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 51–100 of 477 papers

TitleStatusHype
Temporal Dependencies in Feature Importance for Time Series PredictionsCode1
Spatiotemporal information conversion machine for time-series predictionCode1
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative ModelsCode1
Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer RadiotherapyCode1
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy ModelCode1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the FlyCode1
DeepSITH: Efficient Learning via Decomposition of What and When Across Time ScalesCode1
Evaluation of deep learning models for multi-step ahead time series predictionCode1
PyRCN: A Toolbox for Exploration and Application of Reservoir Computing NetworksCode1
A Review of Graph Neural Networks and Their Applications in Power SystemsCode1
Deep Switching Auto-Regressive Factorization:Application to Time Series ForecastingCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series ForecastingCode1
Reservoir Computing meets Recurrent Kernels and Structured TransformsCode1
Deep Stock PredictionsCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
From Fourier to Koopman: Spectral Methods for Long-term Time Series PredictionCode1
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure EvolutionCode1
Dimensionality reduction to maximize prediction generalization capabilityCode1
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural NetworksCode1
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic ForecastingCode1
Deep and Confident Prediction for Time Series at UberCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
Recurrent Neural Networks for Multivariate Time Series with Missing ValuesCode1
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
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
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics—0
Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective—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
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Benchmark Results

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