Rio Yokota

42 TFlops hierarchical <i>N</i> -body simulations on GPUs with applications in both astrophysics and turbulence

Tsuyoshi Hamada, Tetsu Narumi, Rio Yokota et al. · 2009 · 116 citations

Vortex Particles, Engineering, Gpu Benchmarking +21

Practical Deep Learning with Bayesian Principles

Kazuki Osawa, Siddharth Swaroop, Mohammad Emtiyaz Khan et al. · arXiv (Cornell University) · 2019 · 93 citations · Full text

Artificial Intelligence, Bayesian Principles, Convolutional Neural Network +15

Biomolecular electrostatics using a fast multipole BEM on up to 512 gpus and a billion unknowns

Rio Yokota, Jaydeep P. Bardhan, Matthew G. Knepley et al. · Computer Physics Communications · 2011 · 84 citations · Full text

Electrohydrodynamics, Engineering, Physics +8

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks

Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno et al. · 2019 · 82 citations

Large-scale Global Optimization, Convolutional Neural Network, Engineering +18

RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering

Shun Iwase, Xingyu Liu, Rawal Khirodkar et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 77 citations

3D Computer Vision, Convolutional Neural Network, Machine Vision +14