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

Showing 101150 of 477 papers

TitleStatusHype
Temporal Encoding Strategies for Energy Time Series PredictionCode0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data0
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models0
Characterizing Learning in Spiking Neural Networks with Astrocyte-Like Units0
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction0
Differential Machine Learning for Time Series Prediction0
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop0
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models0
Learning Novel Transformer Architecture for Time-series Forecasting0
Exploring Patterns Behind Sports0
Learning Hamiltonian Dynamics with Bayesian Data Assimilation0
Deterministic Reservoir Computing for Chaotic Time Series Prediction0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction0
Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism0
Multivariate Wireless Link Quality Prediction Based on Pre-trained Large Language Models0
Spectral Eigenfunction Decomposition for Kernel Adaptive Filtering0
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via0
Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy0
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting0
SCKF-LSTM Based Trajectory Tracking for Electricity-Gas Integrated Energy System0
Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction0
Individual Bus Trip Chain Prediction and Pattern Identification Considering SimilaritiesCode0
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage0
LLM-ABBA: Understanding time series via symbolic approximation0
Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast0
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 Blocks0
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosisCode0
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems0
IndMask: Inductive Explanation for Multivariate Time Series Black-Box ModelsCode0
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction0
Spectrum Prediction via Graph Structure LearningCode0
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction0
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets0
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 cells0
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 Prediction0
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding0
Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective0
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions0
Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave Height0
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics0
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 error9.06Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMRMSE0Unverified