{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9798612","patent":{"patent_number":"US-9798612","title":"Artifact correction using neural networks","assignee":null,"inventors":[],"filing_date":"2016-01-14T00:00:00.000Z","publication_date":"2017-10-24T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06T","G06T","G06T","G06T","G06T"],"num_claims":16,"abstract":"Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting a corrupted data sample using a trained deep neural network, the method including obtaining a feature representation of a corrupted data sample; and modifying the feature representation of the corrupted data sample to generate a feature representation of a corrected data sample by iteratively processing a current version of the feature representation of the corrupted data sample using the trained deep neural network to generate a current corruption score for the current version of the feature representation of the corrupted data sample and generating a less-corrupted version of the feature representation by performing an iteration of gradient descent against the current version of the feature representation of the corrupted data sample to reduce the current corruption score."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Artifact correction using neural networks","description":"Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting a corrupted data sample using a trained deep neural network, the method including obtaini","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9798612","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9798612","citation_suggestion":"Patentable. \"Artifact correction using neural networks\" (US-9798612). https://patentable.app/patents/US-9798612","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9798612","json":"https://patentable.app/api/llm-context/US-9798612","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T08:23:00.052Z"}