Kunihiko Taira

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Phase autoencoder for limit-cycle oscillators.
CoRR
Koichiro Yawata, Kai Fukami, Kunihiko Taira, Hiroya Nakao
2024 J jnl
Single-snapshot machine learning for turbulence super resolution.
CoRR
Kai Fukami, Kunihiko Taira
2023 J jnl
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning.
CoRR
Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira
2023 J jnl
Grasping Extreme Aerodynamics on a Low-Dimensional Manifold.
CoRR
Kai Fukami, Kunihiko Taira
2023 J jnl
Image and video compression of fluid flow data.
CoRR
Vishal Anatharaman, Jason Feldkamp, Kai Fukami, Kunihiko Taira
2023 J jnl
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows.
CoRR
Kai Fukami, Koji Fukagata, Kunihiko Taira
2021 J jnl
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning.
CoRR
Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
2021 J jnl
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning.
Nat. Mach. Intell.
Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
2019 J jnl
Randomized methods to characterize large-scale vortical flow network.
CoRR
Zhe Bai, N. Benjamin Erichson, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira, Steven L. Brunton
2016 J jnl
A stable fluid-structure-interaction solver for low-density rigid bodies using the immersed boundary projection method.
J. Comput. Phys.
Ugis Lacis, Kunihiko Taira, Shervin Bagheri
2007 J jnl
The immersed boundary method: A projection approach.
J. Comput. Phys.
Kunihiko Taira, Tim Colonius