7 citations · 14 across the 4 of their papers we have counts for
4 papers
Black-box optimization using factorization and Ising machines
Ryo Tamura, Yuya Seki, Yuki Minamoto +4
Black-box optimization (BBO) is used in materials design, drug discovery, and hyperparameter tuning in machine learning. The world is experiencing several of these problems. In thi…
A black-box optimization method with polynomial-based kernels and quadratic-optimization annealing
Yuki Minamoto, Yuya Sakamoto
We introduce kernel-QA, a black-box optimization (BBO) method that constructs surrogate models analytically using low-order polynomial kernels within a quadratic unconstrained bina…
Deep Neural Networks to Correct Sub-Precision Errors in CFD
Akash Haridas, Nagabhushana Rao Vadlamani, Yuki Minamoto
Information loss in numerical physics simulations can arise from various sources when solving discretized partial differential equations. In particular, errors related to numerical…
Neural network-based modelling of unresolved stresses in a turbulent reacting flow with mean shear
Zacharias M. Nikolaou, Charalambos Chrysostomou, Yuki Minamoto +1
Data-driven methods for modelling purposes in fluid mechanics are a promising alternative given the continuous increase of both computational power and data-storage capabilities. H…