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
SCKF-LSTM Based Trajectory Tracking for Electricity-Gas Integrated Energy System—0
Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction—0
Individual Bus Trip Chain Prediction and Pattern Identification Considering SimilaritiesCode0
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage—0
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power SystemsCode1
Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast—0
LLM-ABBA: Understanding time series via symbolic approximation—0
Quantile deep learning models for multi-step ahead time series predictionCode0
Recursive Gaussian Process State Space ModelCode1
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time SeriesCode0
Recurrent Stochastic Configuration Networks with Incremental Blocks—0
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosisCode0
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems—0
IndMask: Inductive Explanation for Multivariate Time Series Black-Box ModelsCode0
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction—0
Spectrum Prediction via Graph Structure LearningCode0
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction—0
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets—0
Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market dataCode0
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price PredictionCode2
Transformer based time series prediction of the maximum power point for solar photovoltaic cells—0
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICUCode0
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuningCode0
Recurrent Interpolants for Probabilistic Time Series Prediction—0
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding—0
Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective—0
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions—0
Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave Height—0
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics—0
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraintCode0
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding—0
Improving Water Quality Time-Series Prediction in Hong Kong using Sentinel-2 MSI Data and Google Earth Engine Cloud Computing—0
An Evaluation of Deep Learning Models for Stock Market Trend PredictionCode1
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series ForecastingCode2
Demystifying the Communication Characteristics for Distributed Transformer Models—0
An Evaluation of Standard Statistical Models and LLMs on Time Series ForecastingCode0
A federated large language model for long-term time series forecasting—0
Multi-task Photonic Reservoir Computing: Wavelength Division Multiplexing for Parallel Computing with a Silicon Microring Resonator—0
Long Range Switching Time Series Prediction via State Space Model—0
TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting—0
Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments—0
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities—0
A Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction—0
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models—0
Membership Inference Attacks Against Time-Series Models—0
Parameter Estimation in Quantum Metrology Technique for Time Series Prediction—0
Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality—0
Event prediction and causality inference despite incomplete information—0
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series ForecastingCode1
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Benchmark Results

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