Temporal Sequences

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

4 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

30 shown of 75 papers with code (200 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.

• Graph WaveNet for Deep Spatial-Temporal Graph Modeling
  31 May 2019 9 repositories listed Syntology ran 5 of 7 samples · 2 unverified
  Spatial-temporal graph modeling is an important task to analyze the spatial relations and temporal trends of components in a system.
• Functional Map of the World
  21 Nov 2017 7 repositories listed
  We present an analysis of the dataset along with baseline approaches that reason about metadata and temporal views.
• Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
  5 Dec 2017 4 repositories listed
  In particular, the proposed architecture embeds the structure of the traditional iterative algorithms, efficiently modelling the recurrence of the iterative reconstruction stages by using recurrent hidden connections…
• SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
  22 Dec 2016 4 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  In this paper we propose a novel model for unconditional audio generation based on generating one audio sample at a time.
• Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
  29 Oct 2016 4 repositories listed
  In this work, we introduce the Phased LSTM model, which extends the LSTM unit by adding a new time gate.
• SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
  14 Mar 2024 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Our approach begins with the formulation of a spike-guided deblurring model that explores the theoretical relationships among spike streams, blurry images, and their corresponding sharp sequences.
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
  20 Mar 2024 2 repositories listed
  Contrast agents in dynamic contrast enhanced magnetic resonance imaging allow to localize tumors and observe their contrast kinetics, which is essential for cancer characterization and respective treatment…
• tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data
  8 Sep 2023 2 repositories listed
  One of the promising new methods for extracting knowledge from large clinical datasets involves temporal pattern mining integrated with machine learning workflows.
• BloombergGPT: A Large Language Model for Finance
  30 Mar 2023 2 repositories listed
  The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering.
• Reducing ANN-SNN Conversion Error through Residual Membrane Potential
  4 Feb 2023 2 repositories listed
  Spiking Neural Networks (SNNs) have received extensive academic attention due to the unique properties of low power consumption and high-speed computing on neuromorphic chips.
• Training Compute-Optimal Large Language Models
  29 Mar 2022 2 repositories listed Syntology ran 8 of 11 samples · 3 unverified · 4 pointer-only (licence)
  We investigate the optimal model size and number of tokens for training a transformer language model under a given compute budget.
• CITRIS: Causal Identifiability from Temporal Intervened Sequences
  7 Feb 2022 2 repositories listed
  Understanding the latent causal factors of a dynamical system from visual observations is considered a crucial step towards agents reasoning in complex environments.
• Medical Profile Model: Scientific and Practical Applications in Healthcare
  21 Jun 2021 2 repositories listed
  The paper researches the problem of representation learning for electronic health records.
• Learning Character-Agnostic Motion for Motion Retargeting in 2D
  5 May 2019 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  In order to achieve our goal, we learn to extract, directly from a video, a high-level latent motion representation, which is invariant to the skeleton geometry and the camera view.
• Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
  11 Apr 2019 2 repositories listed
  The task becomes more challenging on temporal knowledge graphs, where each fact is associated with a timestamp.
• State-Frequency Memory Recurrent Neural Networks
  1 Aug 2017 2 repositories listed
  Modeling temporal sequences plays a fundamental role in various modern applications and has drawn more and more attentions in the machine learning community.
• Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks
  12 May 2017 2 repositories listed
  Existing methods for arterial blood pressure (BP) estimation directly map the input physiological signals to output BP values without explicitly modeling the underlying temporal dependencies in BP dynamics.
• shapeDTW: shape Dynamic Time Warping
  6 Jun 2016 2 repositories listed
  Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data alignments.
• TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis
  19 Jun 2025 1 repository listed
  We propose TrajSceneLLM, a multimodal perspective for enhancing semantic understanding of GPS trajectories.
• TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series
  13 May 2025 1 repository listed
  Satellite image time series (SITS) provide continuous observations of the Earth's surface, making them essential for applications such as environmental management and disaster assessment.
• Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
  3 Apr 2025 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Based on this principle, we develop ViLAMP, a hierarchical video-language model that processes hour-long videos at "mixed precision" through two key mechanisms: (1) differential keyframe selection that maximizes query…
• ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
  16 Mar 2025 1 repository listed
  We propose BrainTWT, a novel dynamic network embedding approach that captures temporal evolution of the brain connectivity over time and considers also the dynamics between different temporal network snapshots.
• Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding
  9 Feb 2025 1 repository listed
  To overcome these challenges, we introduce a specialized cognitive module, temporal working memory (TWM), which aims to enhance the temporal modeling capabilities of MFMs.
• Grid: Omni Visual Generation
  14 Dec 2024 1 repository listed
  Visual generation has witnessed remarkable progress in single-image tasks, yet extending these capabilities to temporal sequences remains challenging.
• KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
  1 Nov 2024 1 repository listed
  Due to the common occurrence of noise, i.
• xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
  22 Oct 2024 1 repository listed Syntology ran 5 of 8 samples · 3 unverified
  Time series data is prevalent across numerous fields, necessitating the development of robust and accurate forecasting models.
• TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
  8 Oct 2024 1 repository listed Syntology ran 4 of 9 samples · 5 unverified
  Large vision and language assistants have enabled new capabilities for interpreting natural images.
• Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning
  8 Oct 2024 1 repository listed Syntology ran 5 of 8 samples · 3 unverified
  We propose Scalable Mechanistic Neural Network (S-MNN), an enhanced neural network framework designed for scientific machine learning applications involving long temporal sequences.
• Causal Temporal Representation Learning with Nonstationary Sparse Transition
  5 Sep 2024 1 repository listed Syntology ran 7 of 9 samples · 2 unverified · 9 pointer-only (licence)
  Based on the theoretical result, we introduce a novel framework, Causal Temporal Representation Learning with Nonstationary Sparse Transition (CtrlNS), designed to leverage the constraints on transition sparsity and…

Syntology lines on 10 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.