Masaki Adachi

According to our database, Masaki Adachi authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Demonstrating Linked Battery Data To Accelerate Knowledge Flow in Battery Science.

Philipp Dechent, Elias Barbers, Simon Clark, Susanne Lehner, Brady Planden, Masaki Adachi, David A. Howey, Sabine Paarmann

CoRR, 2024

Principled Bayesian Optimisation in Collaboration with Human Experts.

Wenjie Xu, Masaki Adachi, Colin N. Jones, Michael A. Osborne

CoRR, 2024

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal.

Juliusz Ziomek, Masaki Adachi, Michael A. Osborne

CoRR, 2024

A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting.

Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Saad Hamid, Harald Oberhauser, Michael A. Osborne

CoRR, 2024

Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type.

Juliusz Ziomek, Masaki Adachi, Michael A. Osborne

CoRR, 2024

Looping in the Human: Collaborative and Explainable Bayesian Optimization.

Masaki Adachi, Brady Planden, David A. Howey, Michael A. Osborne, Sebastian Orbell, Natalia Ares, Krikamol Muandet, Siu Lun Chau

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach.

Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Looping in the Human: Collaborative and Explainable Bayesian Optimization.

Masaki Adachi, Brady Planden, David A. Howey, Krikamol Muandet, Michael A. Osborne, Siu Lun Chau

CoRR, 2023

Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature.

Masaki Adachi, Satoshi Hayakawa, Xingchen Wan, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne

CoRR, 2023

Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra.

Joachim Schaeffer, Paul Gasper, Esteban García Tamayo, Raymond Gasper, Masaki Adachi, Juan Pablo Gaviria-Cardona, Simon Montoya-Bedoya, Anoushka Bhutani, Andrew Schiek, Rhys Goodall, Rolf Findeisen, Richard D. Braatz, Simon Engelke

CoRR, 2023

SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints.

Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne

CoRR, 2023

2022

Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature.

Masaki Adachi, Yannick Kuhn, Birger Horstmann, Michael A. Osborne, David A. Howey

CoRR, 2022

Longitudinal association between addictive internet use and depression in early adolescents over a 2-year period: A study using a random intercept cross-lagged model.

Michio Takahashi, Masaki Adachi, Tomoya Hirota, Tomoko Nishimura, Hiroki Shinkawa, Hiroyuki Mori, Kazuhiko Nakamura

Comput. Hum. Behav., 2022

Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination.

Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022