{"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/learning-independent-features-with","title":"Learning Independent Features with Adversarial Nets for Non-linear ICA","arxiv_id":"1710.05050","date":"2017-10-13","proceeding":"ICLR 2018 1","authors":["Philemon Brakel","Yoshua Bengio"],"abstract":"Reliable measures of statistical dependence could be useful tools for\nlearning independent features and performing tasks like source separation using\nIndependent Component Analysis (ICA). Unfortunately, many of such measures,\nlike the mutual information, are hard to estimate and optimize directly. We\npropose to learn independent features with adversarial objectives which\noptimize such measures implicitly. These objectives compare samples from the\njoint distribution and the product of the marginals without the need to compute\nany probability densities. We also propose two methods for obtaining samples\nfrom the product of the marginals using either a simple resampling trick or a\nseparate parametric distribution. Our experiments show that this strategy can\neasily be applied to different types of model architectures and solve both\nlinear and non-linear ICA problems.","url_abs":"http://arxiv.org/abs/1710.05050v1","url_pdf":"http://arxiv.org/pdf/1710.05050v1.pdf","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":"learning-independent-features-with","repo_url":"https://github.com/pbrakel/anica","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[],"methods":[{"method_slug":"ica","method_name":"ICA"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1710.05050","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1710.05050"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/pbrakel/anica","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"unverified":4},"by_repo_kind":{"official":{"samples":4,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"fdca466e9c315a50","entry":"get_data","repo":"pbrakel/anica","repo_kind":"official","path":"datasets/synthetic.py","file_url":"https://github.com/pbrakel/anica/blob/HEAD/datasets/synthetic.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"fdca466e9c315a50"}},{"code_sha256_prefix":"f876a3ab920edc12","entry":"lognormdens","repo":"pbrakel/anica","repo_kind":"official","path":"utils.py","file_url":"https://github.com/pbrakel/anica/blob/HEAD/utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"f876a3ab920edc12"}},{"code_sha256_prefix":"c34b95406621e6ec","entry":"plot_signals","repo":"pbrakel/anica","repo_kind":"official","path":"utils.py","file_url":"https://github.com/pbrakel/anica/blob/HEAD/utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c34b95406621e6ec"}},{"code_sha256_prefix":"2d1e73fba1e8806c","entry":"plot_signals_single","repo":"pbrakel/anica","repo_kind":"official","path":"utils.py","file_url":"https://github.com/pbrakel/anica/blob/HEAD/utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"2d1e73fba1e8806c"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}