Hachiya, Hirotaka

21 publications

ACML 2024 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

ACML 2023 Frequency-Dependent Image Reconstruction Error for Micro Defect Detection Yuhei Nomura, Hirotaka Hachiya

ACML 2022 Position-Dependent Partial Convolutions for Supervised Spatial Interpolation Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara

ACML 2021 Encoder-Decoder-Based Image Transformation Approach for Integrating Precipitation Forecasts Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda

ACML 2021 Multi-Stream Based Marked Point Process Sujun Hong, Hirotaka Hachiya

ECCV 2020 Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu

ICLR 2020 Translation Between Waves, Wave2wave Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda

ACML 2019 Adaptive Truncated Residual Regression for Fine-Grained Regression Problems Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda

ICCVW 2013 NSH: Normality Sensitive Hashing for Anomaly Detection Hirotaka Hachiya, Masakazu Matsugu

ICML 2013 Squared-Loss Mutual Information Regularization: A Novel Information-Theoretic Approach to Semi-Supervised Learning Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama

ICML 2012 Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting Ning Xie, Hirotaka Hachiya, Masashi Sugiyama

NeurIPS 2011 Analysis and Improvement of Policy Gradient Estimation Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama

ICML 2011 On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya

NeurIPS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama

AISTATS 2010 Conditional Density Estimation via Least-Squares Density Ratio Estimation Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara

ECML-PKDD 2010 Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information Hirotaka Hachiya, Masashi Sugiyama

ICML 2010 Nonparametric Return Distribution Approximation for Reinforcement Learning Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka

UAI 2010 Parametric Return Density Estimation for Reinforcement Learning Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka

IJCAI 2009 Active Policy Iteration: Efficient Exploration Through Active Learning for Value Function Approximation in Reinforcement Learning Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama

ECML-PKDD 2009 Efficient Sample Reuse in EM-Based Policy Search Hirotaka Hachiya, Jan Peters, Masashi Sugiyama

AAAI 2008 Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters