Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Seriesby Muyao Wang,…
Causality-based Subject and Task Fingerprints using fMRI Time-series Databy Dachuan Song, Li Shen, Duy Duong-Tran,…
Using dynamic loss weighting to boost improvements in forecast stabilityby Daan Caljon, Jeff Vercauteren, Simon…
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gruby Chao Min, Yijia…
PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecastingby Yuxin Jia, Youfang…
Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Featuresby Fabrizio Maturo, Annamaria…
Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Databy Kota Dohi, Aoi Ito, Harsh Purohit,…
Generative AI-driven forecasting of oil productionby Yash Gandhi, Kexin Zheng, Birendra Jha, Ken-ichi Nomura, Aiichiro…
EMIT- Event-Based Masked Auto Encoding for Irregular Time Seriesby Hrishikesh Patel, Ruihong Qiu, Adam Irwin,…
Zero-shot forecasting of chaotic systemsby Yuanzhao Zhang, William GilpinFirst submitted to arxiv on: 24 Sep…