EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyographyby Jehan Yang, Maxwell Soh, Vivianna Lieu, Douglas…
Gradient-free training of recurrent neural networksby Erik Lien Bolager, Ana Cukarska, Iryna Burak, Zahra Monfared,…
Generative forecasting of brain activity enhances Alzheimer’s classification and interpretationby Yutong Gao, Vince D. Calhoun,…
Sequential Order-Robust Mamba for Time Series Forecastingby Seunghan Lee, Juri Hong, Kibok Lee, Taeyoung ParkFirst…
Partial Channel Dependence with Channel Masks for Time Series Foundation Modelsby Seunghan Lee, Taeyoung Park,…
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularitiesby Jingge Xiao, Yile Chen,…
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecastingby Zhiding Liu, Jiqian Yang,…
Higher-order Cross-structural Embedding Model for Time Series Analysisby Guancen Lin, Cong Shen, Aijing LinFirst submitted…
MIXAD: Memory-Induced Explainable Time Series Anomaly Detectionby Minha Kim, Kishor Kumar Bhaumik, Amin Ahsan Ali,…
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecastingby Aobo Liang, Yan Sun, Nadra…