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Numerical artifacts in the discontinuous Generalized Porous Medium Equation: How to avoid spurious temporal oscillations., , and . J. Comput. Phys., (2018)First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting., , , , , , , , and . CoRR, (2022)Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting., , , , , and . CoRR, (2021)Guiding continuous operator learning through Physics-based boundary constraints., , , and . CoRR, (2022)Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow., , and . CoRR, (2022)Domain Adaptation for Time Series Forecasting via Attention Sharing., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 10280-10297. PMLR, (2022)Deep Factors for Forecasting., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6607-6617. PMLR, (2019)Numerical artifacts in the Generalized Porous Medium Equation: Why harmonic averaging itself is not to blame., , and . J. Comput. Phys., (2018)Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting., , , , and . CoRR, (2023)Guiding continuous operator learning through Physics-based boundary constraints., , , and . ICLR, OpenReview.net, (2023)