SOTAVerified

Time Series Prediction

The goal of Time Series Prediction is to infer the future values of a time series from the past.

Source: Orthogonal Echo State Networks and stochastic evaluations of likelihoods

Papers

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Showing 451–477 of 477 papers

TitleStatusHype
Function Extrapolation with Neural Networks and Its Application for ManifoldsCode0
Sparse Multi-Output Gaussian Processes for Medical Time Series PredictionCode0
Multi-task Temporal Convolutional Network for Predicting Water Quality SensorCode0
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-timeCode0
Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable DataCode0
FPN-fusion: Enhanced Linear Complexity Time Series Forecasting ModelCode0
Spatiotemporal Attention for Multivariate Time Series Prediction and InterpretationCode0
FNetAR: Mixing Tokens with Autoregressive Fourier TransformsCode0
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosisCode0
Rapid training of quantum recurrent neural networksCode0
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge SolutionCode0
Time Series Prediction by Multi-task GPR with Spatiotemporal Information TransformationCode0
Explaining deep learning models for ozone pollution prediction via embedded feature selectionCode0
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series PredictionCode0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICUCode0
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series PredictionCode0
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing FlowsCode0
Recursive Tree Grammar AutoencodersCode0
Time Series Prediction for Food sustainabilityCode0
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuningCode0
DeepTFP: Mobile Time Series Data Analytics based Traffic Flow PredictionCode0
Spectrum Prediction via Graph Structure LearningCode0
Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesCode0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
Patch LearningCode0
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand ForecastingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CMU-DEMAverage mean absolute error9.06—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMRMSE0—Unverified