- Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie JOSEPH, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Llados, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
- Takumi Fukami, Tomoya Murata, Kenta Niwa,"Adaptive Clipping for Differential Private Federated Learning in Interpolation Regimes"Transactions on Machine Learning Research (TMLR)
- 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.
