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Commits on Jul 15, 2020

• Updated README

  

  Rob Cornish

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Commits on Nov 22, 2019

• Replaced pipenv with conda env

  

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Commits on Nov 18, 2019

• Updates to config

  

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Commits on Nov 14, 2019

• Added NSF-LGF config for hepmass

  

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• Implemented cosine annealing of learning rate

  

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• Implemented gradient clipping

  

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• Added NSF-LGF config for Miniboone and Gas

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Commits on Nov 13, 2019

• Added a soft LeakyReLU activation for B-NAF

  

  Rob Cornish

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Commits on Nov 12, 2019

• Added LinearBijection and RandomChannelwisePermutationBijection

  

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Commits on Nov 11, 2019

• Added BNAF bijection

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  Rob Cornish

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• Refactored NSF bijections and tidied config

  

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• Added Rational Quadratic bijections from `nsf` repository

  

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Commits on Nov 10, 2019

• Improved computation of TanhBijection Jacobian

  

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Commits on Nov 9, 2019

• Improvements to batch norm running averages

  

  Rob Cornish

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• Usability improvements to experimental setup

  

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• Fixed setting of batch norm momentum in schemas.py

  

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• Allowed passing through entire training set before evaluation

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• Unified simple element-wise bijections

  

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Commits on Nov 8, 2019

• Updated Glow config

  

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• Allowed disabling early stopping for image datasets

  

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• Merged affine transform back into batch norm with option to disable

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Commits on Nov 7, 2019

• Made dequantisation occur at each density evaluation

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Commits on Nov 6, 2019

• Updated UCI download command in README

  

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• Renamed --print-density argument to --print-model

  

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• Achieving good performance with SoS on 2D datasets

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• Merge branch 'nsf' into devel

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• add neural spline flows bijections

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• Fixed bug to restore previous 2D performance

  

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• Improvements to command-line interface

  

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• Decoupled batch normalisation from affine step

  

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• Put autoregressive MLP stuff into its own class

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  Rob Cornish

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• Added Sum-of-Squares Polynomial Flow bijection

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• Enabled specifying command-line config arguments more easily

  

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Commits on Nov 5, 2019

• Specialised ACL mask types to improve efficiency

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• Made imports in main.py dynamic to improve responsiveness

  

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