{"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/gaussian-process-latent-variable-alignment","title":"Gaussian Process Latent Variable Alignment Learning","arxiv_id":"1803.02603","date":"2018-03-07","proceeding":null,"authors":["Ieva Kazlauskaite","Carl Henrik Ek","Neill D. F. Campbell"],"abstract":"We present a model that can automatically learn alignments between\nhigh-dimensional data in an unsupervised manner. Our proposed method casts\nalignment learning in a framework where both alignment and data are modelled\nsimultaneously. Further, we automatically infer groupings of different types of\nsequences within the same dataset. We derive a probabilistic model built on\nnon-parametric priors that allows for flexible warps while at the same time\nproviding means to specify interpretable constraints. We demonstrate the\nefficacy of our approach with superior quantitative performance to the\nstate-of-the-art approaches and provide examples to illustrate the versatility\nof our model in automatic inference of sequence groupings, absent from previous\napproaches, as well as easy specification of high level priors for different\nmodalities of data.","url_abs":"http://arxiv.org/abs/1803.02603v3","url_pdf":"http://arxiv.org/pdf/1803.02603v3.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":"gaussian-process-latent-variable-alignment","repo_url":"https://github.com/IevaKazlauskaite/GPLVM_alignment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1803.02603","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1803.02603"}},"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/IevaKazlauskaite/GPLVM_alignment","reach":null}],"summary":{"unverified":2},"by_repo_kind":{"listed":{"samples":2,"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":2,"samples":[{"code_sha256_prefix":"d57572a09b498e8b","entry":"normalise_data","repo":"IevaKazlauskaite/GPLVM_alignment","repo_kind":"listed","path":"Alignment.py","file_url":"https://github.com/IevaKazlauskaite/GPLVM_alignment/blob/HEAD/Alignment.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"d57572a09b498e8b"}},{"code_sha256_prefix":"162517e3bc7438b8","entry":"standard_pca_initialisation","repo":"IevaKazlauskaite/GPLVM_alignment","repo_kind":"listed","path":"Alignment.py","file_url":"https://github.com/IevaKazlauskaite/GPLVM_alignment/blob/HEAD/Alignment.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"162517e3bc7438b8"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}