Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equationby Antonio Malpica-Morales, Miguel A.…
Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Predictionby Kexin Jiang, Chuhan Wu,…
DTMamba : Dual Twin Mamba for Time Series Forecastingby Zexue Wu, Yifeng Gong, Aoqian ZhangFirst…
Predictive Modeling in the Reservoir Kernel Motif Spaceby Peter Tino, Robert Simon Fong, Roberto Fabio…
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecastingby Abishek Sriramulu, Christoph Bergmeir,…
Causal Inference from Slowly Varying Nonstationary Processesby Kang Du, Yu XiangFirst submitted to arxiv on:…
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecastingby Tianxiang Zhan, Yuanpeng He,…
TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insightsby Yuhan Liu, Ke…
Neural Network Learning of Black-Scholes Equation for Option Pricingby Daniel de Souza Santos, Tiago Alessandro…
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Maskby Zineb Senane, Lele…