7 citations · 7 across the 6 of their papers we have counts for
6 papers
Machine learning evaluation of structural descriptors for supercooled water
Kohei Yoshikawa, Kokoro Shikata, Kang Kim +1
The anomalous behavior of liquid water is widely associated with a liquid-liquid phase transition between high- and low-density states in the supercooled regime. At the microscopic…
Identification and Estimation under Multiple Versions of Treatment: Mixture-of-Experts Approach
Kohei Yoshikawa, Shuichi Kawano
The Stable Unit Treatment Value Assumption (SUTVA) includes the condition that there are no multiple versions of treatment in causal inference. Though we could not control the impl…
Graph neural network-based structural classification of glass-forming liquids and its interpretation via self-attention mechanism
Kohei Yoshikawa, Kentaro Yano, Shota Goto +2
Glass-forming liquids exhibit slow dynamics below their melting temperatures, maintaining an amorphous structure reminiscent of normal liquids. Distinguishing microscopic structure…
Multilinear Common Component Analysis via Kronecker Product Representation
Kohei Yoshikawa, Shuichi Kawano
We consider the problem of extracting a common structure from multiple tensor datasets. For this purpose, we propose multilinear common component analysis (MCCA) based on Kronecker…
Variable fusion for Bayesian linear regression via spike-and-slab priors
Shengyi Wu, Kaito Shimamura, Kohei Yoshikawa +2
In linear regression models, fusion of coefficients is used to identify predictors having similar relationships with a response. This is called variable fusion. This paper presents…
Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization
Kohei Yoshikawa, Shuichi Kawano
We consider the problem of constructing a reduced-rank regression model whose coefficient parameter is represented as a singular value decomposition with sparse singular vectors. T…