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 5175 of 477 papers

TitleStatusHype
A Review of Graph Neural Networks and Their Applications in Power SystemsCode1
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural NetworksCode1
Feature Programming for Multivariate Time Series PredictionCode1
Financial time series forecasting with multi-modality graph neural networkCode1
Spatiotemporal information conversion machine for time-series predictionCode1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series ForecastingCode1
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series PredictionCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
How Does It Function? Characterizing Long-term Trends in Production Serverless WorkloadsCode1
Temporal and Heterogeneous Graph Neural Network for Financial Time Series PredictionCode1
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure EvolutionCode1
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial CorrelationsCode1
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series ForecastingCode1
IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series PredictionCode1
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural NetworksCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the FlyCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
Conformal PID Control for Time Series PredictionCode1
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla TransformersCode1
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
Deep and Confident Prediction for Time Series at UberCode1
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series ForecastingCode1
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Benchmark Results

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