{"url":"/task/time-series-alignment","name":"Time Series Alignment","slug":"time-series-alignment","description_markdown":null,"categories":[{"name":"Time Series","url":"/area/time-series"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":18,"papers_with_code":9,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[{"url":"/dataset/artificial-signal-data-for-signal-alignment","name":"Artificial signal data for signal alignment testing","full_name":"","num_papers_in_archive":1},{"url":"/dataset/mtic","name":"MTic","full_name":"MADHAVLab Tic","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[{"url":"/task/time-series","name":"Time Series Analysis"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":9,"of":9,"tagged_in_all":18,"items":[{"url":"/paper/taming-pre-trained-llms-for-generalised-time","title":"CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning","date":"2024-03-12","arxiv_id":"2403.07300","repositories_listed":2,"syntology":{"n":5,"n_ran":3,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/timepoint-accelerated-time-series-alignment","title":"TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning","date":"2025-05-29","arxiv_id":"2505.23475","repositories_listed":1,"syntology":{"n":15,"n_ran":8,"n_unverified":7,"n_pointer_only":1}},{"url":"/paper/gaze-guided-learning-avoiding-shortcut-bias","title":"Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification","date":"2025-04-08","arxiv_id":"2504.05583","repositories_listed":1,"syntology":null},{"url":"/paper/dejavid-encoder-agnostic-learned-temporal","title":"DejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification","date":"2025-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/unraveling-anomalies-in-time-unsupervised","title":"Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry","date":"2024-06-14","arxiv_id":"2406.09825","repositories_listed":1,"syntology":null},{"url":"/paper/llm4ts-two-stage-fine-tuning-for-time-series","title":"LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters","date":"2023-08-16","arxiv_id":"2308.08469","repositories_listed":1,"syntology":{"n":8,"n_ran":4,"n_unverified":4,"n_pointer_only":0}},{"url":"/paper/closed-form-diffeomorphic-transformations-for","title":"Closed-Form Diffeomorphic Transformations for Time Series Alignment","date":"2022-06-16","arxiv_id":"2206.08107","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/time-series-alignment-with-global-invariances","title":"Time Series Alignment with Global Invariances","date":"2020-02-10","arxiv_id":"2002.03848","repositories_listed":1,"syntology":null},{"url":"/paper/diffeomorphic-temporal-alignment-nets","title":"Diffeomorphic Temporal Alignment Nets","date":"2019-12-10","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":4,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}