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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 477 papers

TitleStatusHype
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic ForecastingCode1
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series PredictionCode1
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the FlyCode1
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy ModelCode1
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial CorrelationsCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
Deep and Confident Prediction for Time Series at UberCode1
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
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Benchmark Results

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