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Shin-ichi Maeda
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2020 – today
- 2024
- [i27]Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda:
Deep Bayesian Filter for Bayes-faithful Data Assimilation. CoRR abs/2405.18674 (2024) - [i26]Naoki Fukaya, Koki Yamane, Shimpei Masuda, Avinash Ummadisingu, Shin-ichi Maeda, Kuniyuki Takahashi:
Four-Axis Adaptive Fingers Hand for Object Insertion: FAAF Hand. CoRR abs/2407.21245 (2024) - 2023
- [j17]Masataka Ohashi
, Shin-ichi Maeda
Helical Three Dimensional Reconstruction Using Bayesian Optimization for Cryogenic Electron Microscopy. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2970-2980 (2023) - [c30]Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda:
JPEG Information Regularized Deep Image Prior for Denoising. ICIP 2023: 380-384 - [c29]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: 17041-17060 - [c28]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: 4525-4532 - [i25]Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda:
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network. CoRR abs/2304.12770 (2023) - [i24]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 abs/2306.10656 (2023) - [i23]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 abs/2309.08312 (2023) - [i22]Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda:
JPEG Information Regularized Deep Image Prior for Denoising. CoRR abs/2310.00894 (2023) - 2022
- [j16]Guilherme Maeda
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping. IEEE Robotics Autom. Lett. 7(3): 6734-6741 (2022) - [c27]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: 477-492 - [c26]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: 101-108 - [i21]Guilherme Maeda, Naoki Fukaya, Shin-ichi Maeda:
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping. CoRR abs/2205.07066 (2022) - [i20]Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda, Shin-ichi Maeda:
F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers. CoRR abs/2206.06556 (2022) - 2021
- [c25]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: 15479-15489 - [c24]Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda:
Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods. ICRA 2021: 2620-2626 - [c23]Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan:
Reconnaissance for Reinforcement Learning with Safety Constraints. ECML/PKDD (2) 2021: 567-582 - [i19]Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda:
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods. CoRR abs/2105.12946 (2021) - [i18]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 abs/2108.11018 (2021) - [i17]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 abs/2109.13432 (2021) - 2020
- [c22]Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda:
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. ICRA 2020: 3356-3362 - [i16]Shin-ichi Maeda, Toshiki Nakanishi, Masanori Koyama:
Meta Learning as Bayes Risk Minimization. CoRR abs/2006.01488 (2020)
2010 – 2019
- 2019
- [j15]Takeru Miyato
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1979-1993 (2019) - [c21]Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato:
Robustness to Adversarial Perturbations in Learning from Incomplete Data. NeurIPS 2019: 5542-5552 - [c20]Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda:
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks. NeurIPS 2019: 5553-5563 - [i15]Katsuhiko Ishiguro, Shin-ichi Maeda, Masanori Koyama:
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks. CoRR abs/1902.01020 (2019) - [i14]Amir Najafi
Robustness to Adversarial Perturbations in Learning from Incomplete Data. CoRR abs/1905.13021 (2019) - [i13]Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda:
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. CoRR abs/1908.04471 (2019) - [i12]Shin-ichi Maeda, Hayato Watahiki, Shintarou Okada, Masanori Koyama:
Reconnaissance and Planning algorithm for constrained MDP. CoRR abs/1909.09540 (2019) - [i11]Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda:
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. CoRR abs/1911.08444 (2019) - 2018
- [c19]Ken M. Nakanishi
Neural Multi-scale Image Compression. ACCV (6) 2018: 718-732 - [c18]Yasuhiro Fujita, Shin-ichi Maeda:
Clipped Action Policy Gradient. ICML 2018: 1592-1601 - [c17]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: 81-92 - [i10]Yasuhiro Fujita, Shin-ichi Maeda:
Clipped Action Policy Gradient. CoRR abs/1802.07564 (2018) - [i9]Ken Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara:
Neural Multi-scale Image Compression. CoRR abs/1805.06386 (2018) - [i8]Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima:
BayesGrad: Explaining Predictions of Graph Convolutional Networks. CoRR abs/1807.01985 (2018) - [i7]Riku Arakawa, Sosuke Kobayashi, Yuya Unno, Yuta Tsuboi, Shin-ichi Maeda:
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback. CoRR abs/1810.11748 (2018) - 2017
- [j14]Yohei Kondo
Sparse Bayesian linear regression with latent masking variables. Neurocomputing 258: 3-12 (2017) - [j13]Takatomo Fujisawa, Rei Narikawa, Shin-ichi Maeda, Satoru Watanabe, Yu Kanesaki
CyanoBase: a large-scale update on its 20th anniversary. Nucleic Acids Res. 45(Database-Issue): D551-D554 (2017) - [j12]Kourosh Meshgi
Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker. Neural Networks 87: 132-148 (2017) - [c16]Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama:
Synthetic Gradient Methods with Virtual Forward-Backward Networks. ICLR (Workshop) 2017 - [i6]Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii:
Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning. CoRR abs/1704.03976 (2017) - [i5]Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii:
Neural Sequence Model Training via $α$-divergence Minimization. CoRR abs/1706.10031 (2017) - [i4]Hai Nguyen, Shin-ichi Maeda, Kenta Oono:
Semi-supervised learning of hierarchical representations of molecules using neural message passing. CoRR abs/1711.10168 (2017) - 2016
- [j11]Kourosh Meshgi
An occlusion-aware particle filter tracker to handle complex and persistent occlusions. Comput. Vis. Image Underst. 150: 81-94 (2016) - [c15]Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii
Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking. CRV 2016: 178-185 - [c14]Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii:
Distributional Smoothing by Virtual Adversarial Examples. ICLR (Poster) 2016 - 2015
- [j10]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): 628-643 (2015) - [c13]Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi:
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. ACML 2015: 49-64 - [c12]Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki:
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. ICML 2015: 1358-1366 - [i3]Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki:
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. CoRR abs/1504.05665 (2015) - [i2]Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda:
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. CoRR abs/1509.01004 (2015) - 2014
- [i1]Shin-ichi Maeda:
A Bayesian encourages dropout. CoRR abs/1412.7003 (2014) - 2012
- [j9]Tsuyoshi Ueno, Shin-ichi Maeda, Shin Ishii
Asymptotic analysis of value prediction by well-specified and misspecified models. Neural Networks 31: 88-92 (2012) - [c11]Daichi Nakano, Shin-ichi Maeda, Shin Ishii
Control of a Free-Falling Cat by Policy-Based Reinforcement Learning. ICANN (2) 2012: 116-123 - 2011
- [j8]Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii:
Generalized TD Learning. J. Mach. Learn. Res. 12: 1977-2020 (2011) - [c10]Takumi Tanaka, Shin-ichi Maeda, Shin Ishii
Motion Compensated X-ray CT Algorithm for Moving Objects. ICMLA (1) 2011: 80-83 - 2010
- [j7]Atsunori Kanemura
Bayesian image superresolution and hidden variable modeling. J. Syst. Sci. Complex. 23(1): 116-136 (2010) - [j6]Atsunori Kanemura
Sparse Bayesian Learning of Filters for Efficient Image Expansion. IEEE Trans. Image Process. 19(6): 1480-1490 (2010) - [c9]Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura
Bayesian X-ray computed tomography using material class knowledge. ICASSP 2010: 2126-2129
2000 – 2009
- 2009
- [j5]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): 3-14 (2009) - [j4]Shin-ichi Maeda, Shin Ishii
Learning a multi-dimensional companding function for lossy source coding. Neural Networks 22(7): 998-1010 (2009) - [j3]Atsunori Kanemura
Superresolution with compound Markov random fields via the variational EM algorithm. Neural Networks 22(7): 1025-1034 (2009) - [c8]Atsunori Kanemura
Learning color image expansion filters. ICIP 2009: 357-360 - [c7]Wataru Fukuda, Atsunori Kanemura
Superresolution from Occluded Scenes. ICONIP (2) 2009: 19-27 - [c6]Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii
Learning of Go Board State Evaluation Function by Artificial Neural Network. ICONIP (1) 2009: 598-605 - [c5]Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
Optimal Online Learning Procedures for Model-Free Policy Evaluation. ECML/PKDD (2) 2009: 473-488 - 2008
- [c4]Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii:
A semiparametric statistical approach to model-free policy evaluation. ICML 2008: 1072-1079 - 2007
- [j2]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): 1326-1342 (2007) - [c3]Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. ICANN (2) 2007: 611-620 - [c2]Shin-ichi Maeda, Shin Ishii
Optimization of Parametric Companding Function for an Efficient Coding. ICONIP (1) 2007: 713-722 - [c1]Mizuki Ihara, Shin-ichi Maeda, Shin Ishii
Estimation of the Source-Filter Model Using Temporal Dynamics. IJCNN 2007: 3098-3103 - 2005
- [j1]Shin-ichi Maeda, Wen-Jie Song
Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model. Neural Comput. 17(1): 115-144 (2005)
Coauthor Index
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