SOTAVerified

Time Series Regression

Predicting one or more scalars for an entire time series example.

Papers

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Showing 1–50 of 82 papers

TitleStatusHype
Quantized symbolic time series approximationCode2
Enhancing Financial Market Predictions: Causality-Driven Feature SelectionCode1
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy OptimizationCode1
Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design FrameworkCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
Knowledge Informed Machine Learning using a Weibull-based Loss FunctionCode1
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic DataCode1
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire DetectionCode1
Adjusting for Autocorrelated Errors in Neural Networks for Time SeriesCode1
A Transformer-based Framework for Multivariate Time Series Representation LearningCode1
Adversarial Examples in Deep Learning for Multivariate Time Series RegressionCode1
Time Series Extrinsic RegressionCode1
Monash University, UEA, UCR Time Series Extrinsic Regression ArchiveCode1
High-Dimensional Granger Causality Tests with an Application to VIX and NewsCode1
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse EffectsCode1
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint—0
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models—0
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision—0
Did ChatGPT or Copilot use alter the style of internet news headlines? A time series regression analysis—0
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting ModelsCode0
A Supervised Screening and Regularized Factor-Based Method for Time Series Forecasting—0
Recurrent Memory for Online Interdomain Gaussian Processes—0
Preventing Non-intrusive Load Monitoring Privacy Invasion: A Precise Adversarial Attack Scheme for Networked Smart Meters—0
LLM-ABBA: Understanding time series via symbolic approximation—0
Analysis of Potential Biases and Validity of Studies Using Multiverse Approaches to Assess the Impacts of Government Responses to Epidemics—0
Change-Point Detection in Time Series Using Mixed Integer Programming—0
Learning High-Frequency Functions Made Easy with Sinusoidal Positional EncodingCode0
Reinforced Knowledge Distillation for Time Series RegressionCode0
Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysisCode0
Effective Benchmarks for Optical Turbulence ModelingCode0
Leveraging Sample Entropy for Enhanced Volatility Measurement and Prediction in International Oil Price Returns—0
High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods—0
Quantile Time Series Regression Models Revisited—0
Limit Theory under Network Dependence and Nonstationarity—0
Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series InputCode0
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models—0
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation—0
Panel Data Nowcasting: The Case of Price-Earnings Ratios—0
Homological Neural Networks: A Sparse Architecture for Multivariate ComplexityCode0
On the Soundness of XAI in Prognostics and Health Management (PHM)Code0
On the Soundness of XAI in Prognostics and Health Management (PHM)Code0
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand—0
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense—0
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods—0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression—0
On Estimation and Inference of Large Approximate Dynamic Factor Models via the Principal Component Analysis—0
Fast Inference for Quantile Regression with Tens of Millions of Observations—0
Masked Multi-Step Multivariate Time Series Forecasting with Future Information—0
Adaptive deep learning for nonlinear time series models—0
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All datasetsUSNA-Cn2 (long-term)USNA-Cn2 (short-duration)FinSenMLO-Cn2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GBRTRMSE1.34—Unverified
2Macro MeteorologicalRMSE1.22—Unverified
3PersistenceRMSE1.21—Unverified
4Air-Water Temperature DifferenceRMSE1.05—Unverified
5Offshore Macro MeteorologicalRMSE0.68—Unverified
6ClimatologyRMSE0.63—Unverified
7Minute ClimatologyRMSE0.63—Unverified
8RNNRMSE0.53—Unverified
9Hybrid Air-Water Temperature DifferenceRMSE0.46—Unverified
#ModelMetricClaimedVerifiedStatus
1Air-Water Temperature DifferenceRMSE0.91—Unverified
2Macro MeteorologicalRMSE0.86—Unverified
3ClimatologyRMSE0.48—Unverified
4RNNRMSE0.38—Unverified
5Linear ForecastRMSE0.36—Unverified
6Hybrid Air-Water Temperature DifferenceRMSE0.3—Unverified
7GBRTRMSE0.3—Unverified
8Offshore Macro MeteorologicalRMSE0.18—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMMean MSE0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1ClimatologyRMSE0.66—Unverified