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 21–30 of 477 papers

TitleStatusHype
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19Code1
A Review of Graph Neural Networks and Their Applications in Power SystemsCode1
DeepSITH: Efficient Learning via Decomposition of What and When Across Time ScalesCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the FlyCode1
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
AA-Forecast: Anomaly-Aware Forecast for Extreme EventsCode1
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Benchmark Results

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