Search Results for author: Akinori Asahara

Found 4 papers, 0 papers with code

QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting

no code implementations17 Mar 2023 Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara

This paper proposes an extension of regression trees by quadratic unconstrained binary optimization (QUBO).

regression

QUBO-inspired Molecular Fingerprint for Chemical Property Prediction

no code implementations17 Mar 2023 Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara

We generate new fingerprints based on the assumption that a performance of prediction using a more effective fingerprint is better.

Property Prediction

Proposing Novel Extrapolative Compounds by Nested Variational Autoencoders

no code implementations6 Feb 2023 Yoshihiro Osakabe, Akinori Asahara

To generate high performance compounds beyond the range of the training data, the authors also proposed a loss function that amplifies the correlation between a component of latent variables of the inner VAE and material properties.

Accelerating small-angle scattering experiments with simulation-based machine learning

no code implementations24 Aug 2019 Takuya Kanazawa, Akinori Asahara, Hidekazu Morita

Making material experiments more efficient is a high priority for materials scientists who seek to discover new materials with desirable properties.

BIG-bench Machine Learning

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