Shin-ichi Maeda

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 48

Top Topics

Reinforcement Learning

Data Assimilation

Policy Gradient

Top Venues

Publications

Naoki Fukaya, Koki Yamane, Shimpei Masuda, Avinash Ummadisingu, Shin-ichi Maeda, Kuniyuki Takahashi
Four-Axis Adaptive Fingers Hand for Object Insertion: FAAF Hand. CoRR (2024)
Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda
Deep Bayesian Filter for Bayes-faithful Data Assimilation. CoRR (2024)
Kenta Oono, Nontawat Charoenphakdee, Kotatsu Bito, Zhengyan Gao, Yoshiaki Ota, Shoichiro Yamaguchi, Yohei Sugawara, Shin-ichi Maeda, Kunihiko Miyoshi, Yuki Saito, Koki Tsuda, Hiroshi Maruyama, Kohei Hayashi
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. CoRR (2023)
Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network. ICML (2023)
Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network. CoRR (2023)
Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda
Two-fingered Hand with Gear-type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand. CoRR (2023)
Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda
JPEG Information Regularized Deep Image Prior for Denoising. CoRR (2023)
Masataka Ohashi, Shin-ichi Maeda, Chikara Sato
Helical Three Dimensional Reconstruction Using Bayesian Optimization for Cryogenic Electron Microscopy. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda
JPEG Information Regularized Deep Image Prior for Denoising. ICIP (2023)
Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda
Two-Fingered Hand with Gear-Type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand. IROS (2023)
Guilherme Maeda, Naoki Fukaya, Shin-ichi Maeda
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping. CoRR (2022)
Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda, Shin-ichi Maeda
F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers. RO-MAN (2022)
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective? ECML/PKDD (3) (2022)
Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda, Shin-ichi Maeda
F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers. CoRR (2022)
Guilherme Maeda, Naoki Fukaya, Shin-ichi Maeda
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping. IEEE Robotics Autom. Lett. 7 (3) (2022)
Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda
Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods. ICRA (2021)
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training. CoRR (2021)
Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan
Reconnaissance for Reinforcement Learning with Safety Constraints. ECML/PKDD (2) (2021)
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. CoRR (2021)
Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods. CoRR (2021)
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. ICCV (2021)
Shin-ichi Maeda, Toshiki Nakanishi, Masanori Koyama
Meta Learning as Bayes Risk Minimization. CoRR (2020)
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. ICRA (2020)
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks. NeurIPS (2019)
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. CoRR (2019)
Katsuhiko Ishiguro, Shin-ichi Maeda, Masanori Koyama
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks. CoRR (2019)
Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
Robustness to Adversarial Perturbations in Learning from Incomplete Data. CoRR (2019)
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. CoRR (2019)
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41 (8) (2019)
Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
Robustness to Adversarial Perturbations in Learning from Incomplete Data. NeurIPS (2019)
Shin-ichi Maeda, Hayato Watahiki, Shintarou Okada, Masanori Koyama
Reconnaissance and Planning algorithm for constrained MDP. CoRR (2019)
Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima
BayesGrad: Explaining Predictions of Graph Convolutional Networks. ICONIP (5) (2018)
Ken Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara
Neural Multi-scale Image Compression. CoRR (2018)
Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima
BayesGrad: Explaining Predictions of Graph Convolutional Networks. CoRR (2018)
Ken M. Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara
Neural Multi-scale Image Compression. ACCV (6) (2018)
Yasuhiro Fujita, Shin-ichi Maeda
Clipped Action Policy Gradient. CoRR (2018)
Yasuhiro Fujita, Shin-ichi Maeda
Clipped Action Policy Gradient. ICML (2018)
Riku Arakawa, Sosuke Kobayashi, Yuya Unno, Yuta Tsuboi, Shin-ichi Maeda
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback. CoRR (2018)
Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Neural Sequence Model Training via $α$-divergence Minimization. CoRR (2017)
Hai Nguyen, Shin-ichi Maeda, Kenta Oono
Semi-supervised learning of hierarchical representations of molecules using neural message passing. CoRR (2017)
Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama
Synthetic Gradient Methods with Virtual Forward-Backward Networks. ICLR (Workshop) (2017)
Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii
Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker. Neural Networks 87 (2017)
Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda
Sparse Bayesian linear regression with latent masking variables. Neurocomputing 258 (2017)
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning. CoRR (2017)
Takatomo Fujisawa, Rei Narikawa, Shin-ichi Maeda, Satoru Watanabe, Yu Kanesaki, Koichi Kobayashi, Jiro Nomata, Mitsumasa Hanaoka, Mai Watanabe, Shigeki Ehira, Eiji Suzuki, Koichiro Awai, Yasukazu Nakamura
CyanoBase: a large-scale update on its 20th anniversary. Nucleic Acids Res. 45 (Database-Issue) (2017)
Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Henrik Skibbe, Yu-zhe Li, Shin Ishii
An occlusion-aware particle filter tracker to handle complex and persistent occlusions. Comput. Vis. Image Underst. 150 (2016)
Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii
Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking. CRV (2016)
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii
Distributional Smoothing by Virtual Adversarial Examples. ICLR (Poster) (2016)
Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. CoRR (2015)
Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. ACML (2015)
Henrik Skibbe, Marco Reisert, Shin-ichi Maeda, Masanori Koyama, Shigeyuki Oba, Kei Ito, Shin Ishii
Efficient Monte Carlo Image Analysis for the Location of Vascular Entity. IEEE Trans. Medical Imaging 34 (2) (2015)
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. ICML (2015)
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. CoRR (2015)
Shin-ichi Maeda
A Bayesian encourages dropout. CoRR (2014)
Tsuyoshi Ueno, Shin-ichi Maeda, Shin Ishii
Asymptotic analysis of value prediction by well-specified and misspecified models. Neural Networks 31 (2012)
Daichi Nakano, Shin-ichi Maeda, Shin Ishii
Control of a Free-Falling Cat by Policy-Based Reinforcement Learning. ICANN (2) (2012)
Takumi Tanaka, Shin-ichi Maeda, Shin Ishii
Motion Compensated X-ray CT Algorithm for Moving Objects. ICMLA (1) (2011)
Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
Generalized TD Learning. J. Mach. Learn. Res. 12 (2011)
Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura, Shin Ishii
Bayesian X-ray computed tomography using material class knowledge. ICASSP (2010)
Atsunori Kanemura, Shin-ichi Maeda, Wataru Fukuda, Shin Ishii
Bayesian image superresolution and hidden variable modeling. J. Syst. Sci. Complex. 23 (1) (2010)
Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Sparse Bayesian Learning of Filters for Efficient Image Expansion. IEEE Trans. Image Process. 19 (6) (2010)
Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Learning color image expansion filters. ICIP (2009)
Shin-ichi Maeda, Shin Ishii
Learning a multi-dimensional companding function for lossy source coding. Neural Networks 22 (7) (2009)
Mizuki Ihara, Shin-ichi Maeda, Shin Ishii
Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics. Neural Comput. Appl. 18 (1) (2009)
Wataru Fukuda, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Superresolution from Occluded Scenes. ICONIP (2) (2009)
Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
Optimal Online Learning Procedures for Model-Free Policy Evaluation. ECML/PKDD (2) (2009)
Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii
Learning of Go Board State Evaluation Function by Artificial Neural Network. ICONIP (1) (2009)
Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Superresolution with compound Markov random fields via the variational EM algorithm. Neural Networks 22 (7) (2009)
Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii
A semiparametric statistical approach to model-free policy evaluation. ICML (2008)
Shin-ichi Maeda, Shin Ishii
Optimization of Parametric Companding Function for an Efficient Coding. ICONIP (1) (2007)
Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. ICANN (2) (2007)
Junichiro Hirayama, Shin-ichi Maeda, Shin Ishii
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis. IEEE Trans. Neural Networks 18 (5) (2007)
Mizuki Ihara, Shin-ichi Maeda, Shin Ishii
Estimation of the Source-Filter Model Using Temporal Dynamics. IJCNN (2007)
Shin-ichi Maeda, Wen-Jie Song, Shin Ishii
Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model. Neural Comput. 17 (1) (2005)