| 2025 | ICML | Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation. | Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii |
| 2025 | ICONIP | Implicit Neural Representations for Brain Image Registration Between Human and Marmoset. | Keisuke Fujimoto, Shin Ishii, Rui Gong, Ken Nakae, Noritaka Ichinohe, Henrik Skibbe |
| 2019 | IJCNN | Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos. | Zhen Liang, Hiroshi Higashi, Shigeyuki Oba, Shin Ishii |
| 2019 | SCA | Online motion synthesis framework using a simple mass model based on predictive coding. | Jae-Pyung Hwang, Shin Ishii, Shigeyuki Oba |
| 2018 | CVPR | Efficient Diverse Ensemble for Discriminative Co-Tracking. | Kourosh Meshgi, Shigeyuki Oba, Shin Ishii |
| 2017 | AVSS | Active collaborative ensemble tracking. | Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii |
| 2017 | ICANN | Individual Identification by Resting-State EEG Using Common Dictionary Learning. | Takashi Nishimoto, Yoshiki Azuma, Hiroshi Morioka, Shin Ishii |
| 2017 | ICANN | Estimation of the Change of Agents Behavior Strategy Using State-Action History. | Shihori Uchida, Shigeyuki Oba, Shin Ishii |
| 2017 | MVA | Active discriminative tracking using collective memory. | Kourosh Meshgi, Shigeyuki Oba, Shin Ishii |
| 2016 | AVSS | Robust discriminative tracking via query-by-bagging. | Kourosh Meshgi, Shigeyuki Oba, Shin Ishii |
| 2015 | ICONIP | Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network. | Jeonghun Baek, Shigeyuki Oba, Junichiro Yoshimoto, Kenji Doya, Shin Ishii |
| 2015 | ICONIP | Inverse Reinforcement Learning Based on Behaviors of a Learning Agent. | Shunsuke Sakurai, Shigeyuki Oba, Shin Ishii |
| 2015 | MVA | Expanding histogram of colors with gridding to improve tracking accuracy. | Kourosh Meshgi, Shin Ishii |
| 2015 | PAKDD | Principal Sensitivity Analysis. | Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii |
| 2014 | IROS | Modeling of human velocity habituation for a robotic wheelchair. | Yoichi Morales, Jamilah A. Abdur-Rahim, Jani Even, Atsushi Watanabe, Tadahisa Kondo, Norihiro Hagita, Takeshi Ogawa, Shin Ishii |
| 2013 | ICANN | Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data. | Yuya Okadome, Yutaka Nakamura, Yumi Shikauchi, Shin Ishii, Hiroshi Ishiguro |
| 2013 | IROS | A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. | Atsunori Kanemura, Yoichi Morales Saiki, Motoaki Kawanabe, Hiroshi Morioka, Nagasrikanth Kallakuri, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita, Shin Ishii |
| 2012 | ICANN | Control of a Free-Falling Cat by Policy-Based Reinforcement Learning. | Daichi Nakano, Shin-ichi Maeda, Shin Ishii |
| 2012 | ICONIP | A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification. | Takashi Takenouchi, Shin Ishii |
| 2011 | ICMLA | Motion Compensated X-ray CT Algorithm for Moving Objects. | Takumi Tanaka, Shin-ichi Maeda, Shin Ishii |
| 2010 | ICANN | Hidden Markov Model for Human Decision Process in a Partially Observable Environment. | Masahiro Adomi, Yumi Shikauchi, Shin Ishii |
| 2010 | ICANN | Noise-Induced Collective Migration for Neural Crest Cells. | Masataka Yamao, Honda Naoki, Shin Ishii |
| 2010 | ICASSP | Bayesian X-ray computed tomography using material class knowledge. | Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura, Shin Ishii |
| 2010 | ICONIP | Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers. | Junichiro Hirayama, Aapo Hyvrinen, Shin Ishii |
| 2009 | ICANN | An Additive Reinforcement Learning. | Takeshi Mori, Shin Ishii |
| 2009 | ICIP | Learning color image expansion filters. | Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii |
| 2009 | ICONIP | Superresolution from Occluded Scenes. | Wataru Fukuda, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii |
| 2009 | ICONIP | Robust Approximation in Decomposed Reinforcement Learning. | Takeshi Mori, Shin Ishii |
| 2009 | ICONIP | Learning of Go Board State Evaluation Function by Artificial Neural Network. | Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii |
| 2009 | PAKDD | Dynamic Exponential Family Matrix Factorization. | Kohei Hayashi, Junichiro Hirayama, Shin Ishii |
| 2008 | ICANN | Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments. | Yu Hiei, Takeshi Mori, Shin Ishii |
| 2008 | ICANN | A Continuous Internal-State Controller for Partially Observable Markov Decision Processes. | Yuki Taniguchi, Takeshi Mori, Shin Ishii |
| 2008 | ICML | A semiparametric statistical approach to model-free policy evaluation. | Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii |
| 2008 | ICONIP | Interpreting Dopamine Activities in Stochastic Reward Tasks. | Akiyo Asahina, Junichiro Hirayama, Shin Ishii |
| 2008 | ICONIP | On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. | Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, Franois B. Vialatte, Andrzej Cichocki |
| 2008 | ICONIP | A Closed-Form Estimator of Fully Visible Boltzmann Machines. | Junichiro Hirayama, Shin Ishii |
| 2007 | ICANN | Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. | Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii |
| 2007 | ICANN | Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System. | Yuki Taniguchi, Takeshi Mori, Shin Ishii |
| 2007 | ICONIP | Bayesian Collaborative Predictors for General User Modeling Tasks. | Junichiro Hirayama, Masashi Nakatomi, Takashi Takenouchi, Shin Ishii |
| 2007 | ICONIP | Optimization of Parametric Companding Function for an Efficient Coding. | Shin-ichi Maeda, Shin Ishii |
| 2007 | ICONIP | Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions. | Tomohiro Shibata, Takashi Bando, Shin Ishii |
| 2007 | ICONIP | Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking. | Yuki Tsukada, Yuichi Sakumura, Shin Ishii |
| 2007 | IJCNN | Estimation of the Source-Filter Model Using Temporal Dynamics. | Mizuki Ihara, Shin-ichi Maeda, Shin Ishii |
| 2007 | IJCNN | A probabilistic decoding approach to multi-class classification. | Takashi Takenouchi, Shin Ishii |
| 2006 | ICANN | Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments. | Hajime Fujita, Yutaka Nakamura, Shin Ishii |
| 2006 | ICANN | Semi-supervised Significance Score of Differential Gene Expressions. | Shigeyuki Oba, Shin Ishii |
| 2006 | IROS | Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic. | Tsuyoshi Ueno, Yutaka Nakamura, Takashi Takuma, Tomohiro Shibata, Koh Hosoda, Shin Ishii |
| 2005 | BIBE | Multi-Scale Clustering for Gene Expression Profiling Data. | Shigeyuki Oba, Kikuya Kato, Shin Ishii |
| 2005 | ICANN | An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process. | Yutaka Nakamura, Takeshi Mori, Shin Ishii |
| 2005 | ICANN | Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers. | Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii |
| 2005 | IROS | On-line learning of a feedback controller for quasi-passive-dynamic walking by a stochastic policy gradient method. | Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, Shin Ishii |
| 2004 | AAAI | Reinforcement Learning for CPG-Driven Biped Robot. | Takeshi Mori, Yutaka Nakamura, Masa-aki Sato, Shin Ishii |
| 2004 | ICPR | Switching Particle Filters for Efficient Real-time Visual Tracking. | Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii |
| 2004 | IJCNN | A solving method for MDPs by minimizing variational free energy. | Junichiro Yoshimoto, Shin Ishii |
| 2004 | PPSN | Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot. | Yutaka Nakamura, Takeshi Mori, Shin Ishii |
| 2003 | ESANN | A model-based reinforcement learning: a computational model and an fMRI study. | Wako Yoshida, Shin Ishii |
| 2003 | ICANN | Prior Hyperparameters in Bayesian PCA. | Shigeyuki Oba, Masa-aki Sato, Shin Ishii |
| 2003 | ICANN | System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning. | Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato |
| 2003 | SMC | A reinforcement learning scheme for a multi-agent card game. | Hajime Fujita, Yoichiro Matsuno, Shin Ishii |
| 2002 | ICANN | Missing Value Estimation Using Mixture of PCAs. | Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii |
| 2002 | ICANN | Reinforcement Learning for Biped Locomotion. | Masa-aki Sato, Yutaka Nakamura, Shin Ishii |
| 2002 | ICANN | Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. | Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato |
| 2002 | ICANN | Clustering of Gene Expression Data by Mixture of PCA Models. | Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii |
| 2001 | ICANN | Gaussian Process Approach to Stochastic Spiking Neurons with Reset. | Ken-ichi Amemori, Shin Ishii |
| 2001 | ICANN | Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model. | Ken-ichi Amemori, Shin Ishii |
| 2001 | ICANN | On-Line Learning Methods for Gaussian Processes. | Shigeyuki Oba, Masa-aki Sato, Shin Ishii |
| 2000 | ICASSP | Reconstruction of chaotic dynamics using a noise-robust embedding method. | Wako Yoshida, Shin Ishii, Masa-aki Sato |
| 2000 | IJCNN | On-Line EM Reinforcement Learning. | Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato |
| 1998 | ICONIP | Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information. | Ken-ichi Amemori, Shin Ishii |
| 1998 | ICONIP | On-Line EM Algorithm for Mixture of Local Experts. | Masa-aki Sato, Shin Ishii |
| 1998 | ICONIP | Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning. | Taku Yoshioka, Shin Ishii, Minoru Ito |