| 2025 | AISTATS | Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds. | Masanari Kimura, Howard D. Bondell |
| 2025 | ICLR | Difference-of-submodular Bregman Divergence. | Masanari Kimura, Takahiro Kawashima, Tasuku Soma, Hideitsu Hino |
| 2025 | IJCAI | Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. | Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito |
| 2023 | CVPR | SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts. | Masanari Kimura, Takuma Nakamura, Yuki Saito |
| 2022 | ICONIP | Generalization Bounds for Set-to-Set Matching with Negative Sampling. | Masanari Kimura |
| 2021 | ICANN | Why Mixup Improves the Model Performance. | Masanari Kimura |
| 2021 | ICONIP | Understanding Test-Time Augmentation. | Masanari Kimura |
| 2021 | IJCNN | Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors. | Masanari Kimura, Ryohei Izawa |
| 2020 | HCOMP | Batch Prioritization of Data Labeling Tasks for Training Classifiers. | Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima |
| 2019 | CVPR | Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. | Masanari Kimura, Masayuki Tanaka |
| 2018 | ACCV | Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. | Masanari Kimura, Takashi Yanagihara |
| 2018 | ICDM | Analyzing Centralities of Embedded Nodes. | Kento Nozawa, Masanari Kimura, Atsunori Kanemura |