Makoto Takamoto

22 papers A* 5Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Active Learning for Neural PDE Solvers. ICLR Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert
2025	J	`jnl`	Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations. CoRR Henrik Christiansen, Takashi Maruyama, Federico Errica, Viktor Zaverkin, Makoto Takamoto, Francesco Alesiani
2025	J	`jnl`	Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction. CoRR Makoto Takamoto, Daniel Oñoro-Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis
2025	J	`jnl`	Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction. Trans. Mach. Learn. Res. Makoto Takamoto, Daniel Oñoro-Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis
2025	A*	`conf`	Physics-Informed Weakly Supervised Learning For Interatomic Potentials. ICML Makoto Takamoto, Viktor Zaverkin, Mathias Niepert
2024	J	`jnl`	Active Learning for Neural PDE Solvers. CoRR Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert
2024	A*	`conf`	Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing. NeurIPS Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
2024	J	`jnl`	Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing. CoRR Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
2024	J	`jnl`	Physics-Informed Weakly Supervised Learning for Interatomic Potentials. CoRR Makoto Takamoto, Viktor Zaverkin, Mathias Niepert
2024	J	`jnl`	Research Data Management in Simulation Science: Infrastructure, Tools, and Applications. Datenbank-Spektrum Bernd Flemisch, Sibylle Hermann, Melanie Herschel, Dirk Pflüger, Jürgen Pleiss, Jan Range, Sarbani Roy, Makoto Takamoto, Benjamin Uekermann
2023	A*	`conf`	Learning Neural PDE Solvers with Parameter-Guided Channel Attention. ICML Makoto Takamoto, Francesco Alesiani, Mathias Niepert
2023	J	`jnl`	Learning Neural PDE Solvers with Parameter-Guided Channel Attention. CoRR Makoto Takamoto, Francesco Alesiani, Mathias Niepert
2022	—	`conf`	MILIE: Modular & Iterative Multilingual Open Information Extraction. ACL (1) Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
2022	J	`jnl`	PDEBENCH: An Extensive Benchmark for Scientific Machine Learning. CoRR Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
2022	A*	`conf`	PDEBench: An Extensive Benchmark for Scientific Machine Learning. NeurIPS Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
2021	—	`conf`	An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks. MIPR Makoto Takamoto, Yusuke Morishita
2021	J	`jnl`	An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks. CoRR Makoto Takamoto, Yusuke Morishita
2021	J	`jnl`	Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. CoRR Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert
2020	—	`conf`	An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation. MIPR Makoto Takamoto, Yusuke Morishita, Hitoshi Imaoka
2020	J	`jnl`	An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation. CoRR Makoto Takamoto, Yusuke Morishita, Hitoshi Imaoka
2014	J	`jnl`	A new scheme of causal viscous hydrodynamics for relativistic heavy-ion collisions: A Riemann solver for quark-gluon plasma. J. Comput. Phys. Yukinao Akamatsu, Shu-ichiro Inutsuka, Chiho Nonaka, Makoto Takamoto
2011	J	`jnl`	A fast numerical scheme for causal relativistic hydrodynamics with dissipation. J. Comput. Phys. Makoto Takamoto, Shu-ichiro Inutsuka