Dynamic Contrastive Learning for Time Series Representationby Abdul-Kazeem Shamba, Kerstin Bach, Gavin TaylorFirst submitted to…
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecastingby Skye Gunasekaran, Assel Kembay, Hugo Ladret,…
Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learningby Chandrajit Bajaj,…
Deep Learning Foundation and Pattern Models: Challenges in Hydrological Time Seriesby Junyang He, Ying-Jung Chen,…
Collaborative State Fusion in Partially Known Multi-agent Environmentsby Tianlong Zhou, Jun Shang, Weixiong RaoFirst submitted…
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level…
HiPPO-KAN: Efficient KAN Model for Time Series Analysisby SangJong Lee, Jin-Kwang Kim, JunHo Kim, TaeHan…
ArrivalNet: Predicting City-wide Bus/Tram Arrival Time with Two-dimensional Temporal Variation Modelingby Zirui Li, Patrick Wolf,…
Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stationsby Xiannan Huang,…
On the Regularization of Learnable Embeddings for Time Series Forecastingby Luca Butera, Giovanni De Felice,…