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PDEBENCH : an extensive benchmark for scientific machine learning

, , , , , , and . NIPS '22 : Proceedings of the 36th International Conference on Neural Information Processing Systems, page 1596-1611. Red Hook, Curran Associates Inc, (2022)
DOI: 10.5555/3600270.3600387

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PDEBench Datasets, , , , , , and . (2022)PDEBench Datasets : Data for "PDEBench: An Extensive Benchmark for Scientific Machine Learning", , , , , , and . Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. arXiv: 2210.07182.PDEBENCH : an extensive benchmark for scientific machine learning, , , , , , and . NIPS '22 : Proceedings of the 36th International Conference on Neural Information Processing Systems, page 1596-1611. Red Hook, Curran Associates Inc, (2022)PDEBench Pretrained Models : Pretrained models for "PDEBench: An Extensive Benchmark for Scientific Machine Learning", , , , , , and . Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.PDEBench: An Extensive Benchmark for Scientific Machine Learning, , , , , , and . 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, (2022)