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
Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?—0
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision—0
TSP-OCS: A Time-Series Prediction for Optimal Camera Selection in Multi-Viewpoint Surgical Video Analysis—0
Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization—0
Time-Series Forecasting via Topological Information Supervised Framework with Efficient Topological Feature Learning—0
Temporal Encoding Strategies for Energy Time Series PredictionCode0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models—0
Characterizing Learning in Spiking Neural Networks with Astrocyte-Like Units—0
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction—0
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Benchmark Results

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