Eiichi Matsumoto
Eiichi Matsumoto
Preferred Networks
Verified email at preferred.jp
Title
Cited by
Cited by
Year
Temporal generative adversarial nets with singular value clipping
M Saito, E Matsumoto, S Saito
Proceedings of the IEEE International Conference on Computer Vision, 2830-2839, 2017
1462017
Learning discrete representations via information maximizing self-augmented training
W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
882017
Factor analysis influencing postoperative hospital stay and medical costs for patients with definite, suspected, or unmatched diagnosis of acute cholecystitis according to the …
A Hayasaki, K Takahashi, T Fujii, K Kumamoto, K Fujii, E Matsumoto, ...
Gastroenterology research and practice 2016, 2016
102016
Map-based multi-policy reinforcement learning: enhancing adaptability of robots by deep reinforcement learning
A Kume, E Matsumoto, K Takahashi, W Ko, J Tan
arXiv preprint arXiv:1710.06117, 2017
62017
End-to-end learning of object grasp poses in the Amazon Robotics Challenge
E Matsumoto, M Saito, A Kume, J Tan
Warehouse Picking Automation Workshop (WPAW), ICRA, 2017
42017
Machine learning device, robot system, and machine learning method for learning workpiece picking operation
T Yamazaki, T Oyama, S Suyama, K Nakayama, H Kumiya, H Nakagawa, ...
US Patent App. 15/223,141, 2017
32017
Machine learning device, robot controller, robot system, and machine learning method for learning action pattern of human
T Tsuda, D Okanohara, R Okuta, E Matsumoto, K Kawaai
US Patent App. 15/222,947, 2017
22017
Machine learning method and machine learning device for learning fault conditions, and fault prediction device and fault prediction system including the machine learning device
S Inagaki, H Nakagawa, D Okanohara, R Okuta, E Matsumoto, K Kawaai
US Patent App. 16/407,451, 2019
12019
Machine learning method and machine learning device for learning fault conditions, and fault prediction device and fault prediction system including the machine learning device
S Inagaki, H Nakagawa, D Okanohara, R Okuta, E Matsumoto, K Kawaai
US Patent 10,317,853, 2019
12019
Learning device unit
D Okanohara, R Okuta, E Matsumoto, K Kawaai
US Patent App. 14/907,503, 2017
12017
FCN-Based 6D Robotic Grasping for Arbitrary Placed Objects
H Kusano, A Kume, E Matsumoto, J Tan
International Conference on Robotics and Automation (ICRA): Warehouse …, 2017
12017
Hepaticojejunostomy by interventional radiology with an expandable metallic stent after extended right hepatectomy for hilar cholangiocarcinoma: case report
K Yamagiwa, M Tabata, E Matsumoto, S Mizuno, S Isaji
Surgical Laparoscopy Endoscopy & Percutaneous Techniques 18 (4), 400-403, 2008
12008
Machine learning device, robot controller, robot system, and machine learning method for learning action pattern of human
T Tsuda, D Okanohara, R Okuta, E Matsumoto, K Kawaai
US Patent App. 16/371,809, 2019
2019
Robot system and workpiece picking method
T Yamazaki, D Okanohara, E Matsumoto
US Patent App. 16/117,612, 2019
2019
Automatic coloring of line drawing
E Matsumoto
US Patent App. 16/135,627, 2019
2019
Unsupervised Discrete Representation Learning
W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 97-119, 2019
2019
胃 glomus 腫瘍の 1 切除例
K KUMAMOTO, E MATSUMOTO, K FUJII, K TAKAHASHI, S MIYAHARA, ...
三重医学 57 (1), 11-15, 2014
2014
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