Arnaud Doucet - RankMe

313 papers A* 50A 18B 6C 6Misc 12Journal 172Unranked 46

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Accelerated Diffusion Models via Speculative Sampling. ICML Valentin De Bortoli, Alexandre Galashov, Arthur Gretton, Arnaud Doucet
2025	J	`jnl`	Accelerated Diffusion Models via Speculative Sampling. CoRR Valentin De Bortoli, Alexandre Galashov, Arthur Gretton, Arnaud Doucet
2025	J	`jnl`	An Energy-Based Model Approach to Rare Event Probability Estimation. SIAM/ASA J. Uncertain. Quantification Lea Friedli, David Ginsbourger, Arnaud Doucet, Niklas Linde
2025	J	`jnl`	Conformalized Credal Regions for Classification with Ambiguous Ground Truth. Trans. Mach. Learn. Res. Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet
2025	J	`jnl`	Control Variate Score Matching for Diffusion Models. CoRR Khaled Kahouli, Romuald Elie, Klaus-Robert Müller, Quentin Berthet, Oliver T. Unke, Arnaud Doucet
2025	A*	`conf`	Distributional Diffusion Models with Scoring Rules. ICML Valentin De Bortoli, Alexandre Galashov, J. Swaroop Guntupalli, Guangyao Zhou, Kevin Patrick Murphy, Arthur Gretton, Arnaud Doucet
2025	J	`jnl`	Distributional Diffusion Models with Scoring Rules. CoRR Valentin De Bortoli, Alexandre Galashov, J. Swaroop Guntupalli, Guangyao Zhou, Kevin Murphy, Arthur Gretton, Arnaud Doucet
2025	J	`jnl`	Evaluating medical AI systems in dermatology under uncertain ground truth. Medical Image Anal. David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam
2025	A*	`conf`	Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. ICML Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alán Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
2025	J	`jnl`	Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. CoRR Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alán Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
2025	B	`conf`	Generalisation under gradient descent via deterministic PAC-Bayes. ALT Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet
2025	J	`jnl`	Generalised Parallel Tempering: Flexible Replica Exchange via Flows and Diffusions. CoRR Leo Zhang, Peter Potaptchik, Arnaud Doucet, Hai-Dang Dau, Saifuddin Syed
2025	A	`conf`	Implicit Diffusion: Efficient optimization through stochastic sampling. AISTATS Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet
2025	J	`jnl`	Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis. CoRR Tyler Farghly, Patrick Rebeschini, George Deligiannidis, Arnaud Doucet
2025	J	`jnl`	Learn to Guide Your Diffusion Model. CoRR Alexandre Galashov, Ashwini Pokle, Arnaud Doucet, Arthur Gretton, Mauricio Delbracio, Valentin De Bortoli
2025	J	`jnl`	Permutation-Invariant Spectral Learning via Dyson Diffusion. CoRR Tassilo Schwarz, Cai Dieball, Constantin Kogler, Kevin Lam, Renaud Lambiotte, Arnaud Doucet, Aljaz Godec, George Deligiannidis
2025	J	`jnl`	Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities. CoRR Tara Akhound-Sadegh, Jungyoon Lee, Avishek Joey Bose, Valentin De Bortoli, Arnaud Doucet, Michael M. Bronstein, Dominique Beaini, Siamak Ravanbakhsh, Kirill Neklyudov, Alexander Tong
2025	J	`jnl`	Self-Speculative Masked Diffusions. CoRR Andrew Campbell, Valentin De Bortoli, Jiaxin Shi, Arnaud Doucet
2025	—	`conf`	Source Separation by Flow Matching. WASPAA Robin Scheibler, John R. Hershey, Arnaud Doucet, Henry Li
2025	J	`jnl`	Source Separation by Flow Matching. CoRR Robin Scheibler, John R. Hershey, Arnaud Doucet, Henry Li
2024	J	`jnl`	Conformalized Credal Regions for Classification with Ambiguous Ground Truth. CoRR Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet
2024	J	`jnl`	Error Bounds for Flow Matching Methods. Trans. Mach. Learn. Res. Joe Benton, George Deligiannidis, Arnaud Doucet
2024	J	`jnl`	Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models. CoRR Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George-Cristian Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando de Freitas, Caglar Gulcehre
2024	J	`jnl`	Implicit Diffusion: Efficient Optimization through Stochastic Sampling. CoRR Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet
2024	J	`jnl`	Mitigating LLM Hallucinations via Conformal Abstention. CoRR Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev
2024	A*	`conf`	Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. ICLR Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
2024	A*	`conf`	Particle Denoising Diffusion Sampler. ICML Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2024	J	`jnl`	Particle Denoising Diffusion Sampler. CoRR Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2024	J	`jnl`	Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation. CoRR Eleni Sgouritsa, Virginia Aglietti, Yee Whye Teh, Arnaud Doucet, Arthur Gretton, Silvia Chiappa
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz Gustavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas
2024	A*	`conf`	Schrodinger Bridge Flow for Unpaired Data Translation. NeurIPS Valentin De Bortoli, Iryna Korshunova, Andriy Mnih, Arnaud Doucet
2024	J	`jnl`	Schrödinger Bridge Flow for Unpaired Data Translation. CoRR Valentin De Bortoli, Iryna Korshunova, Andriy Mnih, Arnaud Doucet
2024	A*	`conf`	Score-Optimal Diffusion Schedules. NeurIPS Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed
2024	J	`jnl`	Score-Optimal Diffusion Schedules. CoRR Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed
2024	A*	`conf`	Simplified and Generalized Masked Diffusion for Discrete Data. NeurIPS Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias
2024	J	`jnl`	Simplified and Generalized Masked Diffusion for Discrete Data. CoRR Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias
2024	J	`jnl`	Target Score Matching. CoRR Valentin De Bortoli, Michael J. Hutchinson, Peter Wirnsberger, Arnaud Doucet
2023	J	`jnl`	A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. CoRR Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
2023	A*	`conf`	A Unified Framework for U-Net Design and Analysis. NeurIPS Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed
2023	J	`jnl`	A Unified Framework for U-Net Design and Analysis. CoRR Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed
2023	J	`jnl`	Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics. J. Mach. Learn. Res. Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet
2023	J	`jnl`	Causal Falsification of Digital Twins. CoRR Rob Cornish, Muhammad Faaiz Taufiq, Arnaud Doucet, Chris C. Holmes
2023	J	`jnl`	Conformal prediction under ambiguous ground truth. CoRR David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet
2023	J	`jnl`	Conformal prediction under ambiguous ground truth. Trans. Mach. Learn. Res. David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet
2023	A*	`conf`	Denoising Diffusion Samplers. ICLR Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet
2023	J	`jnl`	Denoising Diffusion Samplers. CoRR Francisco Vargas, Will Grathwohl, Arnaud Doucet
2023	J	`jnl`	Diffusion Generative Inverse Design. CoRR Marin Vlastelica, Tatiana Lopez-Guevara, Kelsey R. Allen, Peter W. Battaglia, Arnaud Doucet, Kimberly L. Stachenfeld
2023	A*	`conf`	Diffusion Schrödinger Bridge Matching. NeurIPS Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
2023	J	`jnl`	Diffusion Schrödinger Bridge Matching. CoRR Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
2023	J	`jnl`	Error Bounds for Flow Matching Methods. CoRR Joe Benton, George Deligiannidis, Arnaud Doucet
2023	J	`jnl`	Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam
2023	J	`jnl`	Linear Convergence Bounds for Diffusion Models via Stochastic Localization. CoRR Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
2023	A*	`conf`	Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits. NeurIPS Muhammad Faaiz Taufiq, Arnaud Doucet, Rob Cornish, Jean-Francois Ton
2023	J	`jnl`	Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits. CoRR Muhammad Faaiz Taufiq, Arnaud Doucet, Rob Cornish, Jean-Francois Ton
2023	A*	`conf`	Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. ICML Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl
2023	J	`jnl`	Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. CoRR Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
2023	J	`jnl`	Reinforced Self-Training (ReST) for Language Modeling. CoRR Çaglar Gülçehre, Tom Le Paine, Srivatsan Srinivasan, Ksenia Konyushkova, Lotte Weerts, Abhishek Sharma, Aditya Siddhant, Alex Ahern, Miaosen Wang, Chenjie Gu, Wolfgang Macherey, Arnaud Doucet, Orhan Firat, Nando de Freitas
2023	A*	`conf`	SE(3) diffusion model with application to protein backbone generation. ICML Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
2023	J	`jnl`	SE(3) diffusion model with application to protein backbone generation. CoRR Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
2023	A*	`conf`	Trans-Dimensional Generative Modeling via Jump Diffusion Models. NeurIPS Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet
2023	J	`jnl`	Trans-Dimensional Generative Modeling via Jump Diffusion Models. CoRR Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet
2023	A*	`conf`	Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters. NeurIPS Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus
2023	J	`jnl`	Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters. CoRR Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus
2023	B	`conf`	Wide stochastic networks: Gaussian limit and PAC-Bayesian training. ALT Eugenio Clerico, George Deligiannidis, Arnaud Doucet
2022	A*	`conf`	A Continuous Time Framework for Discrete Denoising Models. NeurIPS Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet
2022	J	`jnl`	A Continuous Time Framework for Discrete Denoising Models. CoRR Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
2022	A*	`conf`	A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. NeurIPS Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
2022	J	`jnl`	A PAC-Bayes bound for deterministic classifiers. CoRR Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet
2022	J	`jnl`	Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics. CoRR Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet
2022	J	`jnl`	An Empirical Study of Implicit Regularization in Deep Offline RL. CoRR Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matt Hoffman, Razvan Pascanu, Arnaud Doucet
2022	J	`jnl`	An empirical study of implicit regularization in deep offline RL. Trans. Mach. Learn. Res. Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet
2022	J	`jnl`	COIN++: Data Agnostic Neural Compression. CoRR Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
2022	J	`jnl`	COIN++: Neural Compression Across Modalities. Trans. Mach. Learn. Res. Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
2022	J	`jnl`	Categorical SDEs with Simplex Diffusion. CoRR Pierre H. Richemond, Sander Dieleman, Arnaud Doucet
2022	J	`jnl`	Chained Generalisation Bounds. CoRR Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet
2022	A*	`conf`	Chained generalisation bounds. COLT Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet
2022	J	`jnl`	Conditional Simulation Using Diffusion Schrödinger Bridges. CoRR Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2022	A	`conf`	Conditional simulation using diffusion Schrödinger bridges. UAI Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2022	A	`conf`	Conditionally Gaussian PAC-Bayes. AISTATS Eugenio Clerico, George Deligiannidis, Arnaud Doucet
2022	A*	`conf`	Conformal Off-Policy Prediction in Contextual Bandits. NeurIPS Muhammad Faaiz Taufiq, Jean-Francois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet
2022	J	`jnl`	Conformal Off-Policy Prediction in Contextual Bandits. CoRR Muhammad Faaiz Taufiq, Jean-Francois Ton, Robert Cornish, Yee Whye Teh, Arnaud Doucet
2022	A*	`conf`	Continual Repeated Annealed Flow Transport Monte Carlo. ICML Alexander G. de G. Matthews, Michael Arbel, Danilo Jimenez Rezende, Arnaud Doucet
2022	J	`jnl`	Continual Repeated Annealed Flow Transport Monte Carlo. CoRR Alexander G. de G. Matthews, Michael Arbel, Danilo J. Rezende, Arnaud Doucet
2022	J	`jnl`	Continuous diffusion for categorical data. CoRR Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler
2022	J	`jnl`	Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting. J. Mach. Learn. Res. Maxime Vono, Daniel Paulin, Arnaud Doucet
2022	J	`jnl`	From Denoising Diffusions to Denoising Markov Models. CoRR Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2022	A	`conf`	Generative Models as Distributions of Functions. AISTATS Emilien Dupont, Yee Whye Teh, Arnaud Doucet
2022	A*	`conf`	Importance Weighted Kernel Bayes' Rule. ICML Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton
2022	J	`jnl`	Importance Weighting Approach in Kernel Bayes' Rule. CoRR Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton
2022	A*	`conf`	Learning Optimal Conformal Classifiers. ICLR David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet
2022	J	`jnl`	Maximum Likelihood Learning of Energy-Based Models for Simulation-Based Inference. CoRR Pierre Glaser, Michael Arbel, Arnaud Doucet, Arthur Gretton
2022	A	`conf`	Mitigating statistical bias within differentially private synthetic data. UAI Sahra Ghalebikesabi, Harry Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes
2022	J	`jnl`	On Instrumental Variable Regression for Deep Offline Policy Evaluation. J. Mach. Learn. Res. Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
2022	A	`conf`	On PAC-Bayesian reconstruction guarantees for VAEs. AISTATS Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj
2022	J	`jnl`	On PAC-Bayesian reconstruction guarantees for VAEs. CoRR Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj
2022	Misc	`conf`	Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. CoRL Angad Singh, Omar Makhlouf, Maximilian Igl, João V. Messias, Arnaud Doucet, Shimon Whiteson
2022	J	`jnl`	Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. CoRR Angad Singh, Omar Makhlouf, Maximilian Igl, João V. Messias, Arnaud Doucet, Shimon Whiteson
2022	J	`jnl`	Ranking in Contextual Multi-Armed Bandits. CoRR Amitis Shidani, George Deligiannidis, Arnaud Doucet
2022	J	`jnl`	Riemannian Diffusion Schrödinger Bridge. CoRR James Thornton, Michael J. Hutchinson, Emile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet
2022	J	`jnl`	Riemannian Score-Based Generative Modeling. CoRR Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
2022	A*	`conf`	Riemannian Score-Based Generative Modelling. NeurIPS Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
2022	A*	`conf`	Score-Based Diffusion meets Annealed Importance Sampling. NeurIPS Arnaud Doucet, Will Grathwohl, Alexander G. de G. Matthews, Heiko Strathmann
2022	J	`jnl`	Score-Based Diffusion meets Annealed Importance Sampling. CoRR Arnaud Doucet, Will Grathwohl, Alexander G. de G. Matthews, Heiko Strathmann
2022	J	`jnl`	Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows. CoRR Francesca R. Crucinio, Valentin De Bortoli, Arnaud Doucet, Adam M. Johansen
2022	J	`jnl`	Spectral Diffusion Processes. CoRR Angus Phillips, Thomas Seror, Michael J. Hutchinson, Valentin De Bortoli, Arnaud Doucet, Emile Mathieu
2022	A*	`conf`	Towards Learning Universal Hyperparameter Optimizers with Transformers. NeurIPS Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
2022	J	`jnl`	Towards Learning Universal Hyperparameter Optimizers with Transformers. CoRR Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
2021	A*	`conf`	Annealed Flow Transport Monte Carlo. ICML Michael Arbel, Alexander G. de G. Matthews, Arnaud Doucet
2021	J	`jnl`	Annealed Flow Transport Monte Carlo. CoRR Michael Arbel, Alexander G. de G. Matthews, Arnaud Doucet
2021	J	`jnl`	Asymptotic Properties of Recursive Particle Maximum Likelihood Estimation. IEEE Trans. Inf. Theory Vladislav Z. B. Tadic, Arnaud Doucet
2021	J	`jnl`	Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale. CoRR Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes
2021	J	`jnl`	Bias of Particle Approximations to Optimal Filter Derivative. SIAM J. Control. Optim. Vladislav Z. B. Tadic, Arnaud Doucet
2021	J	`jnl`	COIN: COmpression with Implicit Neural representations. CoRR Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet
2021	J	`jnl`	Conditional Gaussian PAC-Bayes. CoRR Eugenio Clerico, George Deligiannidis, Arnaud Doucet
2021	A*	`conf`	Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. ICML Adrien Corenflos, James Thornton, George Deligiannidis, Arnaud Doucet
2021	J	`jnl`	Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. CoRR Adrien Corenflos, James Thornton, Arnaud Doucet, George Deligiannidis
2021	A*	`conf`	Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling. NeurIPS Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
2021	J	`jnl`	Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling. CoRR Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
2021	J	`jnl`	Dual Space Preconditioning for Gradient Descent. SIAM J. Optim. Chris J. Maddison, Daniel Paulin, Yee Whye Teh, Arnaud Doucet
2021	J	`jnl`	Generative Models as Distributions of Functions. CoRR Emilien Dupont, Yee Whye Teh, Arnaud Doucet
2021	A*	`conf`	Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. ICML Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
2021	J	`jnl`	Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. CoRR Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
2021	A*	`conf`	Learning Deep Features in Instrumental Variable Regression. ICLR Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
2021	J	`jnl`	Learning Optimal Conformal Classifiers. CoRR David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet
2021	A*	`conf`	Monte Carlo Variational Auto-Encoders. ICML Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov
2021	J	`jnl`	Monte Carlo Variational Auto-Encoders. CoRR Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov
2021	A*	`conf`	NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform. NeurIPS Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff, Charles Ollion, Eric Moulines, Arnaud Doucet, Alain Durmus, Christian X. Robert
2021	J	`jnl`	Network Consensus in the Wasserstein Metric Space of Probability Measures. SIAM J. Control. Optim. Adrian N. Bishop, Arnaud Doucet
2021	J	`jnl`	Nonreversible Jump Algorithms for Bayesian Nested Model Selection. J. Comput. Graph. Stat. Philippe Gagnon, Arnaud Doucet
2021	J	`jnl`	On Instrumental Variable Regression for Deep Offline Policy Evaluation. CoRR Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
2021	A*	`conf`	Online Variational Filtering and Parameter Learning. NeurIPS Andrew Campbell, Yuyang Shi, Thomas Rainforth, Arnaud Doucet
2021	J	`jnl`	Online Variational Filtering and Parameter Learning. CoRR Andrew Campbell, Yuyang Shi, Tom Rainforth, Arnaud Doucet
2021	J	`jnl`	Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure. CoRR George Deligiannidis, Valentin De Bortoli, Arnaud Doucet
2021	A*	`conf`	Robust Pruning at Initialization. ICLR Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh
2021	J	`jnl`	Simulating Diffusion Bridges with Score Matching. CoRR Valentin De Bortoli, Arnaud Doucet, Jeremy Heng, James Thornton
2021	A	`conf`	Stable ResNet. AISTATS Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
2021	—	`conf`	The Curse of Depth in Kernel Regime. ICBINB@NeurIPS Soufiane Hayou, Arnaud Doucet, Judith Rousseau
2021	A	`conf`	Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. UAI Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet
2021	A	`conf`	Variational inference with continuously-indexed normalizing flows. UAI Anthony L. Caterini, Robert Cornish, Dino Sejdinovic, Arnaud Doucet
2021	J	`jnl`	Wide stochastic networks: Gaussian limit and PAC-Bayesian training. CoRR Eugenio Clerico, George Deligiannidis, Arnaud Doucet
2020	J	`jnl`	Learning Deep Features in Instrumental Variable Regression. CoRR Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
2020	A*	`conf`	Modular Meta-Learning with Shrinkage. NeurIPS Yutian Chen, Abram L. Friesen, Feryal M. P. Behbahani, Arnaud Doucet, David Budden, Matthew Hoffman, Nando de Freitas
2020	J	`jnl`	Pruning untrained neural networks: Principles and Analysis. CoRR Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh
2020	A*	`conf`	Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows. ICML Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet
2020	J	`jnl`	Stable ResNet. CoRR Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
2020	J	`jnl`	Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains. CoRR Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet
2020	J	`jnl`	Variational Inference with Continuously-Indexed Normalizing Flows. CoRR Anthony L. Caterini, Robert Cornish, Dino Sejdinovic, Arnaud Doucet
2019	J	`jnl`	Analyticity of Entropy Rates of Continuous-State Hidden Markov Models. IEEE Trans. Inf. Theory Vladislav Z. B. Tadic, Arnaud Doucet
2019	B	`conf`	Asymptotic Properties of Recursive Particle Maximum Likelihood Estimation. ISIT Vladislav Z. B. Tadic, Arnaud Doucet
2019	A*	`conf`	Augmented Neural ODEs. NeurIPS Emilien Dupont, Arnaud Doucet, Yee Whye Teh
2019	J	`jnl`	Augmented Neural ODEs. CoRR Emilien Dupont, Arnaud Doucet, Yee Whye Teh
2019	A	`conf`	Bernoulli Race Particle Filters. AISTATS Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis
2019	J	`jnl`	Localised Generative Flows. CoRR Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet
2019	J	`jnl`	Modular Meta-Learning with Shrinkage. CoRR Yutian Chen, Abram L. Friesen, Feryal M. P. Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas
2019	J	`jnl`	On the Impact of the Activation Function on Deep Neural Networks Training. CoRR Soufiane Hayou, Arnaud Doucet, Judith Rousseau
2019	A*	`conf`	On the Impact of the Activation function on Deep Neural Networks Training. ICML Soufiane Hayou, Arnaud Doucet, Judith Rousseau
2019	A*	`conf`	Replica Conditional Sequential Monte Carlo. ICML Alexander Y. Shestopaloff, Arnaud Doucet
2019	A*	`conf`	Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. ICML Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet
2019	J	`jnl`	Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. CoRR Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet
2019	—	`conf`	Stability of Optimal Filter Higher-Order Derivatives. CDC Vladislav Z. B. Tadic, Arnaud Doucet
2019	J	`jnl`	Training Dynamics of Deep Networks using Stochastic Gradient Descent via Neural Tangent Kernel. CoRR Soufiane Hayou, Arnaud Doucet, Judith Rousseau
2019	A	`conf`	Unbiased Smoothing using Particle Independent Metropolis-Hastings. AISTATS Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob
2018	J	`jnl`	Analyticity of Entropy Rates of Continuous-State Hidden Markov Models. CoRR Vladislav Z. B. Tadic, Arnaud Doucet
2018	J	`jnl`	Hamiltonian Descent Methods. CoRR Chris J. Maddison, Daniel Paulin, Yee Whye Teh, Brendan O'Donoghue, Arnaud Doucet
2018	A*	`conf`	Hamiltonian Variational Auto-Encoder. NeurIPS Anthony L. Caterini, Arnaud Doucet, Dino Sejdinovic
2018	J	`jnl`	Hamiltonian Variational Auto-Encoder. CoRR Anthony L. Caterini, Arnaud Doucet, Dino Sejdinovic
2018	J	`jnl`	On the Selection of Initialization and Activation Function for Deep Neural Networks. CoRR Soufiane Hayou, Arnaud Doucet, Judith Rousseau
2017	—	`conf`	Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling. NIPS Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli, Arnaud Doucet
2017	—	`conf`	Filtering Variational Objectives. NIPS Chris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Mohammad Norouzi, Andriy Mnih, Arnaud Doucet, Yee Whye Teh
2017	J	`jnl`	Filtering Variational Objectives. CoRR Chris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Mohammad Norouzi, Andriy Mnih, Arnaud Doucet, Yee Whye Teh
2017	J	`jnl`	Generalized Pólya Urn for Time-Varying Pitman-Yor Processes. J. Mach. Learn. Res. François Caron, Willie Neiswanger, Frank D. Wood, Arnaud Doucet, Manuel Davy
2017	J	`jnl`	On Markov chain Monte Carlo methods for tall data. J. Mach. Learn. Res. Rémi Bardenet, Arnaud Doucet, Christopher C. Holmes
2017	J	`jnl`	Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models. J. Mach. Learn. Res. Alexandre Bouchard-Côté, Arnaud Doucet, Andrew Roth
2017	—	`conf`	Particle Value Functions. ICLR (Workshop) Chris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Arnaud Doucet, Andriy Mnih, Yee Whye Teh
2017	J	`jnl`	Particle Value Functions. CoRR Chris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Arnaud Doucet, Andriy Mnih, Yee Whye Teh
2016	A*	`conf`	Interacting Particle Markov Chain Monte Carlo. ICML Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood
2015	—	`conf`	Expectation Particle Belief Propagation. NIPS Thibaut Liénart, Yee Whye Teh, Arnaud Doucet
2015	J	`jnl`	Expectation Particle Belief Propagation. CoRR Thibaut Liénart, Yee Whye Teh, Arnaud Doucet
2015	J	`jnl`	Uniform Stability of a Particle Approximation of the Optimal Filter Derivative. SIAM J. Control. Optim. Pierre Del Moral, Arnaud Doucet, Sumeetpal S. Singh
2014	—	`conf`	Asynchronous Anytime Sequential Monte Carlo. NIPS Brooks Paige, Frank D. Wood, Arnaud Doucet, Yee Whye Teh
2014	A*	`conf`	Fast Computation of Wasserstein Barycenters. ICML Marco Cuturi, Arnaud Doucet
2014	J	`jnl`	Joint Channel and Doppler Offset Estimation in Dynamic Cooperative Relay Networks. IEEE Trans. Wirel. Commun. Ido Nevat, Gareth W. Peters, Arnaud Doucet, Jinhong Yuan
2014	A*	`conf`	Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach. ICML Rémi Bardenet, Arnaud Doucet, Christopher C. Holmes
2013	J	`jnl`	Expectation-maximization algorithms for inference in Dirichlet processes mixture. Pattern Anal. Appl. Tomoaki Kimura, T. Tokuda, Yohei Nakada, T. Nokajima, Takashi Matsumoto, Arnaud Doucet
2013	J	`jnl`	Introduction to Special Issue on Monte Carlo Methods in Statistics. ACM Trans. Model. Comput. Simul. Arnaud Doucet, Christian P. Robert
2013	J	`jnl`	Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks CoRR Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart Russell
2013	J	`jnl`	Reversible Jump MCMC Simulated Annealing for Neural Networks CoRR Christophe Andrieu, Nando de Freitas, Arnaud Doucet
2012	J	`jnl`	An adaptive sequential Monte Carlo method for approximate Bayesian computation. Stat. Comput. Pierre Del Moral, Arnaud Doucet, Ajay Jasra
2012	J	`jnl`	Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks. IEEE Trans. Signal Process. Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
2012	J	`jnl`	Distributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor Networks CoRR Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
2012	J	`jnl`	New inference strategies for solving Markov Decision Processes using reversible jump MCMC CoRR Matthias Hoffman, Hendrik Kück, Nando de Freitas, Arnaud Doucet
2012	J	`jnl`	On-line changepoint detection and parameter estimation with application to genomic data. Stat. Comput. Francois Caron, Arnaud Doucet, Raphael Gottardo
2012	J	`jnl`	Toward Practical N2 Monte Carlo: the Marginal Particle Filter CoRR Mike Klaas, Nando de Freitas, Arnaud Doucet
2011	—	`conf`	Asymptotic bias of stochastic gradient search. CDC/ECC Vladislav Z. B. Tadic, Arnaud Doucet
2011	J	`jnl`	Melody Tracking Based on Sequential Bayesian Model. IEEE J. Sel. Top. Signal Process. Seokhwan Jo, Chang D. Yoo, Arnaud Doucet
2011	J	`jnl`	Particle Approximation of the Intensity Measures of a Spatial Branching Point Process Arising in Multitarget Tracking. SIAM J. Control. Optim. Francois Caron, Pierre Del Moral, Arnaud Doucet, Michele Pace
2010	J	`jnl`	A Bayesian approach to joint tracking and identification of geometric shapes in video sequences. Image Vis. Comput. Pierre Minvielle, Arnaud Doucet, Alan Marrs, Simon Maskell
2010	J	`jnl`	A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation. IEEE Trans. Signal Process. Audrey Giremus, Jean-Yves Tourneret, Arnaud Doucet
2010	J	`jnl`	Channel Tracking for Relay Networks via Adaptive Particle MCMC CoRR Ido Nevat, Gareth W. Peters, Arnaud Doucet, Jinhong Yuan
2010	J	`jnl`	On solving integral equations using Markov chain Monte Carlo methods. Appl. Math. Comput. Arnaud Doucet, Adam M. Johansen, Vladislav Z. B. Tadic
2009	J	`jnl`	A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot. Auton. Robots Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, José A. Castellanos, Arnaud Doucet
2009	J	`jnl`	A boosting approach to structure learning of graphs with and without prior knowledge. Bioinform. Shahzia Anjum, Arnaud Doucet, Christopher C. Holmes
2009	A	`conf`	An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. AISTATS Matthew Hoffman, Nando de Freitas, Arnaud Doucet, Jan Peters
2009	—	`conf`	Bayesian Nonparametric Models on Decomposable Graphs. NIPS Francois Caron, Arnaud Doucet
2009	Misc	`conf`	Inference and Learning for Active Sensing, Experimental Design and Control. IbPRIA Hendrik Kück, Matt Hoffman, Arnaud Doucet, Nando de Freitas
2009	A	`conf`	New inference strategies for solving Markov Decision Processes using reversible jump MCMC. UAI Matthias Hoffman, Hendrik Kück, Nando de Freitas, Arnaud Doucet
2009	J	`jnl`	Particle-method-based formulation of risk-sensitive filter. Signal Process. Smita Sadhu, Shovan Bhaumik, Arnaud Doucet, Tapan Kumar Ghoshal
2008	J	`jnl`	Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures. IEEE Trans. Signal Process. Francois Caron, Manuel Davy, Arnaud Doucet, Emmanuel Duflos, Philippe Vanheeghe
2008	J	`jnl`	Interacting sequential Monte Carlo samplers for trans-dimensional simulation. Comput. Stat. Data Anal. Ajay Jasra, Arnaud Doucet, David A. Stephens, Christopher C. Holmes
2008	J	`jnl`	Particle methods for maximum likelihood estimation in latent variable models. Stat. Comput. Adam M. Johansen, Arnaud Doucet, Manuel Davy
2008	A*	`conf`	Sparse Bayesian nonparametric regression. ICML Francois Caron, Arnaud Doucet
2007	J	`jnl`	A Framework for Kernel-Based Multi-Category Classification. J. Artif. Intell. Res. Simon I. Hill, Arnaud Doucet
2007	B	`conf`	A Monte Carlo Algorithm for Optimal Quantization in Hidden Markov Models. ISIT Vladislav Z. B. Tadic, Arnaud Doucet
2007	J	`jnl`	A policy gradient method for semi-Markov decision processes with application to call admission control. Eur. J. Oper. Res. Sumeetpal S. Singh, Vladislav Z. B. Tadic, Arnaud Doucet
2007	—	`conf`	Active Policy Learning for Robot Planning and Exploration under Uncertainty. Robotics: Science and Systems Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet, José A. Castellanos
2007	—	`conf`	Bayesian Policy Learning with Trans-Dimensional MCMC. NIPS Matt Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra
2007	—	`conf`	Bayesian Unsupervised Signal Classification by Dirichlet Process Mixtures of Gaussian Processes. ICASSP (3) Edmund S. Jackson, Manuel Davy, Arnaud Doucet, William J. Fitzgerald
2007	J	`jnl`	GSR: A New Genetic Algorithm for Improving Source and Channel Estimates. IEEE Trans. Circuits Syst. I Regul. Pap. Hassan Ali, Arnaud Doucet, Dino Isa Amshah
2007	A	`conf`	Generalized Polya Urn for Time-varying Dirichlet Process Mixtures. UAI Francois Caron, Manuel Davy, Arnaud Doucet
2007	J	`jnl`	Simulation-based optimal sensor scheduling with application to observer trajectory planning. Autom. Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans
2006	C	`conf`	A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration. FUSION Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
2006	C	`conf`	Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures. FUSION Francois Caron, Manuel Davy, Arnaud Doucet, Emmanuel Duflos, Philippe Vanheeghe
2006	A*	`conf`	Fast particle smoothing: if I had a million particles. ICML Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang
2006	C	`conf`	Gradient-free maximum likelihood parameter estimation with particle filters. ACC George Poyiadjis, Sumeetpal S. Singh, Arnaud Doucet
2006	—	`conf`	Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo. ICASSP (3) Adam M. Johansen, Arnaud Doucet, Manuel Davy
2006	—	`conf`	Optimal Filtering For Partially Observed Point Processes Using Trans-Dimensional Sequential Monte Carlo. ICASSP (5) Arnaud Doucet, Luis Montesano, Ajay Jasra
2006	—	`conf`	Particle Filter as A Controlled Markov Chain For On-Line Parameter Estimation in General State Space Models. ICASSP (3) George Poyiadjis, Sumeetpal S. Singh, Arnaud Doucet
2006	—	`conf`	Sequential Sampling for Dynamic Environment Map Illumination. Rendering Techniques Abhijeet Ghosh, Arnaud Doucet, Wolfgang Heidrich
2006	—	`conf`	Sequential sampling for dynamic environment maps. SIGGRAPH Sketches Abhijeet Ghosh, Arnaud Doucet, Wolfgang Heidrich
2005	A*	`conf`	Adapting two-class support vector classification methods to many class problems. ICML Simon I. Hill, Arnaud Doucet
2005	—	`conf`	Joint Bayesian model selection and blind equalization of ISI channels. ISSPA Zaifei Liu, Arnaud Doucet
2005	J	`jnl`	Monte Carlo methods for signal processing: a review in the statistical signal processing context. IEEE Signal Process. Mag. Arnaud Doucet, Xiaodong Wang
2005	—	`conf`	On-Line Parameter Estimation in General State-Space Models. CDC/ECC Christophe Andrieu, Arnaud Doucet, Vladislav Z. B. Tadic
2005	—	`conf`	Particle methods for optimal filter derivative: application to parameter estimation. ICASSP (5) George Poyiadjis, Arnaud Doucet, Sumeetpal S. Singh
2005	—	`conf`	Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning. CDC/ECC Sumeetpal S. Singh, Nikolaos Kantas, Arnaud Doucet, Ba-Ngu Vo, Robin J. Evans
2005	—	`conf`	Space alternating data augmentation: application to finite mixture of Gaussians and speaker recognition. ICASSP (4) Arnaud Doucet, Stéphane Sénécal, Tomoko Matsui
2005	A	`conf`	Toward Practical N2 Monte Carlo: the Marginal Particle Filter. UAI Mike Klaas, Nando de Freitas, Arnaud Doucet
2004	—	`conf`	A Rao-Blackwellized particle filter for INS/GPS integration. ICASSP (3) Audrey Giremus, Arnaud Doucet, Vincent Calmettes, Jean-Yves Tourneret
2004	J	`jnl`	Blind SOS subspace channel estimation and equalization techniques exploiting spatial diversity in OFDM systems. Digit. Signal Process. Hassan Ali, Arnaud Doucet, Yingbo Hua
2004	J	`jnl`	Editorial. EURASIP J. Adv. Signal Process. Petar M. Djuric, Simon J. Godsill, Arnaud Doucet
2004	—	`conf`	Fixed-lag sequential Monte Carlo. EUSIPCO Arnaud Doucet, Stéphane Sénécal
2004	—	`conf`	Nonlinear filtering approaches for INS/GPS integration. EUSIPCO Audrey Giremus, Arnaud Doucet, Anne-Christine Escher, Jean-Yves Tourneret
2004	J	`jnl`	Particle Filtering for Joint Symbol and Code Delay Estimation in DS Spread Spectrum Systems in Multipath Environment. EURASIP J. Adv. Signal Process. Elena Punskaya, Arnaud Doucet, William J. Fitzgerald
2004	J	`jnl`	Particle methods for change detection, system identification, and control. Proc. IEEE Christophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, Vladislav Z. B. Tadic
2004	B	`conf`	The cross-entropy method for blind multiuser detection. ISIT Zaifei Liu, Arnaud Doucet, Sumeetpal S. Singh
2003	J	`jnl`	A new class of soft MIMO demodulation algorithms. IEEE Trans. Signal Process. Bin Dong, Xiaodong Wang, Arnaud Doucet
2003	J	`jnl`	An Introduction to MCMC for Machine Learning. Mach. Learn. Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan
2003	J	`jnl`	Copulas: a new insight into positive time-frequency distributions. IEEE Signal Process. Lett. Manuel Davy, Arnaud Doucet
2003	J	`jnl`	Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions. IEEE Trans. Signal Process. Christophe Andrieu, Manuel Davy, Arnaud Doucet
2003	A*	`conf`	Maintaining Multi-Modality through Mixture Tracking. ICCV Jaco Vermaak, Arnaud Doucet, Patrick Pérez
2003	—	`conf`	Online expectation-maximization type algorithms for parameter estimation in general state space models. ICASSP (6) Christophe Andrieu, Arnaud Doucet
2003	—	`conf`	Optimisation of particle filters using simultaneous perturbation stochastic approximation. ICASSP (6) Bao Ling Chan, Arnaud Doucet, Vladislav Z. B. Tadic
2003	—	`conf`	Particle filtering for joint symbol and parameter estimation in DS spread spectrum systems. ICASSP (4) Elena Punskaya, Arnaud Doucet, William J. Fitzgerald
2003	—	`conf`	Sampling-based near-optimal MIMO demodulation algorithms. CDC Bin Dong, Xiaodong Wang, Arnaud Doucet
2003	—	`conf`	Sequential Bayesian Kernel Regression. NIPS Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
2003	—	`conf`	Stochastic approximation for optimal observer trajectory planning. CDC Sumeetpal S. Singh, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans
2003	C	`conf`	Two time-scale stochastic approximation for constrained stochastic optimization and constrained Markov decision problems. ACC Vladislav Z. B. Tadic, Arnaud Doucet, Sumeetpal S. Singh
2002	—	`conf`	A particle filtering technique for Jump Markov Systems. EUSIPCO Christophe Andrieu, Manuel Davy, Arnaud Doucet
2002	C	`conf`	A policy gradient method for SMDPs with application to call admission control. ICARCV Sumetpal Singh, Vladislav Z. B. Tadic, Arnaud Doucet
2002	J	`jnl`	A survey of convergence results on particle filtering methods for practitioners. IEEE Trans. Signal Process. Dan Crisan, Arnaud Doucet
2002	J	`jnl`	Bayesian curve fitting using MCMC with applications to signal segmentation. IEEE Trans. Signal Process. Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald
2002	Misc	`conf`	Efficient particle filtering for Jump Markov Systems. ICASSP Christophe Andrieu, Manuel Davy, Arnaud Doucet
2002	—	`conf`	Exponential forgetting and geometric ergodicity in state-space models. CDC Vladislav Z. B. Tadic, Arnaud Doucet
2002	J	`jnl`	Marginal maximum a posteriori estimation using Markov chain Monte Carlo. Stat. Comput. Arnaud Doucet, Simon J. Godsill, Christian P. Robert
2002	J	`jnl`	Monte Carlo smoothing with application to audio signal enhancement. IEEE Trans. Signal Process. William Fong, Simon J. Godsill, Arnaud Doucet, Mike West
2002	—	`conf`	On the use and misuse of particle filtering in digital communications. EUSIPCO Elena Punskaya, Arnaud Doucet, William J. Fitzgerald
2002	C	`conf`	On-line optimization of sequential Monte Carlo methods using stochastic approximation. ACC Arnaud Doucet, Vladislav Z. B. Tadic
2002	J	`jnl`	Optimized support vector machines for nonstationary signal classification. IEEE Signal Process. Lett. Manuel Davy, Arthur Gretton, Arnaud Doucet, Peter J. W. Rayner
2002	J	`jnl`	Particle methods for Bayesian modeling and enhancement of speech signals. IEEE Trans. Speech Audio Process. Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, Simon J. Godsill
2002	A*	`conf`	Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo. ICML Shien-Shin Tham, Arnaud Doucet, Kotagiri Ramamohanarao
2001	—	`ch.`	An Introduction to Sequential Monte Carlo Methods. Sequential Monte Carlo Methods in Practice Arnaud Doucet, Nando de Freitas, Neil J. Gordon
2001	J	`jnl`	Bayesian deconvolution of noisy filtered point processes. IEEE Trans. Signal Process. Christophe Andrieu, Eric Barat, Arnaud Doucet
2001	B	`conf`	Convergence properties of Bayesian evolutionary algorithms with population size greater than 1. CEC Si-Eun Lee, Byoung-Tak Zhang, Arnaud Doucet
2001	J	`jnl`	Iterative algorithms for state estimation of jump Markov linear systems. IEEE Trans. Signal Process. Arnaud Doucet, Christophe Andrieu
2001	J	`jnl`	Model selection by MCMC computation. Signal Process. Christophe Andrieu, Petar M. Djuric, Arnaud Doucet
2001	J	`jnl`	Optimal Estimation of Amplitude and Phase Modulated Signals. Monte Carlo Methods Appl. Christophe Andrieu, Arnaud Doucet
2001	J	`jnl`	Particle filtering for demodulation in fading channels with non-Gaussian additive noise. IEEE Trans. Commun. Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald
2001	J	`jnl`	Particle filters for state estimation of jump Markov linear systems. IEEE Trans. Signal Process. Arnaud Doucet, Neil J. Gordon, Vikram Krishnamurthy
2001	—	`conf`	Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS Christophe Andrieu, Nando de Freitas, Arnaud Doucet
2001	J	`jnl`	Robust Full Bayesian Learning for Radial Basis Networks. Neural Comput. Christophe Andrieu, Nando de Freitas, Arnaud Doucet
2001	—	`ch.`	Sequential Monte Carlo Methods for Optimal Filtering. Sequential Monte Carlo Methods in Practice Christophe Andrieu, Arnaud Doucet, Elena Punskaya
2001	—	`book`	Sequential Monte Carlo Methods in Practice Arnaud Doucet, Nando de Freitas, Neil J. Gordon
2000	Misc	`conf`	Markov chain Monte Carlo data association for target tracking. ICASSP Niclas Bergman, Arnaud Doucet
2000	Misc	`conf`	Monte Carlo filtering and smoothing with application to time-varying spectral estimation. ICASSP Arnaud Doucet, Simon J. Godsill, Mike West
2000	J	`jnl`	On sequential Monte Carlo sampling methods for Bayesian filtering. Stat. Comput. Arnaud Doucet, Simon J. Godsill, Christophe Andrieu
2000	Misc	`conf`	On-line non-stationary ICA using mixture models. ICASSP A. Ahmed, Christophe Andrieu, Arnaud Doucet, Peter J. W. Rayner
2000	A	`conf`	Particle filtering for non-stationary speech modelling and enhancement. INTERSPEECH Jaco Vermaak, Christophe Andrieu, Arnaud Doucet
2000	Misc	`conf`	Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels. ICASSP Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald
2000	A	`conf`	Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart Russell
2000	A	`conf`	Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI Christophe Andrieu, Nando de Freitas, Arnaud Doucet
2000	J	`jnl`	Sequential Monte Carlo Methods to Train Neural Network Models. Neural Comput. João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee, Arnaud Doucet
2000	—	`conf`	Sequential simulation-based estimation of jump Markov linear systems. CDC Arnaud Doucet, Neil J. Gordon, Vikram Krishnamurthy
2000	J	`jnl`	Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models. IEEE Trans. Inf. Theory Christophe Andrieu, Arnaud Doucet
2000	J	`jnl`	Stochastic sampling algorithms for state estimation of jump Markov linear systems. IEEE Trans. Autom. Control. Arnaud Doucet, Andrew Logothetis, Vikram Krishnamurthy
2000	—	`conf`	The Unscented Particle Filter. NIPS Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan
1999	J	`jnl`	A Bayesian approach to harmonic retrieval with clipped data. Signal Process. Christophe Andrieu, Arnaud Doucet
1999	J	`jnl`	An improved method for uniform simulation of stable minimum phase real ARMA (p, q) processes. IEEE Signal Process. Lett. Christophe Andrieu, Arnaud Doucet
1999	Misc	`conf`	Iterative algorithms for optimal state estimation of jump Markov linear systems. ICASSP Arnaud Doucet, Christophe Andrieu
1999	J	`jnl`	Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC. IEEE Trans. Signal Process. Christophe Andrieu, Arnaud Doucet
1999	Misc	`conf`	Marginal MAP estimation using Markov chain Monte Carlo. ICASSP Christian P. Robert, Arnaud Doucet, Simon J. Godsill
1999	—	`conf`	Robust Full Bayesian Methods for Neural Networks. NIPS Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet
1999	—	`conf`	Sequential Bayesian wavelet denoising. ISSPA Mark J. Coates, Arnaud Doucet
1999	J	`jnl`	Simulation-based methods for blind maximum-likelihood filter identification. Signal Process. Olivier Cappé, Arnaud Doucet, Marc Lavielle, Eric Moulines
1998	—	`conf`	Bayesian deconvolution of poissonian point sources. EUSIPCO Guillaume Stawinski, Arnaud Doucet, Patrick Duvaut
1998	—	`conf`	Efficient stochastic maximum a posteriori estimation for harmonic signals. EUSIPCO Christophe Andrieu, Arnaud Doucet
1998	—	`conf`	Global Optimisation of Neural Network Models via Sequential Sampling. NIPS João F. G. de Freitas, Mahesan Niranjan, Arnaud Doucet, Andrew H. Gee
1998	Misc	`conf`	Joint Bayesian detection and estimation of sinusoids embedded in noise. ICASSP Christophe Andrieu, Arnaud Doucet, Patrick Duvaut
1998	—	`conf`	Robust Bayesian spectral analysis via MCMC sampling. EUSIPCO Arnaud Doucet, Christophe Andrieu
1997	J	`jnl`	Bayesian estimation of state-space models applied to deconvolution of Bernoulli - Gaussian processes. Signal Process. Arnaud Doucet, Patrick Duvaut
1996	—	`conf`	Bayesian deconvolution of cyclostationary processes based on point processes. EUSIPCO Christophe Andrieu, Patrick Duvaut, Arnaud Doucet
1996	—	`conf`	Fully Bayesian analysis of Hidden Markov models. EUSIPCO Arnaud Doucet, Patrick Duvaut
1996	Misc	`conf`	Fully Bayesian analysis of conditionally linear Gaussian state space models. ICASSP Arnaud Doucet, Patrick Duvaut
1996	Misc	`conf`	Instantaneous frequency estimation: Bayesian approaches versus reassignment-application to gravitational waves. ICASSP Patrick Duvaut, Arnaud Doucet, Christophe Veaux, Patrick Flandrin