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 101–110 of 477 papers

TitleStatusHype
FPN-fusion: Enhanced Linear Complexity Time Series Forecasting ModelCode0
A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction—0
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models—0
Oscillations enhance time-series prediction in reservoir computing with feedback—0
A Combination Model for Time Series Prediction using LSTM via Extracting Dynamic Features Based on Spatial Smoothing and Sequential General Variational Mode Decomposition—0
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series—0
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction—0
Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated studyCode0
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla TransformersCode1
Stochastic Reservoir Computers—0
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Benchmark Results

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