- Tomoharu Iwata, Shinsaku Sakaue, "Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems," Proceedings of International Conference on Machine Learning (ICML), July 2025
- Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Kazuki Adachi, Yasuhiro Fujiwara, "Positive-unlabeled AUC Maximization under Covariate Shift,"Proceedings of International Conference on Machine Learning (ICML), July 2025
- Tomoharu Iwata, Atsutoshi Kumagai, "Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion," Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025
- Tomoharu Iwata, Atsutoshi Kumagai, Yasutoshi Ida, "Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression," Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025
- Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda, "Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations," Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025
- Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara, "Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation," Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025
- Yuta Nambu, Masahiro Kohjima, Tomoharu Iwata, Ryuji Yamamoto, "Meta-learning of Class Knowledge in Zero-shot Learning," Proceedings of SIAM International Conference on Data Mining (SDM), May 2025
- Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita, "Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation," Proceedings of International Conference on Learning Representations (ICLR), April 2025
- Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Kenji Komiya, Tomoharu Iwata, Kunio Kashino, "Hyperbolic PHATE: Visualizing Continuous Hierarchy of Latent Differentiation Structures," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025
- Hiroshi Sawada, Kazuo Aoyama, Yuya Hikima, "Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization," Proceedings of the Forty-Second International Conference on Machine Learning (ICML-25), July 2025.
- Hideaki Kim, Tomoharu Iwata, Akinori Fujino, "K^2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes," Proceedings of the Forty-Second International Conference on Machine Learning (ICML-25), July 2025.
- Yusuke Yamasaki, Kenta Niwa, Takumi Fukami, Takayuki Miura, and Daiki Chijiwa,"Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference" Proceedings of the Forty-Second International Conference on Machine Learning (ICML-25).
- Yuya Hikima, Hiroshi Sawada, Akinori Fujino, "Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions," Proceedings of the Forty-Second International Conference on Machine Learning (ICML-25).
- Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi, "Layered-parameter perturbation for zeroth-order optimization of optical neural networks," Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25).
- Yasunori Akagi, Hideaki Kim, Takeshi Kurashima, "A Continuous-time Tractable Model for Time-inconsistent Planning," Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25).
- Hiroki Shibata, Masakazu Ishihata, Shunsuke Inenaga, "Packed Acyclic Deterministic Finite Automata," SOFSEM 2025: Theory and Practice of Computer Science, pp.284-297, 2025.
- Eri Nakahara, Kayo Waki, Hisashi Kurasawa, Imari Mimura, Tomohisa Seki, Akinori Fujino, Nagisa Shiomi, Masaomi Nangaku, Kazuhiko Ohe, "Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approach," Heliyon, Volume 11, Issue 1, e40566, January 2025.
