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Time Series Regression

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 82 papers

TitleStatusHype
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