5 citations · 6 across the 3 of their papers we have counts for
3 papers
math.NA2024
Fast and Numerically Stable Implementation of Rate Constant Matrix Contraction Method
Shinichi Hemmi, Satoru Iwata, Taihei Oki
The rate constant matrix contraction (RCMC) method, proposed by Sumiya et al. (2015, 2017), enables fast and numerically stable simulations of chemical kinetics on large-scale reac…
math.NA2023★ 5 cited
Rate Constant Matrix Contraction Method for Stiff Master Equations with Detailed Balance
Satoru Iwata, Taihei Oki, Shinsaku Sakaue
This paper considers master equations for Markovian kinetic schemes that possess the detailed balance property. Chemical kinetics, as a prime example, often yields large-scale, hig…
cs.DS2022★ 1 cited
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Shinichi Hemmi, Taihei Oki, Shinsaku Sakaue +2
The maximum a posteriori (MAP) inference for determinantal point processes (DPPs) is crucial for selecting diverse items in many machine learning applications. Although DPP MAP inf…