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 101–125 of 477 papers

TitleStatusHype
FPN-fusion: Enhanced Linear Complexity Time Series Forecasting ModelCode0
Oscillations enhance time-series prediction in reservoir computing with feedback—0
A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction—0
A Combination Model for Time Series Prediction using LSTM via Extracting Dynamic Features Based on Spatial Smoothing and Sequential General Variational Mode Decomposition—0
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models—0
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series—0
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction—0
Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated studyCode0
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla TransformersCode1
Stochastic Reservoir Computers—0
Function Extrapolation with Neural Networks and Its Application for ManifoldsCode0
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities—0
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost—0
A novel Reservoir Architecture for Periodic Time Series Prediction—0
Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and ARIMA-LSTM Networks—0
Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction—0
Predictive Modeling in the Reservoir Kernel Motif Space—0
Signal-noise separation using unsupervised reservoir computing—0
Multiple model estimation under perspective of random-fuzzy dual interpretation of unknown uncertaintyCode0
Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy—0
Feature-Based Echo-State Networks: A Step Towards Interpretability and Minimalism in Reservoir Computer—0
Explaining deep learning models for ozone pollution prediction via embedded feature selectionCode0
QEAN: Quaternion-Enhanced Attention Network for Visual Dance GenerationCode0
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning ProcessCode2
Trainable Fractional Fourier TransformCode2
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Benchmark Results

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