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ORCIDGregory Gutmann
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- affiliation: Tokyo Institute of Technology, Japan
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2020 – today
- 2023
[j4]Akihiko Konagaya
, Gregory Gutmann, Yuhui Zhang:
Co-creation environment with cloud virtual reality and real-time artificial intelligence toward the design of molecular robots. J. Integr. Bioinform. 20(1) (2023)
2010 – 2019
- 2019
- [j3]Arif Pramudwiatmoko, Satoru Tsutoh, Gregory Gutmann, Yutaka Ueno, Akihiko Konagaya:
A high-performance haptic rendering system for virtual reality molecular modeling. Artif. Life Robotics 24(4): 542-549 (2019) - [i3]Yuhui Zhang, Greg Gutmann, Akihiko Konagaya:
Irregular Convolutional Auto-Encoder on Point Clouds. CoRR abs/1910.02686 (2019) - [i2]Gregory Gutmann, Akihiko Konagaya:
Predictive Simulation: Using Regression and Artificial Neural Networks to Negate Latency in Networked Interactive Virtual Reality. CoRR abs/1910.04703 (2019) - 2018
- [i1]Xi Chen, Gregory S. Gutmann, Joe Bungo:
Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program. CoRR abs/1812.08671 (2018) - 2017
- [j2]Gregory Gutmann, Daisuke Inoue, Akira Kakugo, Akihiko Konagaya:
Parallel Interaction Detection Algorithms for a Particle-based Live Controlled Real-time Microtubule Gliding Simulation System Accelerated by GPGPU. New Gener. Comput. 35(2): 157-180 (2017) - 2016
- [j1]Gregory Gutmann, Daisuke Inoue, Akira Kakugo, Akihiko Konagaya:
Real-time 3D microtubule gliding simulation accelerated by GPU computing. Int. J. Autom. Comput. 13(2): 108-116 (2016) - [c1]Gregory Gutmann, Daisuke Inoue, Akira Kakugo, Akihiko Konagaya:
Using a master and slave approach for GPGPU computing to achieve optimal scaling in a 3D real-time simulation. NEMS 2016: 95-100
Coauthor Index
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