Seuraa
Eiichi Matsumoto
Eiichi Matsumoto
Preferred Networks
Vahvistettu sähköpostiosoite verkkotunnuksessa preferred.jp
Nimike
Viittaukset
Viittaukset
Vuosi
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
7102017
Learning discrete representations via information maximizing self-augmented training
W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama
International conference on machine learning, 1558-1567, 2017
5672017
Decomposing nerf for editing via feature field distillation
S Kobayashi, E Matsumoto, V Sitzmann
Advances in Neural Information Processing Systems 35, 23311-23330, 2022
3262022
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 10,717,196, 2020
792020
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
562019
Surface-aligned neural radiance fields for controllable 3d human synthesis
T Xu, Y Fujita, E Matsumoto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
552022
Internal combustion engine with crankcase ventilation system
E Matsumoto, T Aruga
US Patent 5,069,192, 1991
411991
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 11,275,345, 2022
302022
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
292017
End-to-end learning of object grasp poses in the Amazon Robotics Challenge
E Matsumoto, M Saito, A Kume, J Tan
Advances on Robotic Item Picking: Applications in Warehousing & E-Commerce …, 2020
262020
Formed in place (FIP) gasket arrangement
K Kawai, E Matsumoto, M Teramoto
US Patent 4,832,349, 1989
241989
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
212017
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 10,807,235, 2020
152020
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 (1), 7675953, 2016
152016
Learning device unit
D Okanohara, R Okuta, E Matsumoto, K Kawaai
US Patent 11,475,289, 2022
102022
Learning device, learning method, learning model, detection device and grasping system
H Kusano, K Ayaka, E Matsumoto
US Patent 11,034,018, 2021
102021
Fan device for internal combustion engine
Y Kikuchi, E Matsumoto, Y Tanaka
US Patent 4,550,695, 1985
91985
Oil pump driving mechanism
E Matsumoto
US Patent 4,879,981, 1989
81989
Addressing class imbalance in scene graph parsing by learning to contrast and score
H Huang, S Saito, Y Kikuchi, E Matsumoto, W Tang, PS Yu
Proceedings of the Asian Conference on Computer Vision, 2020
72020
Lupus anticoagulant-hypoprothrombinemia syndrome with a false-positive test for coagulation factor inhibitors
S Morinaga, Y Ide, M Kusumoto, M Ogata, K Takaki, E Matsumoto
[Rinsho ketsueki] The Japanese journal of clinical hematology 53 (7), 716-720, 2012
52012
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