StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifoldsby Prasad…
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modesby Ying Fu, Ye Kwon Huh, Kaibo…
A Scalable and Transferable Time Series Prediction Framework for Demand Forecastingby Young-Jin Park, Donghyun Kim,…
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Seriesby Rui Huang, Sikun Yang,…
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variablesby Yuxuan Wang, Haixu Wu, Jiaxiang…
Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybeanby…
Log Neural Controlled Differential Equations: The Lie Brackets Make a Differenceby Benjamin Walker, Andrew D.…
Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spacesby Geeling Chau, Yujin…
Time Series Analysis in Compressor-Based Machines: A Surveyby Francesca Forbicini, Nicolò Oreste Pinciroli Vago, Piero…
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equationsby Shiyi…