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Finite Volume Neural Network : Modeling Subsurface Contaminant TransportICLR 2021 : Ninth International Conference on Learning Representations, Cornell University, (2021)A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction.CoRR, (2019)Inferring Boundary Conditions in Finite Volume Neural NetworksInternational Conference on Artificial Neural Networks 2022, (2022)Physical Domain Reconstruction with Finite Volume Neural Networks 37 (1):
2204261 (2023)Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural NetworkDataset, (2022)Related to: Praditia, T., Karlbauer, M., Otte, S., Oladyshkin, S., Butz, M.V., Nowak, W.: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. Earth and Space Science Open Archive (2022). doi: 10.1002/essoar.10511934.1.Infering Boundary Conditions in Finite Volume Neural NetworksArtificial Neural Networks and Machine Learning : ICANN 2022, volume 1 of Lecture Notes in Computer Science, page 538-549. Cham, Springer, (2022)Composing Partial Differential Equations with Physics-Aware Neural NetworksProceedings of the 39th International Conference on Machine Learning, Baltimore, USA, (16--23 Jul 2022)Learning Groundwater Contaminant Diffusion-Sorption Processes With a Finite Volume Neural NetworkWater resources research, 58 (12):