Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approachby Mohammed…
Continuous Product Graph Neural Networksby Aref Einizade, Fragkiskos D. Malliaros, Jhony H. GiraldoFirst submitted to…
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networksby Aref Einizade, Fragkiskos D. Malliaros, Jhony…
WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasetsby Adib Hasan,…
Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Networkby Min Hun LeeFirst submitted to arxiv…
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flowsby Shuhao Cao, Francesco Brarda,…
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domainsby…
TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomialsby Yan Ru Pei, Olivier CoenenFirst submitted to arxiv…
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecastingby Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen…
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Cloudsby Jadie Adams, Shireen ElhabianFirst submitted…