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 371–380 of 477 papers

TitleStatusHype
Temporal Tensor Transformation Network for Multivariate Time Series Prediction—0
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-timeCode0
Hidden Markov Model: Tutorial—0
Multi-task Temporal Convolutional Network for Predicting Water Quality SensorCode0
Differential Bayesian Neural Nets—0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
Economy Statistical Recurrent Units For Inferring Nonlinear Granger CausalityCode0
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints—0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge SolutionCode0
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Benchmark Results

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