Learning to accelerate partial differential equations via latent global evolution T Wu, T Maruyama, J Leskovec
Advances in Neural Information Processing Systems 35, 2240-2253, 2022
45 2022 Learning controllable adaptive simulation for multi-resolution physics T Wu, T Maruyama, Q Zhao, G Wetzstein, J Leskovec
ICLR 2023, 2023
21 2023 Weaver: A novel configuration designer for IT/NW services in heterogeneous environments T Kuroda, T Kuwahara, T Maruyama, K Satoda, H Shimonishi, T Osaki, ...
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
16 2019 Compositional generative inverse design T Wu, T Maruyama, L Wei, T Zhang, Y Du, G Iaccarino, J Leskovec
arXiv preprint arXiv:2401.13171, 2024
12 2024 Adaptive message passing: A general framework to mitigate oversmoothing, oversquashing, and underreaching F Errica, H Christiansen, V Zaverkin, T Maruyama, M Niepert, F Alesiani
arXiv preprint arXiv:2312.16560, 2023
4 2023 Automation of intent-based service operation with models and AI/ML T Kuroda, Y Yakuwa, T Maruyama, T Kuwahara, K Satoda
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2022
3 2022 A combinatorial Fredholm module on self-similar sets built on T Maruyama, T Seto
arXiv preprint arXiv:1912.05832, 2019
2 * 2019 Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing V Zaverkin, F Alesiani, T Maruyama, F Errica, H Christiansen, M Takamoto, ...
arXiv preprint arXiv:2405.14253, 2024
1 2024 A combinatorial integration on the Cantor dust T Maruyama, T Seto
arXiv preprint arXiv:2209.03537, 2022
1 2022 Cyclic Cohomology Groups of Some Self-similar Sets T Maruyama
arXiv preprint arXiv:1612.03311, 2016
1 2016 A Young-type integration on self-similar sets in intervals T Maruyama, T Seto
arXiv preprint arXiv:2408.15468, 2024
2024 A combinatorial integration on the Cantor dust TS Takashi Maruyama
https://arxiv.org/abs/2209.03537, 2022
2022 