Shin-ichi Maeda

78 papers A* 11A 2B 4C 1Misc 1Journal 46Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Bayesian Approach to Segmentation with Noisy Labels via Spatially Correlated Distributions.
Trans. Mach. Learn. Res.
Ryu Tadokoro, Tsukasa Takagi, Shin-ichi Maeda
2025 A* conf
Deep Bayesian Filter for Bayes-Faithful Data Assimilation.
ICML
Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda
2025 J jnl
Segmentation with Noisy Labels via Spatially Correlated Distributions.
CoRR
Ryu Tadokoro, Tsukasa Takagi, Shin-ichi Maeda
2024 J jnl
Deep Bayesian Filter for Bayes-faithful Data Assimilation.
CoRR
Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda
2024 A conf
Four-Axis Adaptive Fingers Hand for Object Insertion: FAAF Hand.
IROS
Naoki Fukaya, Koki Yamane, Shimpei Masuda, Avinash Ummadisingu, Shin-ichi Maeda, Kuniyuki Takahashi
2024 J jnl
Four-Axis Adaptive Fingers Hand for Object Insertion: FAAF Hand.
CoRR
Naoki Fukaya, Koki Yamane, Shimpei Masuda, Avinash Ummadisingu, Shin-ichi Maeda, Kuniyuki Takahashi
2023 A* conf
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network.
ICML
Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda
2023 J jnl
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network.
CoRR
Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda
2023 J jnl
Helical Three Dimensional Reconstruction Using Bayesian Optimization for Cryogenic Electron Microscopy.
IEEE ACM Trans. Comput. Biol. Bioinform.
Masataka Ohashi, Shin-ichi Maeda, Chikara Sato
2023 B conf
JPEG Information Regularized Deep Image Prior for Denoising.
ICIP
Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda
2023 J jnl
JPEG Information Regularized Deep Image Prior for Denoising.
CoRR
Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda
2023 A conf
Two-Fingered Hand with Gear-Type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand.
IROS
Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda
2023 J jnl
Two-fingered Hand with Gear-type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand.
CoRR
Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda
2023 J jnl
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics.
CoRR
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
2022 — conf
A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?
ECML/PKDD (3)
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
2022 J jnl
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping.
CoRR
Guilherme Maeda, Naoki Fukaya, Shin-ichi Maeda
2022 J jnl
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping.
IEEE Robotics Autom. Lett.
Guilherme Maeda, Naoki Fukaya, Shin-ichi Maeda
2022 B conf
F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers.
RO-MAN
Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda, Shin-ichi Maeda
2022 J jnl
F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers.
CoRR
Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda, Shin-ichi Maeda
2021 J jnl
A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training.
CoRR
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
2021 — conf
Reconnaissance for Reinforcement Learning with Safety Constraints.
ECML/PKDD (2)
Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan
2021 J jnl
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods.
CoRR
Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda
2021 A* conf
Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods.
ICRA
Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda
2021 A* conf
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency.
ICCV
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
2021 J jnl
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency.
CoRR
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
2020 A* conf
MANGA: Method Agnostic Neural-policy Generalization and Adaptation.
ICRA
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
2020 J jnl
Meta Learning as Bayes Risk Minimization.
CoRR
Shin-ichi Maeda, Toshiki Nakanishi, Masanori Koyama
2019 J jnl
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks.
CoRR
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
2019 A* conf
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks.
NeurIPS
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
2019 J jnl
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks.
CoRR
Katsuhiko Ishiguro, Shin-ichi Maeda, Masanori Koyama
2019 J jnl
MANGA: Method Agnostic Neural-policy Generalization and Adaptation.
CoRR
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
2019 J jnl
Reconnaissance and Planning algorithm for constrained MDP.
CoRR
Shin-ichi Maeda, Hayato Watahiki, Shintarou Okada, Masanori Koyama
2019 A* conf
Robustness to Adversarial Perturbations in Learning from Incomplete Data.
NeurIPS
Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
2019 J jnl
Robustness to Adversarial Perturbations in Learning from Incomplete Data.
CoRR
Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
2019 J jnl
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
2018 — conf
BayesGrad: Explaining Predictions of Graph Convolutional Networks.
ICONIP (5)
Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima
2018 J jnl
BayesGrad: Explaining Predictions of Graph Convolutional Networks.
CoRR
Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima
2018 A* conf
Clipped Action Policy Gradient.
ICML
Yasuhiro Fujita, Shin-ichi Maeda
2018 J jnl
Clipped Action Policy Gradient.
CoRR
Yasuhiro Fujita, Shin-ichi Maeda
2018 J jnl
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback.
CoRR
Riku Arakawa, Sosuke Kobayashi, Yuya Unno, Yuta Tsuboi, Shin-ichi Maeda
2018 — conf
Neural Multi-scale Image Compression.
ACCV (6)
Ken M. Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara
2018 J jnl
Neural Multi-scale Image Compression.
CoRR
Ken Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara
2017 J jnl
Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker.
Neural Networks
Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii
2017 J jnl
CyanoBase: a large-scale update on its 20th anniversary.
Nucleic Acids Res.
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
2017 J jnl
Neural Sequence Model Training via $α$-divergence Minimization.
CoRR
Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2017 J jnl
Semi-supervised learning of hierarchical representations of molecules using neural message passing.
CoRR
Hai Nguyen, Shin-ichi Maeda, Kenta Oono
2017 J jnl
Sparse Bayesian linear regression with latent masking variables.
Neurocomputing
Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda
2017 — conf
Synthetic Gradient Methods with Virtual Forward-Backward Networks.
ICLR (Workshop)
Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama
2017 J jnl
Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning.
CoRR
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
2016 J jnl
An occlusion-aware particle filter tracker to handle complex and persistent occlusions.
Comput. Vis. Image Underst.
Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Henrik Skibbe, Yu-zhe Li, Shin Ishii
2016 — conf
Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking.
CRV
Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii
2016 A* conf
Distributional Smoothing by Virtual Adversarial Examples.
ICLR (Poster)
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii
2015 C conf
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias.
ACML
Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi
2015 J jnl
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias.
CoRR
Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda
2015 J jnl
Efficient Monte Carlo Image Analysis for the Location of Vascular Entity.
IEEE Trans. Medical Imaging
Henrik Skibbe, Marco Reisert, Shin-ichi Maeda, Masanori Koyama, Shigeyuki Oba, Kei Ito, Shin Ishii
2015 A* conf
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood.
ICML
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
2015 J jnl
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood.
CoRR
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
2014 J jnl
A Bayesian encourages dropout.
CoRR
Shin-ichi Maeda
2012 J jnl
Asymptotic analysis of value prediction by well-specified and misspecified models.
Neural Networks
Tsuyoshi Ueno, Shin-ichi Maeda, Shin Ishii
2012 — conf
Control of a Free-Falling Cat by Policy-Based Reinforcement Learning.
ICANN (2)
Daichi Nakano, Shin-ichi Maeda, Shin Ishii
2011 J jnl
Generalized TD Learning.
J. Mach. Learn. Res.
Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
2011 — conf
Motion Compensated X-ray CT Algorithm for Moving Objects.
ICMLA (1)
Takumi Tanaka, Shin-ichi Maeda, Shin Ishii
2010 Misc conf
Bayesian X-ray computed tomography using material class knowledge.
ICASSP
Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura, Shin Ishii
2010 J jnl
Bayesian image superresolution and hidden variable modeling.
J. Syst. Sci. Complex.
Atsunori Kanemura, Shin-ichi Maeda, Wataru Fukuda, Shin Ishii
2010 J jnl
Sparse Bayesian Learning of Filters for Efficient Image Expansion.
IEEE Trans. Image Process.
Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2009 J jnl
Learning a multi-dimensional companding function for lossy source coding.
Neural Networks
Shin-ichi Maeda, Shin Ishii
2009 B conf
Learning color image expansion filters.
ICIP
Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2009 — conf
Learning of Go Board State Evaluation Function by Artificial Neural Network.
ICONIP (1)
Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii
2009 — conf
Optimal Online Learning Procedures for Model-Free Policy Evaluation.
ECML/PKDD (2)
Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
2009 J jnl
Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics.
Neural Comput. Appl.
Mizuki Ihara, Shin-ichi Maeda, Shin Ishii
2009 — conf
Superresolution from Occluded Scenes.
ICONIP (2)
Wataru Fukuda, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2009 J jnl
Superresolution with compound Markov random fields via the variational EM algorithm.
Neural Networks
Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2008 A* conf
A semiparametric statistical approach to model-free policy evaluation.
ICML
Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii
2007 — conf
Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields.
ICANN (2)
Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2007 B conf
Estimation of the Source-Filter Model Using Temporal Dynamics.
IJCNN
Mizuki Ihara, Shin-ichi Maeda, Shin Ishii
2007 J jnl
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis.
IEEE Trans. Neural Networks
Junichiro Hirayama, Shin-ichi Maeda, Shin Ishii
2007 — conf
Optimization of Parametric Companding Function for an Efficient Coding.
ICONIP (1)
Shin-ichi Maeda, Shin Ishii
2005 J jnl
Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model.
Neural Comput.
Shin-ichi Maeda, Wen-Jie Song, Shin Ishii