Takamoto, Makoto

9 publications

ICLR 2025 Active Learning for Neural PDE Solvers Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert

TMLR 2025 Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction Makoto Takamoto, Daniel Onoro Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis

ICML 2025 Physics-Informed Weakly Supervised Learning for Interatomic Potentials Makoto Takamoto, Viktor Zaverkin, Mathias Niepert

NeurIPSW 2024 Active Learning for Neural PDE Solvers Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert

NeurIPS 2024 Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert

ICMLW 2024 Physics-Informed Weakly Supervised Learning for Interatomic Potentials Makoto Takamoto, Viktor Zaverkin, Mathias Niepert

ICML 2023 Learning Neural PDE Solvers with Parameter-Guided Channel Attention Makoto Takamoto, Francesco Alesiani, Mathias Niepert

ICLRW 2023 Pdebench: An Extensive Benchmark for Sci- Entific Machine Learning Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert

NeurIPS 2022 PDEBench: An Extensive Benchmark for Scientific Machine Learning Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert