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 451–460 of 477 papers

TitleStatusHype
Multiple model estimation under perspective of random-fuzzy dual interpretation of unknown uncertaintyCode0
Function Extrapolation with Neural Networks and Its Application for ManifoldsCode0
Quantile deep learning models for multi-step ahead time series predictionCode0
Multi-task Temporal Convolutional Network for Predicting Water Quality SensorCode0
Co-evolutionary multi-task learning for dynamic time series predictionCode0
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
Sparse Multi-Output Gaussian Processes for Medical Time Series PredictionCode0
FNetAR: Mixing Tokens with Autoregressive Fourier TransformsCode0
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series PredictionCode0
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Benchmark Results

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