Kai Fukami

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Voronoi Tessellation

Flow Estimation

Top Venues

SN Comput. Sci.

Nat. Mach. Intell.

Neural Comput. Appl.

Publications

Mitsuaki Matsuo, Kai Fukami, Taichi Nakamura, Masaki Morimoto, Koji Fukagata
Reconstructing Three-Dimensional Bluff Body Wake from Sectional Flow Fields with Convolutional Neural Networks. SN Comput. Sci. 5 (3) (2024)
Koichiro Yawata, Kai Fukami, Kunihiko Taira, Hiroya Nakao
Phase autoencoder for limit-cycle oscillators. CoRR (2024)
Vishal Anatharaman, Jason Feldkamp, Kai Fukami, Kunihiko Taira
Image and video compression of fluid flow data. CoRR (2023)
Kai Fukami, Kunihiko Taira
Grasping Extreme Aerodynamics on a Low-Dimensional Manifold. CoRR (2023)
Kai Fukami, Koji Fukagata, Kunihiko Taira
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows. CoRR (2023)
Masaki Morimoto, Kai Fukami, Kai Zhang, Koji Fukagata
Generalization techniques of neural networks for fluid flow estimation. Neural Comput. Appl. 34 (5) (2022)
Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. Nat. Mach. Intell. 3 (11) (2021)
Kai Fukami, Kazuto Hasegawa, Taichi Nakamura, Masaki Morimoto, Koji Fukagata
Model Order Reduction with Neural Networks: Application to Laminar and Turbulent Flows. SN Comput. Sci. 2 (6) (2021)
Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata
Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression. CoRR (2021)
Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. CoRR (2021)