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Graduate Student at University of Michigan!

I work on topics in uncertainty quantification for computationally expensive simulation models. Currently exploring:

  • Active learning
  • Neural ODEs and related methods
  • Bayesian Inference for Surrogate Model Training
  • Application of UQ Methods to Space Weather data.

Aniket Jivani's Projects

astut icon astut

some examples from active_subspaces repo, trying to understand methods better

polychaos.jl icon polychaos.jl

A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

resources icon resources

A public bookmark bar. Resources for computation, operations research, academia, and more.

shldataapp icon shldataapp

Testing deployment of toy app built with Dash.jl

slides icon slides

All Beamer presentations for meetings etc

surrbayesed icon surrbayesed

Bayesian OED when training a surrogate model on limited HF data. Check Overleaf for details.

svgd_scalable icon svgd_scalable

Exploring SVGD and checking out methods for improved scalability

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