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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 477 papers

TitleStatusHype
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
Show:102550
← PrevPage 4 of 20Next →
All datasetsData Collected with Package Delivery Quadcopter DroneSunspot

Benchmark Results

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