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

Showing 110 of 477 papers

TitleStatusHype
GluonTS: Probabilistic Time Series Models in PythonCode3
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price PredictionCode2
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series ForecastingCode2
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning ProcessCode2
Trainable Fractional Fourier TransformCode2
UnetTSF: A Better Performance Linear Complexity Time Series Prediction ModelCode2
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow PredictionCode2
An Extensive Data Processing Pipeline for MIMIC-IVCode2
LibCity: An Open Library for Traffic PredictionCode2
Closed-form Continuous-time Neural ModelsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CMU-DEMAverage mean absolute error9.06Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMRMSE0Unverified