Methods › Natural Language Processing › Sentence Embeddings › MTS › Papers where code ran, page 1
Matching The Statements
MTS
Papers archive 2025-07-28
archive papers tagged: 107 · with a code link: 37 · where Syntology ran a sample: 11 (10 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (11 of 107 tagged: 10 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 11 of the 11 tagged papers where Syntology ran at least one harvested sample (10 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. 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.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data 5 Feb 2025 · 0 repositories · arXiv:2502.03264Syntology 8 ran (of which 8 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; every one of the 8 samples that ran constructed an object rather than computing a result (of 12 harvested samples)
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Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection 11 Oct 2024 · 1 repository · arXiv:2410.08877Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 1 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 11 harvested samples) · 11 pointer-only (licence)
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BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting 3 Oct 2024 · 1 repository · arXiv:2410.02195Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples) · 8 pointer-only (licence)
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Channel-wise Influence: Estimating Data Influence for Multivariate Time Series 27 Aug 2024 · 0 repositories · arXiv:2408.14763Syntology 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 (of 1 harvested sample)
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Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting 8 Mar 2024 · 1 repository · arXiv:2403.05406Syntology official (archive's flag): 12 ran · 12 ran (of which 10 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 17 harvested samples) · 17 pointer-only (licence)
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FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective 10 Nov 2023 · 1 repository · arXiv:2311.06190Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples)
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Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis 9 Oct 2023 · 5 repositories · arXiv:2310.06119Syntology official (archive's flag): 5 ran · 11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 12 harvested samples) · 6 pointer-only (licence)
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Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting 23 Aug 2023 · 1 repository · arXiv:2308.11946Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 7 harvested samples) · 1 pointer-only (licence)
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Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection 17 Aug 2023 · 1 repository · arXiv:2308.08915Syntology official (archive's flag): 3 ran · 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 (of 3 harvested samples) · 3 pointer-only (licence)
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SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting 4 Jul 2023 · 1 repository · arXiv:2307.01616Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 7 harvested samples) · 2 pointer-only (licence)
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Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting 22 May 2023 · 1 repository · arXiv:2305.13036Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified (of 10 harvested samples) · 2 pointer-only (licence)