{"url":"/sota/glinear-on-etth1-720-multivariate","task":{"name":"GLinear","url":"/task/glinear","note":null},"dataset":{"name":"ETTh1 (720) Multivariate","url":"/dataset/ett"},"category":"Time Series","categories":["Time Series"],"category_note":null,"description":"It is a simpler model; it is not made up of any complex components, functions or blocks (like self-attention schemes, positional encoding blocks, etc.). It integrates two components: (1) a non-linear GeLU-based transformation layer to capture intricate patterns, and (2)\r\nReversible Instance Normalization (RevIN).\r\n1. Due to its simple architecture, training of this model\r\nis very fast as compared to other transformer based\r\npredictors.\r\n2. This proposed model provides comparable performance\r\nto other state-of-the-art predictors.","description_from":"task","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","rank":"the archive's row order at snapshot; not re-ranked","rows_end_at":"2025-07-28","rows_withheld_as_spam":0,"metric_values":"the archive's strings, untouched"},"metrics":["MSE "],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"MSE ":"lower"}},"counts":{"rows":1,"rows_with_code":1,"rows_with_paper_page":1,"rows_dated":1,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"GLinear","metrics":{"MSE ":"0.5923"},"uses_additional_data":false,"paper_date":"2025-01-02","paper":"/paper/bridging-simplicity-and-sophistication-using-1","paper_url":"https://arxiv.org/abs/2501.01087v3","paper_title":"Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction","code":"https://github.com/t-rizvi/GLinear","n_code_links":1,"syntology":null}],"since_archive":{"present":false,"note":"No Syntology-extracted rows are published in this build."},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per row: N of M harvested code samples from that row's paper executed on a synthesized fixture; the other M-N are unverified. Not a reproduction of the row's number; not a correctness claim. n_pointer_only_licence counts samples the site points at rather than redistributes (a licence axis, independent of ran/unverified).","rows_with_graph_line":0,"rows_with_any_sample_ran":0,"distinct_papers_with_graph_line":0,"distinct_papers_with_any_sample_ran":0,"samples_over_distinct_papers":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"row-weighted: a paper behind several rows is counted once per row; inflated relative to samples_over_distinct_papers by design, kept for readers summing the per-row syntology blocks"}}}