Summary of Scalable Signature-based Distribution Regression Via Reference Sets, by Andrew Alden et al.
Scalable Signature-Based Distribution Regression via Reference Setsby Andrew Alden, Carmine Ventre, Blanka HorvathFirst submitted to…
Scalable Signature-Based Distribution Regression via Reference Setsby Andrew Alden, Carmine Ventre, Blanka HorvathFirst submitted to…
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detectionby Yuanyi Wang, Haifeng Sun, Chengsen…
A physics-guided neural network for flooding area detection using SAR imagery and local river gauge…
Finite Sample Complexity Analysis of Binary Segmentationby Toby Dylan HockingFirst submitted to arxiv on: 11…
Generalizable autoregressive modeling of time series through functional narrativesby Ran Liu, Wenrui Ma, Ellen Zippi,…
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov–Arnold Networksby Yihang Gao, Vincent Y. F.…
Conditional Lagrangian Wasserstein Flow for Time Series Imputationby Weizhu Qian, Dalin Zhang, Yan ZhaoFirst submitted…
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalizationby Chengtao Jian, Kai Yang, Yang…
Task-oriented Time Series Imputation Evaluation via Generalized Representersby Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong…
Toward Physics-guided Time Series Embeddingby Jiaxi Hu, Bowen Zhang, Qingsong Wen, Fugee Tsung, Yuxuan LiangFirst…