{"id":21925830,"url":"https://github.com/maximevandegar/normalizing-flows","last_synced_at":"2025-08-13T18:52:12.601Z","repository":{"id":108200903,"uuid":"209642604","full_name":"MaximeVandegar/Normalizing-Flows","owner":"MaximeVandegar","description":"A repository to learn about Flows, mostly from papers","archived":false,"fork":false,"pushed_at":"2020-09-08T15:08:58.000Z","size":5331,"stargazers_count":23,"open_issues_count":0,"forks_count":3,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-07-02T14:49:04.062Z","etag":null,"topics":["density-estimation","generative-model","inference","normalizing-flows","variational-inference"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MaximeVandegar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-09-19T20:25:46.000Z","updated_at":"2025-06-06T05:56:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"06a44d83-fb33-41f6-b554-c2d3efd7dbc9","html_url":"https://github.com/MaximeVandegar/Normalizing-Flows","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MaximeVandegar/Normalizing-Flows","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximeVandegar%2FNormalizing-Flows","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximeVandegar%2FNormalizing-Flows/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximeVandegar%2FNormalizing-Flows/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximeVandegar%2FNormalizing-Flows/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MaximeVandegar","download_url":"https://codeload.github.com/MaximeVandegar/Normalizing-Flows/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximeVandegar%2FNormalizing-Flows/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270294671,"owners_count":24560334,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-13T02:00:09.904Z","response_time":66,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["density-estimation","generative-model","inference","normalizing-flows","variational-inference"],"created_at":"2024-11-28T21:20:16.946Z","updated_at":"2025-08-13T18:52:12.563Z","avatar_url":"https://github.com/MaximeVandegar.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Normalizing Flows\n\n***\n\n## Resources\n\n##### [Sylvester Normalizing Flow For Variational Inference]\n - https://www.youtube.com/watch?v=VeYyUcIDVHI\n \n##### [CS480/680 Lecture 6: Normalizing flows (Priyank Jaini)]\n- https://www.youtube.com/watch?v=3nmBnudFAR8\n\n##### [INFO8004: FFJORD: Free-Form Continuous Dynamics For Scalable Reversible Generative Models (Joeri Hermans)]\n- https://glouppe.github.io/info8004-advanced-machine-learning/pdf/lec8-joeri.pdf\n\n### Papers:\n\n##### [Variational Inference with Normalizing Flows]\n- Variational Inference with Normalizing Flows [[pdf]](https://arxiv.org/pdf/1505.05770.pdf)\n- *Danilo Jimenez Rezende, Shakir Mohamed*\n- `2015-05-21`\n\n##### [Density estimation using Real NVP]\n- Density estimation using Real NVP [[pdf]](https://arxiv.org/pdf/1605.08803.pdf)\n- *Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio*\n- `2017-02-27`\n\n##### [Masked Autoregressive Flow for Density Estimation]\n- Masked Autoregressive Flow for Density Estimation [[pdf]](https://arxiv.org/pdf/1705.07057.pdf)\n- *George Papamakarios, Theo Pavlakou, Iain Murray*\n- `2017-05-19`\n\n##### [Conditional Density Estimation with Bayesian Normalising Flows]\n- 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)\n- *Brian L Trippe, Richard E Turner*\n- `2018-02-14`\n\n##### [A RAD Approach to Deep Mixture Models]\n- A RAD Approach to Deep Mixture Models [[pdf]](https://arxiv.org/pdf/1903.07714.pdf)\n- *Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu, Hugo Larochelle*\n- `2019-03-18`\n\n##### [Residual Flows for Invertible Generative Modeling]\n- Residual Flows for Invertible Generative Modeling [[pdf]](https://arxiv.org/pdf/1906.02735.pdf)\n- *Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen*\n- `2019-06-06`\n\n\n##### [Unconstrained Monotonic Neural Networks]\n- Unconstrained Monotonic Neural Networks [[pdf]](https://arxiv.org/pdf/1908.05164.pdf)[[Summary]](https://github.com/MaximeVandegar/Normalizing-Flows/blob/master/Summaries/UMNN.md)\n- *Antoine Wehenkel, Gilles Louppe*\n- `2019-08-14`\n\n##### [Normalizing Flows: Introduction and Ideas]\n- Normalizing Flows: Introduction and Ideas [[pdf]](https://arxiv.org/pdf/1908.09257.pdf)\n- *Ivan Kobyzev, Simon Prince, Marcus A. Brubaker*\n- `2019-08-25`\n\n##### [Normalizing Flows for Probabilistic Modeling and Inference]\n- Normalizing Flows for Probabilistic Modeling and Inference [[pdf]](https://arxiv.org/pdf/1912.02762.pdf)\n- *George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan*\n- `2019-12-05`\n\n##### [Normalizing Flows on Tori and Spheres]\n- Normalizing Flows on Tori and Spheres [[pdf]](https://arxiv.org/pdf/2002.02428.pdf)\n- *Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer*\n- `2020-02-06`\n\n##### [Stochastic Normalizing Flows]\n- Stochastic Normalizing Flows [[pdf]](https://arxiv.org/pdf/2002.09547.pdf)\n- *Liam Hodgkinson, Chris van der Heide, Fred Roosta, Michael W. Mahoney*\n- `2020-02-21`\n\n##### [You say Normalizing Flows I see Bayesian Networks]\n- You say Normalizing Flows I see Bayesian Networks [[pdf]](https://arxiv.org/pdf/2006.00866.pdf)\n- *Antoine Wehenkel, Gilles Louppe*\n- `2020-06-01`\n\n##### [Graphical Normalizing Flows]\n- Graphical Normalizing Flows [[pdf]](https://arxiv.org/pdf/2006.02548.pdf)\n- *Antoine Wehenkel, Gilles Louppe*\n- `2020-06-03`\n\n##### [Flow Models for Arbitrary Conditional Likelihoods]\n- Flow Models for Arbitrary Conditional Likelihoods [[pdf]](https://arxiv.org/pdf/1909.06319.pdf)\n- *Yang Li, Shoaib Akbar, Junier B. Oliva*\n- `2020-06-08`\n\n#### Normalizing Flows in Scientific Applications\n\n##### [Density Deconvolution with Normalizing Flows]\n- 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)\n- *Tim Dockhorn, James A. Ritchie, Yaoliang Yu, Iain Murray*\n- `2020-06-16`\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaximevandegar%2Fnormalizing-flows","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmaximevandegar%2Fnormalizing-flows","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaximevandegar%2Fnormalizing-flows/lists"}