GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototypingby Bang An, Xun Zhou, Zirui Zhou,…
A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulationsby Rini Jasmine Gladstone, Hadi MeidaniFirst submitted…
A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulationby Jonathan Schmidt, Luca Schmidt,…
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Databy Bang An,…
Investigating Relational State Abstraction in Collaborative MARLby Sharlin Utke, Jeremie Houssineau, Giovanni MontanaFirst submitted to…
Granger Causality Detection with Kolmogorov-Arnold Networksby Hongyu Lin, Mohan Ren, Paolo Barucca, Tomaso AsteFirst submitted…
LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoringby Shadi Sartipi, Mie Andersen, Natalie…
Dimension Reduction with Locally Adjusted Graphsby Yingfan Wang, Yiyang Sun, Haiyang Huang, Cynthia RudinFirst submitted…
AdaCred: Adaptive Causal Decision Transformers with Feature Creditingby Hemant Kumawat, Saibal MukhopadhyayFirst submitted to arxiv…
Offline Safe Reinforcement Learning Using Trajectory Classificationby Ze Gong, Akshat Kumar, Pradeep VarakanthamFirst submitted to…