​オックスフォード大学の機械学習PhD学生のブログ

Peer-reviewed conference publication (6 first author papers, 1 co-author paper, 2 under review) 

• M. Adachi*, S. Hayakawa*, M. Jørgensen, H. Oberhauser, M.A. Osborne (2022). "Fast Bayesian inference with batch Bayesian quadrature via kernel recombination", Advances in Neural Information Processing Systems (NeurIPS) 35, 16533 - 16547. *: equal contribution, acceptance rate 25.6%
  [Paper] [arXiv] [OpenReview] [GitHub] [Video]

• M. Adachi, S. Hayakawa, M. Jørgensen, X. Wan, H. Oberhauser, M.A. Osborne (2023). "Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach", Artificial Intelligence and Statistics (AISTATS) 27 ​[arXiv][GitHub], acceptance rate 27.6%

• M. Adachi, B. Planden, D.A. Howey, Mi.A. Osborne, S. Orbell, N. Ares, K. Muandet, S.L.Chau (2023). "​Looping in the Human: Collaborative and Explainable Bayesian Optimization", Artificial Intelligence and Statistics (AISTATS) 27 ​[arXiv][GitHub], acceptance rate 27.6%

• M. Adachi, Y. Kuhn, B. Horstmann, A. Latz, M. A. Osborne, D. A. Howey (2023). "Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature", The 22nd World Congress of the International Federation of Automatic Control (IFAC), 
  [Journal (Open access)][arXiv] [GitHub]

• J. Ziomek, M. Adachi, M.A. Osborne, "Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type", [arXiv]

• M. Adachi, S. Hayakawa, S. Hamid, M. Jørgensen, H. Oberhauser, M.A. Osborne (2023). "SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces", [arXiv] [GitHub]

• M. Adachi (2021). High-Dimensional Discrete Bayesian Optimization with Self-Supervised Representation Learning for Data-Efficient Materials Exploration, 35th International Conference on Neural Information Processing Systems (NeurIPS) Workshop; AI for Science: Mind the Gaps (Poster)
  [OpenReview] [GitHub]

• M. Adachi (2021). Mixture-of-Experts Ensemble with Hierarchical Deep Metric Learning for Spectroscopic Identification, 35th International Conference on Neural Information Processing Systems (NeurIPS) Workshop; Machine Learning and the Physical Science (Poster).
  [Paper] [GitHub]

• M. Adachi, I. Budvytis, C. Ducati, R. Cipolla (2020). Physics-Aware Image-to-Image Translation to Explore Long-Life Solid-State Batteries, 34th International Conference on Neural Information Processing Systems (NeurIPS) Workshop; Machine Learning and the Physical Science (Poster).
  [Paper]

• M. Adachi, H. Yamahara, M. Seki, H. Matsui, H. Tabata (2014), Terahertz magnonics using ultrathin films of samarium ferrite garnet, 39th IEEE International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz) (Oral).
  [Paper]

• Y. Ohki, M. Adachi, M. Komatsu, M. Mizuno, K. Fukunaga (2013), Detection of polymer degradation and metal corrosion by terahertz imaging using a quantum cascade laser and a THz camera, 13th IEEE International Conference on Solid Dielectrics (ICSD) (Oral).
  [Paper]

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​Peer-reviewed journal articles (4 first author papers, 5 co-author papers)​

• J. Schaeffer, P. Gasper, E. G. Tamayo, R. Gasper, M. Adachi, J. P. G. Cardona, S. M. Bedoya, A. Bhutani, A. Schiek, R. Goodall, R. Findeisen, R. D. Braatz, S. Engelke, (2023) "Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra." Journal of Electrochemical Society, 170, 060512
  [Journal (Open access)] [arXiv] [GitHub]

• H. Yamahara, B. Feng, M. Seki, M. Adachi, et al., (2021). Flexoelectric Nanodomains in Rare-Earth Iron Garnet Thin Films under Strain Gradient, Communications Materials 2, 95
  [Paper]

• W. Xiaohan, J. Billaud, I. Jerjen, F. Marone, Y. Ishihara, M. Adachi, Y. Adachi, C. Villevieille, Y. Kato (2019). Operando Visualization of Morphological Dynamics in All-Solid-State Batteries, Advanced Energy Materials 9, 1901547
  [Paper] [ChemRxiv]

• M. Adachi., M. Seki, H. Yamahara, H. Nasu, H. Tabata. (2015). Long-term potentiation of magnonic synapses by photocontrolled spin current mimicked in reentrant spin-glass garnet ferrite Lu3Fe5-2xCoxSixO12 thin films. Applied Physics Express 8,4, 043002-1-4.
  [Paper]

• M. Adachi., H. Matsui, M. Seki, H. Yamahara, H. Tabata. (2015). High-temperature terahertz absorption band in rare-earth gallium garnet. Physical Review B 91, 085118.
  [Paper]

• H. Yamahara, M. Seki, M, Adachi, M. Takahashi, H. Nasu, K. Horiba, H. Kumigashira, H. Tabata. (2015). Spin-glass behaviors in carrier polarity controlled Fe3-xTixO4 semiconductor thin films. Applied Physics 118, 6, 063905
  [Paper]

• M. Adachi., H. Yamahara, S. Kawabe, H. Matsui, H. Tabata. (2014). Strong optical reflection of rare-earth garnets in the terahertz regime by reststrahlen bands. Physical Review B 89, 205124.
  [Paper]

• M. Seki, M. Takahashi, M, Adachi, H. Yamahara, H. Tabata. (2014). Fabrication and characterization of wüstite-based epitaxial thin films: p-type wide-gap oxide semiconductors composed of abundant elements. Applied Physics Letters 105, 112105
  [Pape]

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Conference Presentations

• Oral Talks (4 international and 7 domestic conference)

• Posters Presentation (3 international and 1 domestic conference)