{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/general-invertible-transformations-for-flow-1","title":"General Invertible Transformations for Flow-based Generative Modeling","arxiv_id":null,"date":"2021-06-02","proceeding":"ICML Workshop INNF 2021 7","authors":["Jakub Mikolaj Tomczak"],"abstract":"In this paper, we present a new class of invertible transformations with an application to flow-based generative models. We indicate that many well-known invertible transformations in reversible logic and reversible neural networks could be derived from our proposition. Next, we propose two new coupling layers that are important building blocks of flow-based generative models. In the experiments on digit data, we present how these new coupling layers could be used in Integer Discrete Flows (IDF), and that they achieve better results than standard coupling layers used in IDF and RealNVP.","url_abs":"https://openreview.net/forum?id=MmiEW51-fJ","url_pdf":"https://openreview.net/pdf?id=MmiEW51-fJ","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"general-invertible-transformations-for-flow-1","repo_url":"https://github.com/jmtomczak/git_flow","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[{"method_slug":"affine-coupling","method_name":"Affine Coupling"},{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"normalizing-flows","method_name":"Normalizing Flows"},{"method_slug":"realnvp","method_name":"RealNVP"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}