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add Normalizing Flows with Multi-Scale Autoregressive Priors paper #6

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add Normalizing Flows with Multi-Scale Autoregressive Priors paper #6

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add Normalizing Flows with Multi-Scale Autoregressive Priors paper
ksachdeva Dec 6, 2020
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fix - correct the subsequent paper numbers
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12 changes: 8 additions & 4 deletions readme.md
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Expand Up @@ -134,19 +134,23 @@ A list of awesome resources for understanding and applying normalizing flows (NF

> Normalizing flows that learn the data manifold and probability density function on that manifold. ([Tweet](https://twitter.com/kylecranmer/status/1250129080395223040?lang=es) | [Authors Code](https://github.com/johannbrehmer/manifold-flow))

29. Jun 3, 2020 - [Equivariant Flows: exact likelihood generative learning for symmetric densities](https://arxiv.org/abs/2006.02425) by Jonas Köhler, Leon Klein, Frank Noé.
29. April 8, 2020 - [Normalizing Flows with Multi-Scale Autoregressive Priors](https://arxiv.org/abs/2004.03891) by Mahajan & Bhattacharyya et. al.

> Improves the representational power of flow-based models by introducing channel-wise dependencies in their latent space through multi-scale autoregressive priors (mAR) ([Authors Code](https://github.com/visinf/mar-scf))

30. Jun 3, 2020 - [Equivariant Flows: exact likelihood generative learning for symmetric densities](https://arxiv.org/abs/2006.02425) by Jonas Köhler, Leon Klein, Frank Noé.

> Shows that distributions generated by equivariant NFs faithfully reproduce symmetries in the underlying density. Proposes building blocks for flows which preserve typical symmetries in physical/chemical many-body systems. Shows that symmetry-preserving flows can provide better generalization and sampling efficiency.

30. Jun 15, 2020 - [Why Normalizing Flows Fail to Detect Out-of-Distribution Data]() by Kirichenko et. al.
31. Jun 15, 2020 - [Why Normalizing Flows Fail to Detect Out-of-Distribution Data]() by Kirichenko et. al.

> This study how traditional normalizing flow models can suffer from out-of-distribution data. They offer a solution to combat this issue by modifying the coupling layers. ([Tweet](https://twitter.com/polkirichenko/status/1272715634544119809) | [Authors Code](https://github.com/PolinaKirichenko/flows_ood))

31. July 15, 2020 - [AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows](https://arxiv.org/abs/2007.07435) by Dolatabadi etl. al.
32. July 15, 2020 - [AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows](https://arxiv.org/abs/2007.07435) by Dolatabadi etl. al.

> An adversarial attack method on image classifiers that use normalizing flows. ([Authors Code](https://github.com/hmdolatabadi/AdvFlow))

32. Sept 21, 2020 - [Haar Wavelet based Block Autoregressive Flows for Trajectories](https://arxiv.org/abs/2009.09878) by Bhattacharyya et. al.
33. Sept 21, 2020 - [Haar Wavelet based Block Autoregressive Flows for Trajectories](https://arxiv.org/abs/2009.09878) by Bhattacharyya et. al.
> Introduce a Haar wavelet-based block autoregressive model.

### 🛠️ Applications
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