Makoto Takamoto

22 papers A* 5Journal 14Unranked 3
YearRankTypeTitle / 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