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Disambiguation of "Takamoto, Makoto"

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Active Learning for Neural PDE Solvers

, , , , and . NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers, (2024)

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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.MILIE : Modular & Iterative Multilingual Open Information Extraction, , , , , , , and . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 1 : Long Papers, page 6939-6950. Stroudsburg, Association for Computational Linguistics, (2022)Research Data Management in Simulation Science : Infrastructure, Tools, and Applications, , , , , , , , and . Datenbank-Spektrum, 24 (2): 97-105 (2024)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)Learning Neural PDE Solvers with Parameter-Guided Channel Attention, , and . Proceedings of the 40th International Conference on Machine Learning, 202, page 33448-33467. PMLR, (2023)A fast numerical scheme for causal relativistic hydrodynamics with dissipation., and . J. Comput. Physics, 230 (18): 7002-7017 (2011)PDEBench: An Extensive Benchmark for Scientific Machine Learning, , , , , , and . 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, (2022)Active Learning for Neural PDE Solvers, , , , and . NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers, (2024)Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials, , , , , , , and . npj computational materials, 10 (1): 83 (2024)