Email: Takashi.Maruyama[at]neclab.eu
takashi279[at]cs.stanford.edu
Office: Kurfürsten-Anlage 36, 69115 Heidelberg
I am a researcher at NEC Laboratories Europe, Germany. I was working as a visiting researcher at SNAP group at Stanford University.
My research focuses on representation learning of structured data and its application to computational science. I am particularly interested in representation learning on high-order structured data such as mesh data, simplicial complexes, and hyperstructure. I have background of homotopy theory, algebraic topology, and fractal theory, and strong interest in study and application of those geometric theories.
Previously, I completed my Ph.D. in Mathematical Science from Nagoya University, Japan, in 2017, where I had a great time working with Professor Hitoshi Moriyoshi and Professor Thomas Geisser.
"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
NeurIPS 2024
[arXiv] [LinkedIn] [OpenReview]
"Compositional Generative Inverse Design"
Tailin Wu*, Takashi Maruyama*, Long Wei*, Tao Zhang*, Yilun Du*, Gianluca Iaccarino, and Jure Leskovec
ICLR 2024 (Spotlight), NeurIPS 2023 Workshop AI4Science
"Learning Controllable Adaptive Simulation for Multi-scale Physics"
Tailin Wu*, Takashi Maruyama*, Qingqing Zhao*, Gordon Wetzstein, and Jure Leskovec
ICLR 2023 (notable top-25%)
[Project page] [Github] [OpenReview] [arXiv]
"Learning to accelerate simulation and inverse optimization of PDEs via latent global evolution"
Tailin Wu, Takashi Maruyama, and Jure Leskovec
NeurIPS 2022
[Project page] [Github] [OpenReview] [arXiv]
"Automation of Intent-based Service Operation with Models and AI/ML"
Takayuki Kuroda, Yakuwa Yakuwa, Takashi Maruyama, Takuya Kuwahara, and Kozo Satoda
NOMS 2022 Workshops, IPSN 2022
"Weaver: A Novel Configuration Designer for IT/NW Services in Heterogeneous Environments"
Takayuki Kuroda, Takuya Kuwahara, Takashi Maruyama, Kozo Satoda, Hideyuki Shimonishi, Takao Osaki, and K. Matsuda
GLOBECOM, 2019
"Enhancement of search-based automatic service configuration designing with tacit heuristics"
Takashi Maruyama, Takayuki Kuroda, Takuya Kuwahara, Yoichi Sato, Hideyuki Shimonishi, and Kozo Satoda
iPOP2019
"A combinatorial integration on the Cantor dust,"
Takashi Maruyama and Tatsuki Seto
Mathematical Journal of Okayama University, 2023
[arXiv] [Mathematical Journal of Okayama University]
"A combinatorial Fredholm module on self-similar sets built on n-cubes,"
Takashi Maruyama and Tatsuki Seto
Journal of Fractal Geometry, 2023
[arXiv] [Journal of Fractal Geometry]
"Cyclic Cohomology Groups of Some Self-similar Sets"
Takashi Maruyama
Ph.D. thesis
"A Young-type integration on self-similar sets in intervals," 2024
Takashi Maruyama and Tatsuki Seto
[arXiv]
"Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching," 2024
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, and Francesco Alesiani
[arXiv] [LinkedIn][Medium]
Copenhagen-Nagoya graduate students seminar
Nagoya, 8/2016
Meeting for exchange among academia and industry
Tokyo, 11/2015
Workshop of graduate students from institutes of mathematics - vast Hanoi and Nagoya university,
Halong, 3/2015