| 2025 | ICML | Deep Bayesian Filter for Bayes-Faithful Data Assimilation. | Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda |
| 2024 | IROS | Four-Axis Adaptive Fingers Hand for Object Insertion: FAAF Hand. | Naoki Fukaya, Koki Yamane, Shimpei Masuda, Avinash Ummadisingu, Shin-ichi Maeda, Kuniyuki Takahashi |
| 2023 | ICIP | JPEG Information Regularized Deep Image Prior for Denoising. | Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda |
| 2023 | ICML | Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network. | Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda |
| 2023 | IROS | Two-Fingered Hand with Gear-Type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand. | Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda |
| 2022 | RO-MAN | F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers. | Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda, Shin-ichi Maeda |
| 2021 | ICCV | Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. | Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon |
| 2021 | ICRA | Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods. | Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda |
| 2020 | ICRA | MANGA: Method Agnostic Neural-policy Generalization and Adaptation. | Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda |
| 2018 | ACCV | Neural Multi-scale Image Compression. | Ken M. Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara |
| 2018 | ICML | Clipped Action Policy Gradient. | Yasuhiro Fujita, Shin-ichi Maeda |
| 2018 | ICONIP | BayesGrad: Explaining Predictions of Graph Convolutional Networks. | Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima |
| 2017 | ICLR | Synthetic Gradient Methods with Virtual Forward-Backward Networks. | Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama |
| 2015 | ACML | Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. | Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi |
| 2015 | ICML | Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. | Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki |
| 2012 | ICANN | Control of a Free-Falling Cat by Policy-Based Reinforcement Learning. | Daichi Nakano, Shin-ichi Maeda, Shin Ishii |
| 2011 | ICMLA | Motion Compensated X-ray CT Algorithm for Moving Objects. | Takumi Tanaka, Shin-ichi Maeda, Shin Ishii |
| 2010 | ICASSP | Bayesian X-ray computed tomography using material class knowledge. | Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura, 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 | Learning of Go Board State Evaluation Function by Artificial Neural Network. | Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii |
| 2008 | ICML | A semiparametric statistical approach to model-free policy evaluation. | Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii |
| 2007 | ICANN | Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. | Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii |
| 2007 | ICONIP | Optimization of Parametric Companding Function for an Efficient Coding. | Shin-ichi Maeda, Shin Ishii |
| 2007 | IJCNN | Estimation of the Source-Filter Model Using Temporal Dynamics. | Mizuki Ihara, Shin-ichi Maeda, Shin Ishii |