Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecastingby Ignacio Aguilera-Martos, Andrés…
Metadata Matters for Time Series: Informative Forecasting with Transformersby Jiaxiang Dong, Haixu Wu, Yuxuan Wang,…
Repurposing Foundation Model for Generalizable Medical Time Series Classificationby Nan Huang, Haishuai Wang, Zihuai He,…
S7: Selective and Simplified State Space Layers for Sequence Modelingby Taylan Soydan, Nikola Zubić, Nico…
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecastingby Soon Hoe Lim,…
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecastingby Jiecheng Lu, Xu Han, Yan Sun,…
Forest Proximities for Time Seriesby Ben Shaw, Jake Rhodes, Soukaina Filali Boubrahimi, Kevin R. MoonFirst…
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AIby Xu Zheng, Farhad Shirani, Zhuomin…
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecastingby Marcel Kollovieh, Marten Lienen,…
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Seriesby Luca Castri, Sariah Mghames, Marc…