ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolutionby Zhengyang Zhou, Qihe Huang, Binwu…
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modelingby Matthew Dowling, Yuan Zhao, Il…
Parallelized Spatiotemporal Bindingby Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone,…
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equationsby Shiyi…
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularizationby Xiaoyu Xie, Saviz Mowlavi,…
Genie: Generative Interactive Environmentsby Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward…
Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Databy Tongyi Liang, Han-Xiong LiFirst submitted to…
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modelingby Phong C.H. Nguyen, Xinlun Cheng,…
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputationby Yakun Chen, Kaize Shi, Zhangkai Wu,…
Graph-based Forecasting with Missing Data through Spatiotemporal Downsamplingby Ivan Marisca, Cesare Alippi, Filippo Maria BianchiFirst…