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Solving the stochastic Burgers equation with a sensitivity derivative-driven Monte Carlo method

https://figshare.com/articles/Solving_the_stochastic_Burgers_equation_with_a_sensitivity_derivative-driven_Monte-Carlo_method/3561306/2

Code and all details included + Docker file for multi-platform installation.

Congrats to Paul Hauseux and Jack Hale.

Stéphane Bordas

Upcoming events

  • Eleni Koronaki: From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics

Past events

  • Vivek OOmmen: The effectiveness of PINNs in solving inverse heat transfer problems
  • Anina Šarkić: Machine Learning in Wind Engineering
  • Diego Kozlowski: Machine Learning on graphs
  • Tittu Mathew: Bayesian uncertainty quantification and model selection
  • Arnaud Mazier: Decision Trees methods, an overview of the white-boxes

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Recent posts

  • Eleni Koronaki: From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics
  • Vivek OOmmen: The effectiveness of PINNs in solving inverse heat transfer problems
  • Anina Šarkić: Machine Learning in Wind Engineering
  • Diego Kozlowski: Machine Learning on graphs
  • Tittu Mathew: Bayesian uncertainty quantification and model selection

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