Hirotaka Hachiya

58 papers A* 7A 2B 2C 6Misc 2Journal 29Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Transformer-Based Fully Trainable Point Process. IEICE Trans. Inf. Syst. Hirotaka Hachiya, Fumiya Nishizawa
2025	—	`conf`	Deep Supervised with Fine-Grained Feature Fusion Network for Cross-Modal Retrieval. ICAIIC Jiwei Zhang, Hirotaka Hachiya
2025	J	`jnl`	Enhancing semantic audio-visual representation learning with supervised multi-scale attention. Pattern Anal. Appl. Jiwei Zhang, Yi Yu, Suhua Tang, Guo-Jun Qi, Haiyuan Wu, Hirotaka Hachiya
2025	J	`jnl`	FIRE-AD: frequency-dependent image reconstruction error for micro defect detection. Mach. Vis. Appl. Yuhei Nomura, Hirotaka Hachiya
2024	J	`jnl`	A Multi-Fusion Residual Attention U-Net Using Temporal Information for Segmentation of Left Ventricular Structures in 2D Echocardiographic Videos. Int. J. Imaging Syst. Technol. Kai Wang, Hirotaka Hachiya, Haiyuan Wu
2024	C	`conf`	MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters. ACML Hirotaka Hachiya, Yuto Kuroki, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara
2024	—	`conf`	Randomized Channel-Pass Mask for Channel-Wise Explanation of Black-Box Models. ACCV (8) Hirotaka Hachiya, Daiki Nisawa
2024	J	`jnl`	Set representative vector and its asymmetric attention-based transformation for heterogeneous set-to-set matching. Neurocomputing Hirotaka Hachiya, Yuki Saito
2024	J	`jnl`	Specular Surface Detection with Deep Static Specular Flow and Highlight. Mach. Vis. Appl. Hirotaka Hachiya, Yuto Yoshimura
2023	Misc	`conf`	Combining Static Specular Flow and Highlight with Deep Features for Specular Surface Detection. MVA Hirotaka Hachiya, Yuto Yoshimura
2023	C	`conf`	Frequency-dependent Image Reconstruction Error for Micro Defect Detection. ACML Yuhei Nomura, Hirotaka Hachiya
2023	J	`jnl`	Multi-feature subspace representation network for person re-identification via bird's-eye view image. Comput. Animat. Virtual Worlds Jiwei Zhang, Haiyuan Wu, Qian Chen, Hirotaka Hachiya
2023	J	`jnl`	Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions. Neural Comput. Hirotaka Hachiya, Sujun Hong
2022	C	`conf`	Position-dependent partial convolutions for supervised spatial interpolation. ACML Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara
2021	C	`conf`	Encoder-decoder-based image transformation approach for integrating precipitation forecasts. ACML Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda
2021	C	`conf`	Multi-stream based marked point process. ACML Sujun Hong, Hirotaka Hachiya
2020	—	`conf`	Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning. ECCV (17) Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu
2020	J	`jnl`	Translation Between Waves, wave2wave. CoRR Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda
2019	C	`conf`	Adaptive truncated residual regression for fine-grained regression problems. ACML Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda
2019	J	`jnl`	Deep Set-to-Set Matching and Learning. CoRR Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu
2018	B	`conf`	2.5D Faster R-CNN for Distance Estimation. SMC Hirotaka Hachiya, Yuki Saito, Kazuma Iteya, Masaya Nomura, Takayuki Nakamura
2018	B	`conf`	Laser Variational Autoencoder for Map Construction and Self-Localization. SMC Shohei Wakita, Takayuki Nakamura, Hirotaka Hachiya
2014	J	`jnl`	Information-Maximization Clustering Based on Squared-Loss Mutual Information. Neural Comput. Masashi Sugiyama, Gang Niu, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya
2013	J	`jnl`	Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting. IEICE Trans. Inf. Syst. Ning Xie, Hirotaka Hachiya, Masashi Sugiyama
2013	J	`jnl`	Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifiers. IEICE Trans. Inf. Syst. Hyun Ha Nam, Hirotaka Hachiya, Masashi Sugiyama
2013	J	`jnl`	Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration. Neural Comput. Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama
2013	J	`jnl`	Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration CoRR Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama
2013	J	`jnl`	Feature Selection via l IEICE Trans. Inf. Syst. Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama
2013	—	`conf`	NSH: Normality Sensitive Hashing for Anomaly Detection. ICCV Workshops Hirotaka Hachiya, Masakazu Matsugu
2013	J	`jnl`	Relative Density-Ratio Estimation for Robust Distribution Comparison. Neural Comput. Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama
2013	—	`conf`	Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning. ICML (3) Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama
2012	J	`jnl`	Analysis and improvement of policy gradient estimation. Neural Networks Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama
2012	J	`jnl`	Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting CoRR Ning Xie, Hirotaka Hachiya, Masashi Sugiyama
2012	A*	`conf`	Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting. ICML Ning Xie, Hirotaka Hachiya, Masashi Sugiyama
2012	Misc	`conf`	Computationally efficient multi-label classification by least-squares probabilistic classifier. ICASSP Hyun Ha Nam, Hirotaka Hachiya, Masashi Sugiyama
2012	J	`jnl`	Feature Selection via L1-Penalized Squared-Loss Mutual Information CoRR Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama
2012	J	`jnl`	Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition. Neurocomputing Hirotaka Hachiya, Masashi Sugiyama, Naonori Ueda
2012	J	`jnl`	Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems. IEICE Trans. Inf. Syst. Jaak Simm, Masashi Sugiyama, Hirotaka Hachiya
2012	J	`jnl`	Parametric Return Density Estimation for Reinforcement Learning CoRR Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka
2011	—	`conf`	Analysis and Improvement of Policy Gradient Estimation. NIPS Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama
2011	A*	`conf`	On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. ICML Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya
2011	—	`conf`	Relative Density-Ratio Estimation for Robust Distribution Comparison. NIPS Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama
2011	J	`jnl`	Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning. Neural Comput. Hirotaka Hachiya, Jan Peters, Masashi Sugiyama
2010	A	`conf`	Conditional Density Estimation via Least-Squares Density Ratio Estimation. AISTATS Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara
2010	J	`jnl`	Efficient exploration through active learning for value function approximation in reinforcement learning. Neural Networks Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama
2010	—	`conf`	Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information. ECML/PKDD (1) Hirotaka Hachiya, Masashi Sugiyama
2010	J	`jnl`	Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. IEICE Trans. Inf. Syst. Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura
2010	J	`jnl`	Least-Squares Conditional Density Estimation. IEICE Trans. Inf. Syst. Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara
2010	A*	`conf`	Nonparametric Return Distribution Approximation for Reinforcement Learning. ICML Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka
2010	A	`conf`	Parametric Return Density Estimation for Reinforcement Learning. UAI Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka
2009	A*	`conf`	Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning. IJCAI Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama
2009	J	`jnl`	Adaptive importance sampling for value function approximation in off-policy reinforcement learning. Neural Networks Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters
2009	—	`conf`	Efficient Sample Reuse in EM-Based Policy Search. ECML/PKDD (1) Hirotaka Hachiya, Jan Peters, Masashi Sugiyama
2009	—	`conf`	Efficient data reuse in value function approximation. ADPRL Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters
2009	A*	`conf`	Least absolute policy iteration for robust value function approximation. ICRA Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura
2008	A*	`conf`	Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. AAAI Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters
2008	J	`jnl`	Geodesic Gaussian kernels for value function approximation. Auton. Robots Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar
2007	A*	`conf`	Value Function Approximation on Non-Linear Manifolds for Robot Motor Control. ICRA Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar