Time Series Regression

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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 2026-09-25.

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

10 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 35 papers with code (82 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.

• A Transformer-based Framework for Multivariate Time Series Representation Learning
  6 Oct 2020 6 repositories listed Syntology ran 11 of 32 samples · 21 unverified · 2 pointer-only (licence)
  In this work we propose for the first time a transformer-based framework for unsupervised representation learning of multivariate time series.
• A Multi-Horizon Quantile Recurrent Forecaster
  29 Nov 2017 5 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  We propose a framework for general probabilistic multi-step time series regression.
• Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input
  26 Jul 2023 2 repositories listed
  This paper presents a case study of the robustness verification approach for time series regression NNs (TSRegNN) using set-based formal methods.
• Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs
  21 Apr 2022 2 repositories listed
  Here, we present a new method for detecting a single changepoint in a linear time series regression model, termed residuals permutation-based method (RESPERM).
• Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection
  10 Jun 2021 2 repositories listed
  We propose a Recurrent Trend Predictive Neural Network (rTPNN) for multi-sensor fire detection based on the trend as well as level prediction and fusion of sensor readings.
• Monash University, UEA, UCR Time Series Extrinsic Regression Archive
  19 Jun 2020 2 repositories listed
  We refer to this problem as Time Series Extrinsic Regression (TSER), where we are interested in a more general methodology of predicting a single continuous value, from univariate or multivariate time series.
• TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models
  26 Mar 2025 1 repository listed
  We then propose TS-Inverse, a novel GIA that improves the inversion of TS data by (i) learning a gradient inversion model that outputs quantile predictions, (ii) a unique loss function that incorporates periodicity and…
• Quantized symbolic time series approximation
  20 Nov 2024 1 repository listed
  The symbolic approximation to the time series offers a more efficient way to fine-tune LLMs on the time series regression task which contains various application domains.
• Enhancing Financial Market Predictions: Causality-Driven Feature Selection
  2 Aug 2024 1 repository listed
  This paper introduces the FinSen dataset that revolutionizes financial market analysis by integrating economic and financial news articles from 197 countries with stock market data.
• Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding
  12 Jul 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 1 pointer-only (licence)
  Fourier features based positional encoding (PE) is commonly used in machine learning tasks that involve learning high-frequency features from low-dimensional inputs, such as 3D view synthesis and time series regression…
• Reinforced Knowledge Distillation for Time Series Regression
  21 Jun 2024 1 repository listed
  As one of the most popular and effective methods in model compression, knowledge distillation (KD) attempts to transfer knowledge from single or multiple large-scale networks (i.
• Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis
  11 May 2024 1 repository listed
  As the conversation around using geoengineering to combat climate change intensifies, it is imperative to engage the public and deeply understand their perspectives on geoengineering research, development, and potential…
• Effective Benchmarks for Optical Turbulence Modeling
  7 Jan 2024 1 repository listed
  Effective modeling of optical turbulence strength is critical for the development and deployment of these systems.
• MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization
  6 Nov 2023 1 repository listed
  Based on this, we propose a relative structural entropy-based position encoding and a multi-head attention masking scheme based on multi-layer encoding trees.
• Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
  27 Jun 2023 1 repository listed
  The rapid progress of Artificial Intelligence research came with the development of increasingly complex deep learning models, leading to growing challenges in terms of computational complexity, energy efficiency and…
• On the Soundness of XAI in Prognostics and Health Management (PHM)
  24 Apr 2023 1 repository listed
  This paper presents a critical and comparative revision on a number of explainable AI (XAI) methods applied on time series regression models for PM.
• On the Soundness of XAI in Prognostics and Health Management (PHM)
  9 Mar 2023 1 repository listed
  This work presents a critical and comparative revision on a number of XAI methods applied on time series regression model for PM.
• A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities
  18 Nov 2022 1 repository listed
  In this paper, a Transformer-based AI system for emerging smart cities is proposed.
• Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework
  19 Oct 2022 1 repository listed
  We use Bayesian Evidential Learning (BEL), a Monte Carlo-based training approach, to optimize the design of a 4D temperature field monitoring experiment.
• Conformal Prediction Intervals with Temporal Dependence
  25 May 2022 1 repository listed Syntology ran 7 of 8 samples · 1 unverified
  We focus on the task of constructing valid prediction intervals (PIs) in time series regression with a cross-section.
• Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
  8 Feb 2022 1 repository listed
  To the best of our knowledge, we are the first to employ adversarial multi-domain adaptation for network-wide traffic forecasting problems.
• Knowledge Informed Machine Learning using a Weibull-based Loss Function
  4 Jan 2022 1 repository listed
  Machine learning can be enhanced through the integration of external knowledge.
• Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
  3 Jan 2022 1 repository listed
  However, these methods have not been adapted for time series tasks to a great extent.
• Factor-augmented tree ensembles
  27 Nov 2021 1 repository listed
  This manuscript proposes to extend the information set of time-series regression trees with latent stationary factors extracted via state-space methods.
• AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
  28 Jul 2021 1 repository listed
  Driven by business scenarios, we organized the first Automated Time Series Regression challenge (AutoSeries) for the WSDM Cup 2020.
• Evolving-Graph Gaussian Processes
  29 Jun 2021 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  Graph Gaussian Processes (GGPs) provide a data-efficient solution on graph structured domains.
• Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
  6 Jun 2021 1 repository listed
  We develop a new method of online inference for a vector of parameters estimated by the Polyak-Ruppert averaging procedure of stochastic gradient descent (SGD) algorithms.
• Adjusting for Autocorrelated Errors in Neural Networks for Time Series
  28 Jan 2021 1 repository listed
  A common assumption in training neural networks via maximum likelihood estimation on time series is that the errors across time steps are uncorrelated.
• Adversarial Examples in Deep Learning for Multivariate Time Series Regression
  24 Sep 2020 1 repository listed
  Due to the tremendous success of deep learning (DL) algorithms in various domains including image recognition and computer vision, researchers started adopting these techniques for solving MTS data mining problems, many…
• Time Series Extrinsic Regression
  23 Jun 2020 1 repository listed
  This paper studies Time Series Extrinsic Regression (TSER): a regression task of which the aim is to learn the relationship between a time series and a continuous scalar variable; a task closely related to time series…

Syntology lines on 5 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 2026-09-25.