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
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series ForecastingCode1
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy ModelCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
DeepSITH: Efficient Learning via Decomposition of What and When Across Time ScalesCode1
Deep Stock PredictionsCode1
Dimensionality reduction to maximize prediction generalization capabilityCode1
Error-quantified Conformal Inference for Time SeriesCode1
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