{"about":{"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.","site":"https://codewithpapers.app","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","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/dynamic-time-warping/papers/ran/1","list_of":"/task/dynamic-time-warping","task":"Dynamic Time Warping","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,23],"of":23,"counts":{"archive_papers_tagged":433,"with_a_code_link":130,"where_syntology_ran_a_sample":23,"not_listed_spam_title":0,"listed":433,"listed_where_code_ran":23,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":19,"every_run_a_failure_of_syntologys_instrument":4,"listed_with_a_run_with_no_instrument_failure":19,"listed_every_run_a_failure_of_syntologys_instrument":4,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/dynamic-time-warping/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/timepoint-accelerated-time-series-alignment","slug":"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":9,"n_constructed":0,"n_ran_checked":7,"n_instrument":2,"n_unverified":6,"n_honours":1,"n_violates":0,"n_no_contract":6,"n_pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/timepoint-accelerated-time-series-alignment#ran","syntology_url":"https://syntology.ai/paper/2505.23475","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.23475"}},"official":{"repos":["bgu-cs-vil/timepoint"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":6,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/just-label-the-repeats-for-in-the-wild-audio","slug":"just-label-the-repeats-for-in-the-wild-audio","title":"Just Label the Repeats for In-The-Wild Audio-to-Score Alignment","date":"2024-11-11","arxiv_id":"2411.07428","repositories_listed":1,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/just-label-the-repeats-for-in-the-wild-audio#ran","syntology_url":"https://syntology.ai/paper/2411.07428","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.07428"}},"official":{"repos":["irmakbky/jltr-alignment"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/procedure-aware-surgical-video-language","slug":"procedure-aware-surgical-video-language","title":"Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation","date":"2024-09-30","arxiv_id":"2410.00263","repositories_listed":2,"syntology":{"n":15,"n_ran":9,"n_constructed":1,"n_ran_checked":8,"n_instrument":1,"n_unverified":6,"n_honours":1,"n_violates":1,"n_no_contract":6,"n_pointer_only":15,"phrase":"9 ran (of which 1 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 1 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/procedure-aware-surgical-video-language#ran","syntology_url":"https://syntology.ai/paper/2410.00263","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.00263"}},"official":null}},{"url":"/paper/posesync-robust-pose-based-video","slug":"posesync-robust-pose-based-video","title":"PoseSync: Robust pose based video synchronization","date":"2023-08-24","arxiv_id":"2308.12600","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/posesync-robust-pose-based-video#ran","syntology_url":"https://syntology.ai/paper/2308.12600","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.12600"}},"official":{"repos":["infocusp/posesync"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/deep-declarative-dynamic-time-warping-for-end","slug":"deep-declarative-dynamic-time-warping-for-end","title":"Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths","date":"2023-03-19","arxiv_id":"2303.10778","repositories_listed":1,"syntology":{"n":18,"n_ran":15,"n_constructed":0,"n_ran_checked":15,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":15,"n_pointer_only":0,"phrase":"15 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 0 honoured, 0 violated, 15 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/deep-declarative-dynamic-time-warping-for-end#ran","syntology_url":"https://syntology.ai/paper/2303.10778","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.10778"}},"official":{"repos":["mingu6/declarativedtw"],"state":"official (archive's flag): 15 ran","n_ran":15,"n_constructed":0,"n_ran_no_instrument_failure":15,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/tempclr-temporal-alignment-representation","slug":"tempclr-temporal-alignment-representation","title":"TempCLR: Temporal Alignment Representation with Contrastive Learning","date":"2022-12-28","arxiv_id":"2212.13738","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/tempclr-temporal-alignment-representation#ran","syntology_url":"https://syntology.ai/paper/2212.13738","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.13738"}},"official":{"repos":["yyuncong/tempclr"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/uncertainty-dtw-for-time-series-and-sequences","slug":"uncertainty-dtw-for-time-series-and-sequences","title":"Uncertainty-DTW for Time Series and Sequences","date":"2022-10-30","arxiv_id":"2211.00005","repositories_listed":1,"syntology":{"n":7,"n_ran":4,"n_constructed":2,"n_ran_checked":2,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":7,"phrase":"4 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/uncertainty-dtw-for-time-series-and-sequences#ran","syntology_url":"https://syntology.ai/paper/2211.00005","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.00005"}},"official":{"repos":["leiwangr/udtw"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/tilde-q-a-transformation-invariant-loss","slug":"tilde-q-a-transformation-invariant-loss","title":"TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting","date":"2022-10-26","arxiv_id":"2210.15050","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":0,"n_instrument":4,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/tilde-q-a-transformation-invariant-loss#ran","syntology_url":"https://syntology.ai/paper/2210.15050","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.15050"}},"official":{"repos":["hyunwookl/tilde-q"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/learning-the-beauty-in-songs-neural-singing","slug":"learning-the-beauty-in-songs-neural-singing","title":"Learning the Beauty in Songs: Neural Singing Voice Beautifier","date":"2022-02-27","arxiv_id":"2202.13277","repositories_listed":4,"syntology":{"n":14,"n_ran":13,"n_constructed":3,"n_ran_checked":12,"n_instrument":1,"n_unverified":1,"n_honours":2,"n_violates":0,"n_no_contract":10,"n_pointer_only":5,"phrase":"13 ran (of which 3 constructed an object rather than computing a result; 12 with no instrument failure: 2 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/learning-the-beauty-in-songs-neural-singing#ran","syntology_url":"https://syntology.ai/paper/2202.13277","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2202.13277"}},"official":{"repos":["moonintheriver/neuralsvb"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/weakly-supervised-temporal-anomaly","slug":"weakly-supervised-temporal-anomaly","title":"Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping","date":"2021-08-15","arxiv_id":"2108.06816","repositories_listed":1,"syntology":{"n":12,"n_ran":8,"n_constructed":2,"n_ran_checked":8,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":2,"phrase":"8 ran (of which 2 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/weakly-supervised-temporal-anomaly#ran","syntology_url":"https://syntology.ai/paper/2108.06816","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.06816"}},"official":{"repos":["donalee/wetas"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["found_in_text","official"]}}},{"url":"/paper/representation-learning-via-global-temporal","slug":"representation-learning-via-global-temporal","title":"Representation Learning via Global Temporal Alignment and Cycle-Consistency","date":"2021-05-11","arxiv_id":"2105.05217","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":0,"n_instrument":4,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":6,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/representation-learning-via-global-temporal#ran","syntology_url":"https://syntology.ai/paper/2105.05217","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2105.05217"}},"official":{"repos":["hadjisma/VideoAlignment"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/learnable-dynamic-temporal-pooling-for-time","slug":"learnable-dynamic-temporal-pooling-for-time","title":"Learnable Dynamic Temporal Pooling for Time Series Classification","date":"2021-04-02","arxiv_id":"2104.02577","repositories_listed":1,"syntology":{"n":13,"n_ran":9,"n_constructed":7,"n_ran_checked":7,"n_instrument":2,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":13,"phrase":"9 ran (of which 7 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/learnable-dynamic-temporal-pooling-for-time#ran","syntology_url":"https://syntology.ai/paper/2104.02577","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.02577"}},"official":null}},{"url":"/paper/learning-discriminative-prototypes-with","slug":"learning-discriminative-prototypes-with","title":"Learning Discriminative Prototypes with Dynamic Time Warping","date":"2021-03-17","arxiv_id":"2103.09458","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/learning-discriminative-prototypes-with#ran","syntology_url":"https://syntology.ai/paper/2103.09458","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.09458"}},"official":{"repos":["BorealisAI/TSC-Disc-Proto"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/differentiable-divergences-between-time","slug":"differentiable-divergences-between-time","title":"Differentiable Divergences Between Time Series","date":"2020-10-16","arxiv_id":"2010.08354","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/differentiable-divergences-between-time#ran","syntology_url":"https://syntology.ai/paper/2010.08354","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.08354"}},"official":{"repos":["google-research/soft-dtw-divergences"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/instance-based-counterfactual-explanations","slug":"instance-based-counterfactual-explanations","title":"Instance-based Counterfactual Explanations for Time Series Classification","date":"2020-09-28","arxiv_id":"2009.13211","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/instance-based-counterfactual-explanations#ran","syntology_url":"https://syntology.ai/paper/2009.13211","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2009.13211"}},"official":{"repos":["e-delaney/Instance-Based_CFE_TSC"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/exact-parallelizable-dynamic-time-warping","slug":"exact-parallelizable-dynamic-time-warping","title":"Exact, Parallelizable Dynamic Time Warping Alignment with Linear Memory","date":"2020-08-04","arxiv_id":"2008.02734","repositories_listed":1,"syntology":{"n":12,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/exact-parallelizable-dynamic-time-warping#ran","syntology_url":"https://syntology.ai/paper/2008.02734","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2008.02734"}},"official":{"repos":["ctralie/linmdtw"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/aligning-time-series-on-incomparable-spaces","slug":"aligning-time-series-on-incomparable-spaces","title":"Aligning Time Series on Incomparable Spaces","date":"2020-06-22","arxiv_id":"2006.12648","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/aligning-time-series-on-incomparable-spaces#ran","syntology_url":"https://syntology.ai/paper/2006.12648","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2006.12648"}},"official":{"repos":["samcohen16/Aligning-Time-Series"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/end-to-end-adversarial-text-to-speech","slug":"end-to-end-adversarial-text-to-speech","title":"End-to-End Adversarial Text-to-Speech","date":"2020-06-05","arxiv_id":"2006.03575","repositories_listed":2,"syntology":{"n":12,"n_ran":10,"n_constructed":7,"n_ran_checked":10,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":12,"phrase":"10 ran (of which 7 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/end-to-end-adversarial-text-to-speech#ran","syntology_url":"https://syntology.ai/paper/2006.03575","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2006.03575"}},"official":null}},{"url":"/paper/shape-and-time-distortion-loss-for-training","slug":"shape-and-time-distortion-loss-for-training","title":"Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models","date":"2019-09-19","arxiv_id":"1909.09020","repositories_listed":3,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/shape-and-time-distortion-loss-for-training#ran","syntology_url":"https://syntology.ai/paper/1909.09020","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.09020"}},"official":{"repos":["vincent-leguen/DILATE","vincent-leguen/STDL"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["listed"]}}},{"url":"/paper/data-augmentation-using-synthetic-data-for","slug":"data-augmentation-using-synthetic-data-for","title":"Data augmentation using synthetic data for time series classification with deep residual networks","date":"2018-08-07","arxiv_id":"1808.02455","repositories_listed":2,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":1,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/data-augmentation-using-synthetic-data-for#ran","syntology_url":"https://syntology.ai/paper/1808.02455","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1808.02455"}},"official":{"repos":["hfawaz/aaltd18"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/human-motion-analysis-with-deep-metric","slug":"human-motion-analysis-with-deep-metric","title":"Human Motion Analysis with Deep Metric Learning","date":"2018-07-30","arxiv_id":"1807.11176","repositories_listed":2,"syntology":{"n":8,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/human-motion-analysis-with-deep-metric#ran","syntology_url":"https://syntology.ai/paper/1807.11176","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1807.11176"}},"official":null}},{"url":"/paper/timenet-pre-trained-deep-recurrent-neural","slug":"timenet-pre-trained-deep-recurrent-neural","title":"TimeNet: Pre-trained deep recurrent neural network for time series classification","date":"2017-06-23","arxiv_id":"1706.08838","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/timenet-pre-trained-deep-recurrent-neural#ran","syntology_url":"https://syntology.ai/paper/1706.08838","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1706.08838"}},"official":null}},{"url":"/paper/soft-dtw-a-differentiable-loss-function-for","slug":"soft-dtw-a-differentiable-loss-function-for","title":"Soft-DTW: a Differentiable Loss Function for Time-Series","date":"2017-03-05","arxiv_id":"1703.01541","repositories_listed":9,"syntology":{"n":11,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":7,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":3,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 7 unverified","sample_list":"/paper/soft-dtw-a-differentiable-loss-function-for#ran","syntology_url":"https://syntology.ai/paper/1703.01541","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1703.01541"}},"official":{"repos":["mblondel/soft-dtw"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["listed","official"]}}}],"record_sha256":"da9c88d271c9707668f32a2b38e95cfd2973c063e6f13fc1c90825da13fc9a6d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}