京都大学 · 化学研究所 · 教授

研究キーワードWasserstein optimization・variational inference・model compression・drug target interaction・metabolite identification・extreme multilabel classification・multi view multi task learning・significant substring mining

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• Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference2025 · Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025),
• Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization.2025 · Proceedings of the 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025),
• Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression2024 · Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence (IJCAI 2024),
• Drug3D-DTI: Improved Drug-target Interaction Prediction by Incorporating Spatial Information of Small Molecules2021 · 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),