| 2024 | ACCV | Randomized Channel-Pass Mask for Channel-Wise Explanation of Black-Box Models. | Hirotaka Hachiya, Daiki Nisawa |
| 2024 | ACML | MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters. | Hirotaka Hachiya, Yuto Kuroki, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara |
| 2023 | ACML | Frequency-dependent Image Reconstruction Error for Micro Defect Detection. | Yuhei Nomura, Hirotaka Hachiya |
| 2023 | MVA | Combining Static Specular Flow and Highlight with Deep Features for Specular Surface Detection. | Hirotaka Hachiya, Yuto Yoshimura |
| 2022 | ACML | Position-dependent partial convolutions for supervised spatial interpolation. | Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara |
| 2021 | ACML | Encoder-decoder-based image transformation approach for integrating precipitation forecasts. | Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda |
| 2021 | ACML | Multi-stream based marked point process. | Sujun Hong, Hirotaka Hachiya |
| 2020 | ECCV | Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning. | Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu |
| 2019 | ACML | Adaptive truncated residual regression for fine-grained regression problems. | Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda |
| 2018 | SMC | 2.5D Faster R-CNN for Distance Estimation. | Hirotaka Hachiya, Yuki Saito, Kazuma Iteya, Masaya Nomura, Takayuki Nakamura |
| 2018 | SMC | Laser Variational Autoencoder for Map Construction and Self-Localization. | Shohei Wakita, Takayuki Nakamura, Hirotaka Hachiya |
| 2013 | ICML | Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning. | Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama |
| 2012 | ICASSP | Computationally efficient multi-label classification by least-squares probabilistic classifier. | Hyun Ha Nam, Hirotaka Hachiya, Masashi Sugiyama |
| 2012 | ICML | Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting. | Ning Xie, Hirotaka Hachiya, Masashi Sugiyama |
| 2011 | ICML | On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. | Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya |
| 2010 | ICML | Nonparametric Return Distribution Approximation for Reinforcement Learning. | Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka |
| 2010 | UAI | Parametric Return Density Estimation for Reinforcement Learning. | Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka |
| 2009 | IJCAI | Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning. | Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama |
| 2009 | ICRA | Least absolute policy iteration for robust value function approximation. | Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura |
| 2008 | AAAI | Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. | Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters |
| 2007 | ICRA | Value Function Approximation on Non-Linear Manifolds for Robot Motor Control. | Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar |