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Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models

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Neural Approximate Sufficient Statistics


Official codes for paper "Neural Approximate Sufficient Statistics for Implict Models", ICLR 21 spotlight, 2010.10079


Package dependencies

  • Python 3
  • Pytorch
  • Matplotlib

Summary statistics

at /nn

  • Mean as statistics (MSN.py)
  • Infomax statistics (ISN.py)
  • Score-matching statistics (SSN.py)

Neural density estimators

at /nde

  • Mixture Density Network (MDN.py)
  • Maksed Autoregressive Flow (MAF.py)

Likelihood-free algorithms

at /algorithms

  • Sequential Monte Carlo ABC (SMC_ABC.py)
  • Sequential Monte Carlo ABC with s.s (SMC2_ABC.py)
  • Sequential Neural Likelihood (SNL_ABC.py)
  • Sequential Neural Likelihood with s.s (SNL2_ABC.py)

Inference problems

at /problems

  • Ising Model
  • Gaussian copula Model
  • Ornstein-Uhlenbeck process

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Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models

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