https://github.com/maximevandegar/normalizing-flows
A repository to learn about Flows, mostly from papers
https://github.com/maximevandegar/normalizing-flows
density-estimation generative-model inference normalizing-flows variational-inference
Last synced: 6 months ago
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A repository to learn about Flows, mostly from papers
- Host: GitHub
- URL: https://github.com/maximevandegar/normalizing-flows
- Owner: MaximeVandegar
- Created: 2019-09-19T20:25:46.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-09-08T15:08:58.000Z (over 5 years ago)
- Last Synced: 2025-07-02T14:49:04.062Z (7 months ago)
- Topics: density-estimation, generative-model, inference, normalizing-flows, variational-inference
- Size: 5.08 MB
- Stars: 23
- Watchers: 4
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Normalizing Flows
***
## Resources
##### [Sylvester Normalizing Flow For Variational Inference]
- https://www.youtube.com/watch?v=VeYyUcIDVHI
##### [CS480/680 Lecture 6: Normalizing flows (Priyank Jaini)]
- https://www.youtube.com/watch?v=3nmBnudFAR8
##### [INFO8004: FFJORD: Free-Form Continuous Dynamics For Scalable Reversible Generative Models (Joeri Hermans)]
- https://glouppe.github.io/info8004-advanced-machine-learning/pdf/lec8-joeri.pdf
### Papers:
##### [Variational Inference with Normalizing Flows]
- Variational Inference with Normalizing Flows [[pdf]](https://arxiv.org/pdf/1505.05770.pdf)
- *Danilo Jimenez Rezende, Shakir Mohamed*
- `2015-05-21`
##### [Density estimation using Real NVP]
- Density estimation using Real NVP [[pdf]](https://arxiv.org/pdf/1605.08803.pdf)
- *Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio*
- `2017-02-27`
##### [Masked Autoregressive Flow for Density Estimation]
- Masked Autoregressive Flow for Density Estimation [[pdf]](https://arxiv.org/pdf/1705.07057.pdf)
- *George Papamakarios, Theo Pavlakou, Iain Murray*
- `2017-05-19`
##### [Conditional Density Estimation with Bayesian Normalising Flows]
- Conditional Density Estimation with Bayesian Normalising Flows [[pdf]](https://arxiv.org/pdf/1802.04908.pdf)[[Summary]](https://github.com/MaximeVandegar/Normalizing-Flows/blob/master/Summaries/CDE_with_Flows.pdf)
- *Brian L Trippe, Richard E Turner*
- `2018-02-14`
##### [A RAD Approach to Deep Mixture Models]
- A RAD Approach to Deep Mixture Models [[pdf]](https://arxiv.org/pdf/1903.07714.pdf)
- *Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu, Hugo Larochelle*
- `2019-03-18`
##### [Residual Flows for Invertible Generative Modeling]
- Residual Flows for Invertible Generative Modeling [[pdf]](https://arxiv.org/pdf/1906.02735.pdf)
- *Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen*
- `2019-06-06`
##### [Unconstrained Monotonic Neural Networks]
- Unconstrained Monotonic Neural Networks [[pdf]](https://arxiv.org/pdf/1908.05164.pdf)[[Summary]](https://github.com/MaximeVandegar/Normalizing-Flows/blob/master/Summaries/UMNN.md)
- *Antoine Wehenkel, Gilles Louppe*
- `2019-08-14`
##### [Normalizing Flows: Introduction and Ideas]
- Normalizing Flows: Introduction and Ideas [[pdf]](https://arxiv.org/pdf/1908.09257.pdf)
- *Ivan Kobyzev, Simon Prince, Marcus A. Brubaker*
- `2019-08-25`
##### [Normalizing Flows for Probabilistic Modeling and Inference]
- Normalizing Flows for Probabilistic Modeling and Inference [[pdf]](https://arxiv.org/pdf/1912.02762.pdf)
- *George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan*
- `2019-12-05`
##### [Normalizing Flows on Tori and Spheres]
- Normalizing Flows on Tori and Spheres [[pdf]](https://arxiv.org/pdf/2002.02428.pdf)
- *Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer*
- `2020-02-06`
##### [Stochastic Normalizing Flows]
- Stochastic Normalizing Flows [[pdf]](https://arxiv.org/pdf/2002.09547.pdf)
- *Liam Hodgkinson, Chris van der Heide, Fred Roosta, Michael W. Mahoney*
- `2020-02-21`
##### [You say Normalizing Flows I see Bayesian Networks]
- You say Normalizing Flows I see Bayesian Networks [[pdf]](https://arxiv.org/pdf/2006.00866.pdf)
- *Antoine Wehenkel, Gilles Louppe*
- `2020-06-01`
##### [Graphical Normalizing Flows]
- Graphical Normalizing Flows [[pdf]](https://arxiv.org/pdf/2006.02548.pdf)
- *Antoine Wehenkel, Gilles Louppe*
- `2020-06-03`
##### [Flow Models for Arbitrary Conditional Likelihoods]
- Flow Models for Arbitrary Conditional Likelihoods [[pdf]](https://arxiv.org/pdf/1909.06319.pdf)
- *Yang Li, Shoaib Akbar, Junier B. Oliva*
- `2020-06-08`
#### Normalizing Flows in Scientific Applications
##### [Density Deconvolution with Normalizing Flows]
- Density Deconvolution with Normalizing Flows [[pdf]](https://arxiv.org/pdf/2006.09396.pdf)[[Summary]](https://github.com/MaximeVandegar/Normalizing-Flows/blob/master/Summaries/DensityDeconvolutionWithNormalizingFlows.md)
- *Tim Dockhorn, James A. Ritchie, Yaoliang Yu, Iain Murray*
- `2020-06-16`