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- title: Normalizing Flows Tutorial
date: 2018-01-17
url: https://blog.evjang.com/2018/01/nf1.html
authors:
- name: Eric Jang
description: |
[Part 1](https://blog.evjang.com/2018/01/nf1.html): Distributions and Determinants. [Part 2](https://blog.evjang.com/2018/01/nf2.html): Modern Normalizing Flows. Lots of great graphics.
- title: Normalizing Flows
date: 2018-04-03
url: https://akosiorek.github.io/norm_flows
authors:
- name: Adam Kosiorek
description: Introduction to flows covering change of variables, planar flow, radial flow, RNVP and autoregressive flows like MAF, IAF and Parallel WaveNet.
- title: Flow-based Deep Generative Models
date: 2018-10-13
url: https://lilianweng.github.io/lil-log/2018/10/13/flow-based-deep-generative-models
authors:
- name: Lilian Weng
description: Covers change of variables, NICE, RNVP, MADE, Glow, MAF, IAF, WaveNet, PixelRNN.
- title: Change of Variables for Normalizing Flows
date: 2018-10-21
url: https://nealjean.com/ml/change-of-variables
authors:
- name: Neal Jean
description: Short and simple explanation of change of variables theorem i.t.o. probability mass conservation.
- title: Chapter on flows from the book 'Deep Learning for Molecules and Materials'
date: 2020-08-19
date_added: 2022-06-13
url: https://dmol.pub/dl/flows
# NF chapter was added 2020-12-06 in commit
# https://github.com/whitead/dmol-book/commit/e6d0b3295b73184423ab3a331feba3edbc103c0a
# file url: https://github.com/whitead/dmol-book/blob/master/dl/flows.ipynb
authors:
- name: Andrew White
url: https://thewhitelab.org
github: https://github.com/whitead
description: A nice introduction starting with the change of variables formula (aka flow equation), going on to cover some common bijectors and finishing with a code example showing how to fit the double-moon distribution with TensorFlow Probability.