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Arnaud Doucet

Identifiers

  • name variant Arnaud Doucet 0.60 · backfill

Papers (65)

  1. Metropolis-Adjusted Diffusion Models stat.ML · 2026 · author #6
  2. On the Wasserstein Gradient Flow Interpretation of Drifting Models cs.LG · 2026 · author #6
  3. Permutation-Invariant Spectral Learning via Dyson Diffusion stat.ML · 2025 · author #5
  4. Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models cs.LG · 2024 · author #12
  5. Reinforced Self-Training (ReST) for Language Modeling cs.CL · 2023 · author #12
  6. Continuous diffusion for categorical data cs.CL · 2022 · author #7
  7. Replica Conditional Sequential Monte Carlo stat.CO · 2019 · author #2
  8. Bernoulli Race Particle Filters stat.CO · 2019 · author #2
  9. On the Impact of the Activation Function on Deep Neural Networks Training stat.ML · 2019 · author #2
  10. Unbiased Smoothing using Particle Independent Metropolis-Hastings stat.CO · 2019 · author #3
  11. Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets stat.ML · 2019 · author #5
  12. Hamiltonian Descent Methods math.OC · 2018 · author #5
  13. Scalable Monte Carlo inference for state-space models stat.ME · 2018 · author #3
  14. Hamiltonian Variational Auto-Encoder cs.LG · 2018 · author #2
  15. On the Selection of Initialization and Activation Function for Deep Neural Networks stat.ML · 2018 · author #2
  16. On the utility of Metropolis-Hastings with asymmetric acceptance ratio stat.CO · 2018 · author #2
  17. Asymptotic Bias of Stochastic Gradient Search math.ST · 2017 · author #2
  18. Piecewise-Deterministic Markov Chain Monte Carlo stat.ME · 2017 · author #4
  19. Filtering Variational Objectives cs.LG · 2017 · author #7
  20. Exponential Ergodicity of the Bouncy Particle Sampler stat.CO · 2017 · author #3
  21. Particle Value Functions cs.LG · 2017 · author #5
  22. On embedded hidden Markov models and particle Markov chain Monte Carlo methods stat.CO · 2016 · author #2
  23. Interacting Particle Markov Chain Monte Carlo stat.CO · 2016 · author #6
  24. Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm stat.ML · 2016 · author #3
  25. The Correlated Pseudo-Marginal Method stat.CO · 2015 · author #2
  26. The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method stat.ME · 2015 · author #3
  27. Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models stat.CO · 2015 · author #2
  28. Expectation Particle Belief Propagation stat.CO · 2015 · author #3
  29. On Markov chain Monte Carlo methods for tall data stat.ME · 2015 · author #2
  30. On Particle Methods for Parameter Estimation in State-Space Models stat.CO · 2014 · author #2
  31. Perfect simulation using atomic regeneration with application to Sequential Monte Carlo stat.CO · 2014 · author #2
  32. Asynchronous Anytime Sequential Monte Carlo stat.CO · 2014 · author #3
  33. Fast Computation of Wasserstein Barycenters stat.ML · 2013 · author #2
  34. A Lognormal Central Limit Theorem for Particle Approximations of Normalizing Constants math.PR · 2013 · author #3
  35. Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks cs.LG · 2013 · author #1
  36. Reversible Jump MCMC Simulated Annealing for Neural Networks cs.LG · 2013 · author #3
  37. Sequentially interacting Markov chain Monte Carlo methods math.ST · 2012 · author #3
  38. Perfect simulation for the Feynman-Kac law on the path space math.PR · 2012 · author #4
  39. Toward Practical N2 Monte Carlo: the Marginal Particle Filter stat.CO · 2012 · author #3
  40. Generalized Polya Urn for Time-varying Dirichlet Process Mixtures stat.ME · 2012 · author #3
  41. Distributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor Networks math.OC · 2012 · author #3
  42. New inference strategies for solving Markov Decision Processes using reversible jump MCMC cs.LG · 2012 · author #4
  43. On adaptive resampling strategies for sequential Monte Carlo methods math.ST · 2012 · author #2
  44. Sparsity-Promoting Bayesian Dynamic Linear Models stat.ME · 2012 · author #4
  45. Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation" stat.ME · 2012 · author #5
  46. Fluctuations of Interacting Markov Chain Monte Carlo Methods math.PR · 2012 · author #3
  47. On nonlinear Markov chain Monte Carlo math.ST · 2011 · author #3
  48. Uniform Stability of a Particle Approximation of the Optimal Filter Derivative math.ST · 2011 · author #2
  49. Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors stat.AP · 2011 · author #3
  50. Calibration and filtering for multi factor commodity models with seasonality: incorporating panel data from futures contracts q-fin.CP · 2011 · author #4
  51. Autoregressive Kernels For Time Series stat.ML · 2011 · author #2
  52. Forward Smoothing using Sequential Monte Carlo stat.ME · 2010 · author #2
  53. Particle approximation of the intensity measures of a spatial branching point process arising in multi-target tracking math.PR · 2010 · author #3
  54. Efficient Bayesian Inference for Switching State-Space Models using Discrete Particle Markov Chain Monte Carlo Methods stat.CO · 2010 · author #3
  55. Efficient Bayesian Inference for Generalized Bradley-Terry Models stat.ME · 2010 · author #3
  56. Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods" stat.CO · 2010 · author #4
  57. Interacting Markov chain Monte Carlo methods for solving nonlinear measure-valued equations math.PR · 2010 · author #2
  58. A Hierarchical Bayesian Framework for Constructing Sparsity-inducing Priors stat.ME · 2010 · author #3
  59. Channel Tracking for Relay Networks via Adaptive Particle MCMC cs.IT · 2010 · author #3
  60. Grouping Priors and the Bayesian Elastic Net stat.ME · 2010 · author #3
  61. A Backward Particle Interpretation of Feynman-Kac Formulae math.ST · 2009 · author #2
  62. On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods stat.CO · 2009 · author #4
  63. A note on convergence of the equi-energy sampler stat.CO · 2007 · author #3
  64. Bayesian Inference for Linear Dynamic Models with Dirichlet Process Mixtures math.ST · 2007 · author #3
  65. Sequential monte carlo samplers cond-mat · 2002 · author #2

Mentions

  • 2510.08535 #5 · arxiv_oai · confidence 0.70 Arnaud Doucet
  • 1310.4375 #2 · backfill · confidence 0.70 Arnaud Doucet
  • 1307.0181 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1301.3853 #1 · backfill · confidence 0.70 Arnaud Doucet
  • 1301.3833 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1211.2582 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1210.0376 #4 · backfill · confidence 0.70 Arnaud Doucet
  • 1207.1396 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1206.5254 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1206.4221 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1205.2643 #4 · backfill · confidence 0.70 Arnaud Doucet
  • 1203.0464 #2 · backfill · confidence 0.70 Arnaud Doucet
  • 1203.0106 #4 · backfill · confidence 0.70 Arnaud Doucet
  • 1201.1314 #5 · backfill · confidence 0.70 Arnaud Doucet
  • 1201.0480 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 2605.05118 #6 · arxiv_oai · confidence 0.70 Arnaud Doucet
  • 1107.3046 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1106.2525 #2 · backfill · confidence 0.70 Arnaud Doucet
  • 1106.0322 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1105.5850 #4 · backfill · confidence 0.70 Arnaud Doucet
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  • 1012.5390 #2 · backfill · confidence 0.70 Arnaud Doucet
  • 1012.5360 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1011.2437 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1011.1761 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1011.0834 #4 · backfill · confidence 0.70 Arnaud Doucet
  • 1009.5749 #2 · backfill · confidence 0.70 Arnaud Doucet
  • 1009.1914 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 1006.3151 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 2211.15089 #7 · arxiv_oai · confidence 0.70 Arnaud Doucet
  • 1001.4083 #3 · backfill · confidence 0.70 Arnaud Doucet
  • 0908.2556 #2 · backfill · confidence 0.70 Arnaud Doucet
  • 0905.2441 #4 · backfill · confidence 0.70 Arnaud Doucet
  • 0711.0164 #3 · backfill · confidence 0.70 Arnaud Doucet

Frequent Coauthors