| 2025 | ICONIP | TULiP: Test-Time Uncertainty Estimation via Linearization and Weight Perturbation. | Yuhui Zhang, Dongshen Wu, Yuichiro Wada, Takafumi Kanamori |
| 2024 | ISIT | Robust VAEs via Generating Process of Noise Augmented Data. | Hiroo Irobe, Wataru Aoki, Kimihiro Yamazaki, Yuhui Zhang, Takumi Nakagawa, Hiroki Waida, Yuichiro Wada, Takafumi Kanamori |
| 2022 | AISTATS | Mode estimation on matrix manifolds: Convergence and robustness. | Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori |
| 2022 | Interspeech | Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches. | Yutaro Sanada, Takumi Nakagawa, Yuichiro Wada, Kosaku Takanashi, Yuhui Zhang, Kiichi Tokuyama, Takafumi Kanamori, Tomonori Yamada |
| 2020 | AISTATS | A Unified Statistically Efficient Estimation Framework for Unnormalized Models. | Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda |
| 2020 | UAI | Robust modal regression with direct gradient approximation of modal regression risk. | Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori |
| 2017 | AISTATS | Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios. | Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama |
| 2012 | ICML | A Unified Robust Classification Model. | Akiko Takeda, Hiroyuki Mitsugi, Takafumi Kanamori |
| 2012 | ICONIP | Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning. | Takafumi Kanamori, Akiko Takeda |
| 2010 | SDM | Direct Density Ratio Estimation with Dimensionality Reduction. | Masashi Sugiyama, Satoshi Hara, Paul von Bnau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe |
| 2008 | ICDM | Inlier-Based Outlier Detection via Direct Density Ratio Estimation. | Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori |
| 2007 | ALT | Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability. | Takafumi Kanamori |
| 2006 | IJCNN | The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator. | Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori |
| 2004 | ICONIP | The Most Robust Loss Function for Boosting. | Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata |
| 2002 | ICANN | A New Sequential Algorithm for Regression Problems by Using Mixture Distribution. | Takafumi Kanamori |