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Published January 28, 2021 | Version 1.3.1
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ReactiveMP.jl: a Julia package for automatic Bayesian inference on a factor graph with reactive message passing.

Authors/Creators

  • 1. Eindhoven University of Technology Eindhoven

Description

ReactiveMP v3.0.0

Diff since v2.5.1

Closed issues:

  • Networks of discrete random variables (#98)
  • Test rules macro fails with indexed rules (#216)
  • Fix broken demo on Kalman Smoothing with neural network driven dynamics (#225)
  • Free energy calculation with mean-field constrain encounters a MethodError (#233)

Merged pull requests:

  • Add CVI implementation for the delta node (#188) (@Nimrais)
  • Add getnodefn function in rules (#217) (@bvdmitri)
  • Support indexed rules in @call_rule macro (#218) (@bvdmitri)
  • Develop delta fn eus fix indexed call rule (#219) (@bvdmitri)
  • Develop delta fn cvi fix indexed rules (#220) (@bvdmitri)
  • Fix interaction between autovar and variables in a form of a tuple (#221) (@bvdmitri)
  • Fix KLSTM demo (#227) (@Chengfeng-Jia)
  • Reduce the training time of neural network (#228) (@Chengfeng-Jia)

Notes

Please cite this research as below.

Files

biaslab/ReactiveMP.jl-v3.0.0.zip

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