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 1–50 of 477 papers

TitleStatusHype
Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting—0
Predicting Graph Structure via Adapted Flux Balance AnalysisCode0
SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs—0
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer—0
MS-TVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Dynamic ConvolutionCode0
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction—0
A Family of Robust Generalized Adaptive Filters and Application for Time-series Prediction—0
IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series PredictionCode1
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial CorrelationsCode1
A tensor network approach for chaotic time series predictionCode0
Dynamic Reservoir Computing with Physical Neuromorphic NetworksCode0
Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation—0
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation—0
A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose PredictionCode0
LLM4FTS: Enhancing Large Language Models for Financial Time Series Prediction—0
Predicting the Price of Gold in the Financial Markets Using Hybrid Models—0
Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework—0
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications—0
Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective—0
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics—0
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
Differential Machine Learning for Time Series Prediction—0
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop—0
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models—0
Learning Novel Transformer Architecture for Time-series Forecasting—0
Exploring Patterns Behind Sports—0
Error-quantified Conformal Inference for Time SeriesCode1
Learning Hamiltonian Dynamics with Bayesian Data Assimilation—0
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series ForecastingCode1
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
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis—0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting—0
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Benchmark Results

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