Publications
Shin-ichi Maeda
IROS 2024
By : Naoki Fukaya, Koki Yamane, Shimpei Masuda, Avinash Ummadisingu, Shin-ichi Maeda, Kuniyuki Takahashi
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
ICML 2023
Machine Learning / Deep Learning
By : Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda
IROS 2023
By : Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping
IEEE Robotics and Automation Letters (RA-L) with IROS2022
Reconnaissance for Reinforcement Learning with Safety Constraints
ECML2021
By : Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods
ICRA 2021
By : Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
ICCV 2021
Machine Learning / Deep Learning
By : Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
ICRA 2020
By : Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
NeurIPS 2019
Machine Learning / Deep Learning
By : Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
Robustness to Adversarial Perturbations in Learning from Incomplete Data
NeurIPS 2019
Machine Learning / Deep Learning
By : Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
Semi-supervised learning of hierarchical representations of molecules with neural message passing
Machine Learning for Molecules and Materials in NIPS 2017
Chemoinformatics / Materials Science
By : Hai Nguyen, Shin-ichi Maeda, Kenta Oono
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