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Makoto Takamoto

Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction

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Apr 04, 2025
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Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations

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Mar 26, 2025
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Active Learning for Neural PDE Solvers

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Aug 02, 2024
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Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing

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May 23, 2024
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Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials

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Dec 03, 2023
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Learning Neural PDE Solvers with Parameter-Guided Channel Attention

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Apr 27, 2023
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PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

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Oct 17, 2022
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Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction

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Oct 15, 2021
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An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks

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Apr 08, 2021
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An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation

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Feb 28, 2020
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