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 111–120 of 477 papers

TitleStatusHype
Learning Hamiltonian Dynamics with Bayesian Data Assimilation—0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
Deterministic Reservoir Computing for Chaotic Time Series Prediction—0
Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction—0
Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism—0
Multivariate Wireless Link Quality Prediction Based on Pre-trained Large Language Models—0
Spectral Eigenfunction Decomposition for Kernel Adaptive Filtering—0
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via—0
Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
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Benchmark Results

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