Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

doc: add references to recent papers using normflows #61

Merged
merged 1 commit into from
Mar 1, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 12 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -229,6 +229,18 @@ The package has been used in several research papers. Some of them are listed be
>
> [Code available on GitHub.](https://github.com/arnauqb/blackbirds)

> Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, and Stella X. Yu.
> [Learning to Transform for Generalizable Instance-wise Invariance](https://openaccess.thecvf.com/content/ICCV2023/html/Singhal_Learning_to_Transform_for_Generalizable_Instance-wise_Invariance_ICCV_2023_paper.html).
> Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 6211-6221, 2023.
>
> [Code available on GitHub.](https://github.com/sutkarsh/flow_inv)

> Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, and Maurizio Filippone.
> [One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models](https://proceedings.neurips.cc/paper_files/paper/2023/hash/1516a7f7507d5550db5c7f29e995ec8c-Abstract-Conference.html).
> Advances in Neural Information Processing Systems 36, pp. 6545–6567, 2023.
>
> [Code available on GitHub.](https://github.com/tranbahien/data-mollification)

Moreover, the [`boltzgen`](https://github.com/VincentStimper/boltzmann-generators) package
has been build upon `normflows`.

Expand Down
Loading