Yoshihiro Osakabe

Orcid: 0000-0001-7217-6097

According to our database1, Yoshihiro Osakabe authored at least 10 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2023
Proposing Novel Extrapolative Compounds by Nested Variational Autoencoders.
CoRR, 2023

2022
Proposing Novel High-Performance Compounds by Nested VAEs Trained Independently on Different Datasets.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

QUBO-inspired Molecular Fingerprint for Chemical Property Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

Interactive Support System for Idea Divergence-Convergence Iteration.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Learning Rule for a Quantum Neural Network Inspired by Hebbian Learning.
IEICE Trans. Inf. Syst., 2021

MatVAE: Independently Trained Nested Variational Autoencoder for Generating Chemical Structural Formula.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020
Hitachi Materials Informatics Analytics Platform Assisting Rapid Development.
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

2017
Quantum Associative Memory with Quantum Neural Network via Adiabatic Hamiltonian Evolution.
IEICE Trans. Inf. Syst., 2017

Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017


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