain Monte Carlo methods

Arnaud Doucet, Pierre Del Moral, Anthony Brockwell, 2010, 1211.2582.

Autoregressive Kernels For Time Series

Arnaud Doucet, Marco Cuturi, A. Doucet, 2011, 1101.0673.

Schrödinger Bridge Samplers

Arnaud Doucet, Espen Bernton, Jeremy Heng, 2021 .

Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors

Arnaud Doucet, Chris Holmes, Anthony Lee, 2011, Statistical applications in genetics and molecular biology.

Schr\"odinger Bridge Samplers.

Arnaud Doucet, Pierre E. Jacob, Espen Bernton, 2019, 1912.13170.