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    5 repositories

    • dais

      Public
      Code used for the paper "Doubly Adaptive Importance Sampling" by Willem van den Boom, Andrea Cremaschi and Alexandre H. Thiery
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Jun 27, 2025Jun 27, 2025

    • manifold-mcmc-for-diffusions

      Public
      Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
      sdemcmchmc
      sdemcmchmcdiffusions
      Jupyter Notebook
      •
      MIT License
      •3•10•0•1•Updated May 28, 2025May 28, 2025

    • manifold_lifting

      Public
      Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
      bayesian-inferencemcmcinverse-problems
      bayesian-inferencemcmcinverse-problemshmc
      Jupyter Notebook
      •0•7•1•0•Updated Aug 16, 2023Aug 16, 2023

    • data-assimilation

      Public
      Python code for data assimilation methods
      Python
      •
      MIT License
      •15•56•5•0•Updated Feb 7, 2023Feb 7, 2023

    • decoupled-DNN-calibration

      Public
      Jupyter Notebook
      •0•1•0•0•Updated Dec 5, 2019Dec 5, 2019
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