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
A Review of Graph Neural Networks and Their Applications in Power SystemsCode1
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural NetworksCode1
Conformal PID Control for Time Series PredictionCode1
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series PredictionCode1
Financial time series forecasting with multi-modality graph neural networkCode1
Deep and Confident Prediction for Time Series at UberCode1
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial CorrelationsCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural NetworksCode1
From Fourier to Koopman: Spectral Methods for Long-term Time Series PredictionCode1
Deep Switching Auto-Regressive Factorization:Application to Time Series ForecastingCode1
Deep Stock PredictionsCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the FlyCode1
Error-quantified Conformal Inference for Time SeriesCode1
Evaluation of deep learning models for multi-step ahead time series predictionCode1
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
Feature Programming for Multivariate Time Series PredictionCode1
DeepSITH: Efficient Learning via Decomposition of What and When Across Time ScalesCode1
Dimensionality reduction to maximize prediction generalization capabilityCode1
How Does It Function? Characterizing Long-term Trends in Production Serverless WorkloadsCode1
IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series PredictionCode1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla TransformersCode1
Structured Time Series Prediction without Structural PriorCode1
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models—0
An Alternate View on Optimal Filtering in an RKHS—0
Deep Recurrent Neural Networks for Time Series Prediction—0
A Transformer-based Framework For Multi-variate Time Series: A Remaining Useful Life Prediction Use Case—0
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters—0
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems—0
An anomaly prediction framework for financial IT systems using hybrid machine learning methods—0
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer—0
Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction—0
Asset Pricing and Deep Learning—0
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction—0
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data—0
A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction—0
Deep Reinforcement Learning for Asset Allocation in US Equities—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting—0
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks—0
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction—0
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis—0
Adaptive Extreme Learning Machine for Recurrent Beta-basis Function Neural Network Training—0
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference—0
Construction of a Surrogate Model: Multivariate Time Series Prediction with a Hybrid Model—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