Maruyama, Takashi

10 publications

ICML 2025 Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani

TMLR 2025 Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction Makoto Takamoto, Daniel Onoro Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis

ICLR 2024 Compositional Generative Inverse Design Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec

NeurIPSW 2024 Gradient of Clifford Neural Networks Takashi Maruyama, Francesco Alesiani

ICLRW 2024 Hierarchy-Based Clifford Group Equivariant Message Passing Neural Networks Takashi Maruyama, Francesco Alesiani

NeurIPS 2024 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

NeurIPSW 2023 Compositional Generative Inverse Design Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec

ICLR 2023 Learning Controllable Adaptive Simulation for Multi-Resolution Physics Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec

NeurIPSW 2022 Learning Controllable Adaptive Simulation for Multi-Scale Physics Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec

NeurIPS 2022 Learning to Accelerate Partial Differential Equations via Latent Global Evolution Tailin Wu, Takashi Maruyama, Jure Leskovec