Time Series Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

12 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 156 papers with code (477 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.

• Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
  6 Jul 2017 19 repositories listed Syntology ran 17 of 35 samples · 18 unverified · 15 pointer-only (licence)
  Spatiotemporal forecasting has various applications in neuroscience, climate and transportation domain.
• A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  7 Apr 2017 13 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has…
• AA-Forecast: Anomaly-Aware Forecast for Extreme Events
  21 Aug 2022 9 repositories listed
  Moreover, the framework employs a dynamic uncertainty optimization algorithm that reduces the uncertainty of forecasts in an online manner.
• GluonTS: Probabilistic Time Series Models in Python
  12 Jun 2019 8 repositories listed Syntology ran 0 of 18 samples · 18 unverified
  We introduce Gluon Time Series (GluonTS, available at https://gluon-ts.
• Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
  14 Sep 2017 7 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Timely accurate traffic forecast is crucial for urban traffic control and guidance.
• Recurrent Neural Networks for Multivariate Time Series with Missing Values
  6 Jun 2016 7 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 2 pointer-only (licence)
  Multivariate time series data in practical applications, such as health care, geoscience, and biology, are characterized by a variety of missing values.
• Deep and Confident Prediction for Time Series at Uber
  6 Sep 2017 6 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Reliable uncertainty estimation for time series prediction is critical in many fields, including physics, biology, and manufacturing.
• Predictive Business Process Monitoring with LSTM Neural Networks
  7 Dec 2016 5 repositories listed
  First, we show that LSTMs outperform existing techniques to predict the next event of a running case and its timestamp.
• Liquid Time-constant Networks
  8 Jun 2020 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We introduce a new class of time-continuous recurrent neural network models.
• Recursive Tree Grammar Autoencoders
  3 Dec 2020 3 repositories listed
  Machine learning on trees has been mostly focused on trees as input to algorithms.
• Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
  6 Jul 2020 3 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 1 pointer-only (licence)
  We further propose an Adaptive Graph Convolutional Recurrent Network (AGCRN) to capture fine-grained spatial and temporal correlations in traffic series automatically based on the two modules and recurrent networks.
• Bayesian Temporal Factorization for Multidimensional Time Series Prediction
  14 Oct 2019 3 repositories listed
  In this paper, we propose a Bayesian temporal factorization (BTF) framework for modeling multidimensional time series -- in particular spatiotemporal data -- in the presence of missing values.
• Time-Series Event Prediction with Evolutionary State Graph
  10 May 2019 3 repositories listed
  In this paper, we present evolutionary state graph, a dynamic graph structure designed to systematically represent the evolving relations (edges) among states (nodes) along time.
• A Critical Review of Recurrent Neural Networks for Sequence Learning
  29 May 2015 3 repositories listed
  Recurrent neural networks (RNNs) are connectionist models that capture the dynamics of sequences via cycles in the network of nodes.
• Recursive Gaussian Process State Space Model
  22 Nov 2024 2 repositories listed
  Learning dynamical models from data is not only fundamental but also holds great promise for advancing principle discovery, time-series prediction, and controller design.
• SIGMA: Selective Gated Mamba for Sequential Recommendation
  21 Aug 2024 2 repositories listed
  In various domains, Sequential Recommender Systems (SRS) have become essential due to their superior capability to discern intricate user preferences.
• Trainable Fractional Fourier Transform
  4 Mar 2024 2 repositories listed
  Recently, the fractional Fourier transform (FrFT) has been integrated into distinct deep neural network (DNN) models such as transformers, sequence models, and convolutional neural networks (CNNs).
• MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  25 Sep 2023 2 repositories listed
  Urban time series data forecasting featuring significant contributions to sustainable development is widely studied as an essential task of the smart city.
• Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
  9 May 2023 2 repositories listed
  The price movement prediction of stock market has been a classical yet challenging problem, with the attention of both economists and computer scientists.
• TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study)
  7 Jun 2022 2 repositories listed
  The combination of convolutional and recurrent neural networks is a promising framework that allows the extraction of high-quality spatio-temporal features together with its temporal dependencies, which is key for time…
• An Extensive Data Processing Pipeline for MIMIC-IV
  29 Apr 2022 2 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  An increasing amount of research is being devoted to applying machine learning methods to electronic health record (EHR) data for various clinical purposes.
• PyRCN: A Toolbox for Exploration and Application of Reservoir Computing Networks
  8 Mar 2021 2 repositories listed
  In this paper, we show how to uniformly describe RCNs with small and clearly defined building blocks, and we introduce the Python toolbox PyRCN (Python Reservoir Computing Networks) for optimizing, training and…
• Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
  11 Aug 2020 2 repositories listed
  Accurate interpretation of such prediction outcomes from a machine learning model that explicitly captures temporal correlations can significantly benefit the domain experts.
• Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
  23 Jun 2020 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Existing asymmetric multi-task learning methods tackle this negative transfer problem by performing knowledge transfer from tasks with low loss to tasks with high loss.
• Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
  21 Apr 2020 2 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Deep learning based forecasting methods have become the methods of choice in many applications of time series prediction or forecasting often outperforming other approaches.
• COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF
  20 Apr 2020 2 repositories listed
  One of the main sources of difficulty is that a very limited amount of daily COVID-19 case data is available, and with few exceptions, the majority of countries are currently in the "exponential spread stage," and thus…
• Tree Echo State Autoencoders with Grammars
  19 Apr 2020 2 repositories listed
  Tree data occurs in many forms, such as computer programs, chemical molecules, or natural language.
• From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction
  1 Apr 2020 2 repositories listed
  We propose spectral methods for long-term forecasting of temporal signals stemming from linear and nonlinear quasi-periodic dynamical systems.
• Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
  1 Dec 2019 2 repositories listed
  Backpropagation through the ODE solver allows each layer to adapt its internal time-step, enabling the network to learn task-relevant time-scales.
• Time Series Modeling for Dream Team in Fantasy Premier League
  19 Sep 2019 2 repositories listed
  The performance of football players in English Premier League varies largely from season to season and for different teams.

Syntology lines on 11 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.