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 126–150 of 477 papers

TitleStatusHype
Individual Bus Trip Chain Prediction and Pattern Identification Considering SimilaritiesCode0
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage—0
LLM-ABBA: Understanding time series via symbolic approximation—0
Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast—0
Quantile deep learning models for multi-step ahead time series predictionCode0
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
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
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Benchmark Results

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