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 31–40 of 477 papers

TitleStatusHype
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19Code1
Dimensionality reduction to maximize prediction generalization capabilityCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series ForecastingCode1
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial CorrelationsCode1
Deep and Confident Prediction for Time Series at UberCode1
Conformal PID Control for Time Series PredictionCode1
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy ModelCode1
An Evaluation of Deep Learning Models for Stock Market Trend PredictionCode1
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
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Benchmark Results

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