Browse State-of-the-Art › Time Series Alignment
Time Series Alignment
9 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (18 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
12 Mar 2024 2 repositories listed Syntology ran 3 of 5 samples · 2 unverifiedUnlike existing methods that focus on training models from a single modal of time series input, large language models (LLMs) based MTSF methods with cross-modal text and time series input have recently shown great…
-
29 May 2025 1 repository listed Syntology ran 8 of 15 samples · 7 unverified · 1 pointer-only (licence)Applying DTW to these sparse representations yield major speedups and typically higher alignment accuracy than standard DTW applied to the full signals.
-
8 Apr 2025 1 repository listedMotivated by this, we introduce Gaze-CIFAR-10, a human gaze time-series dataset, along with a dual-sequence gaze encoder that models the precise sequential localization of human attention on distinct local attributes.
-
1 Jan 2025 1 repository listedThis approach fails to account for a variety of time-related features, such as variable video durations, chronological order of events, and temporal variance in feature significance.
-
14 Jun 2024 1 repository listedThe detection of abnormal or critical system states is essential in condition monitoring.
-
16 Aug 2023 1 repository listed Syntology ran 4 of 8 samples · 4 unverifiedRecently, researchers have leveraged the representation learning transferability of pre-trained Large Language Models (LLMs) to handle limited non-linguistic datasets effectively.
-
16 Jun 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverifiedGradient-based optimization frameworks containing diffeomorphic transformations require to calculate derivatives to the differential equation's solution with respect to the model parameters, i.
-
10 Feb 2020 1 repository listedMultivariate time series are ubiquitous objects in signal processing.
-
10 Dec 2019 1 repository listedIn a single-class case, the method is unsupervised: the ground-truth alignments are unknown.
Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections