| 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 | 35 | 2022 |
| Learning controllable adaptive simulation for multi-resolution physics T Wu, T Maruyama, Q Zhao, G Wetzstein, J Leskovec ICLR 2023, 2023 | 20 | 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 | 14 | 2019 |
| 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 | 4 | 2022 |
| Compositional Generative Inverse Design T Wu, T Maruyama, L Wei, T Zhang, Y Du, G Iaccarino, J Leskovec arXiv preprint arXiv:2401.13171, 2024 | 3 | 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 | 3 | 2023 |
| A combinatorial Fredholm module on self-similar sets built on -cubes T Maruyama, T Seto arXiv preprint arXiv:1912.05832, 2019 | 2* | 2019 |
| 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 |
| 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 | | 2024 |
| A combinatorial integration on the Cantor dust TS Takashi Maruyama https://arxiv.org/abs/2209.03537, 2022 | | 2022 |
