Artificial Intelligence and Machine Learning in Physical Sciences

INVITED · MAR-G01 · ID: 4005742

Presentations

  • ORAL · Invited

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    Publication: Koji Inui and Yukitoshi Motome, "Inverse Hamiltonian design by automatic differentiation", Commun. Phys. 6, 37 (2023)
    Koji Inui and Yukitoshi Motome, "Inverse Hamiltonian design of highly entangled quantum systems", Phys. Rev. Research 6, 033080 (2024)
    Yuta Hirasaki, Koji Inui, and Eiji Saitoh, "Inverse magnetoconductance design by automatic differentiation", Phys. Rev. B 110, 214201 (2024)
    Kohei Ishii, Hisazumi Akai, Tetsuya Fukushima, Hikari Shinya, and Koji Inui, in preparation

    Presenters

    • Koji Inui

      • The University of Tokyo

    Authors

    • Koji Inui

      • The University of Tokyo

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  • ORAL · Invited

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    Publication: 1. Yang Zhong, Hongyu Yu, Mao Su, Xingao Gong, and Hongjun Xiang*, arXiv:2210.16190 [npj Computational Materials 9, 182 (2023)].
    2. Yang Zhong, Shixu Liu, Binhua Zhang, Zhiguo Tao, Yuting Sun, Weibin Chu, Xin-Gao Gong, Ji-Hui Yang*, and Hongjun Xiang*, arXiv:2302.00439 [Nat. Comput. Sci. 4, 615 (2024)].
    3. Yang Zhong, Hongyu Yu, Jihui Yang, Xingyu Guo, Hongjun Xiang*, and Xingao Gong, arXiv:2402.09251 [Chinese Phys. Lett. 41, 077103 (2024)].
    4. Changwei Zhang, Yang Zhong, Zhi-Guo Tao, Xinming Qin, Honghui Shang, Zhenggang Lan, Oleg V. Prezhdo, Xin-Gao Gong, Weibin Chu*, and Hongjun Xiang*, Nature Communications 16, 2033 (2025).
    5. Hongyu Yu, Shihan Deng, Haiyan Zhu, Muting Xie, Yuwen Zhang, Xizhi Shi, Jianxin Zhong, Chaoyu He*, and Hongjun Xiang*, Phys. Rev. Lett. 135, 156801 (2025).
    6. Haiyan Zhu, Hongyu Yu, W. Zhu, G. Yu, Changsong Xu*, and Hongjun Xiang*, arXiv:2507.13709 [Phys. Rev. Lett. in press].
    7. Yang Zhong, Rui Wang, Xingao Gong, and Hongjun Xiang*, arXiv:2504.19586.
    8. Zaizhou Xin, Yang Zhong*, Xingao Gong, and Hongjun Xiang*, arXiv:2501.01863.

    Presenters

    • Hongjun Xiang

      • Fudan Univ

    Authors

    • Hongjun Xiang

      • Fudan Univ

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  • ORAL · Invited

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    Publication: Schuetz Ann-Kathrin, Poon Alan W. P., Li Aobo. RESuM: Rare Event Surrogate Model for Physics Detector Design. ICLR 2025 Spotlight; 2024 October; c2024.
    Fry J. T., Fu Xinyi Hope, Fu Zhenghao, Pappas Kaliroe M. W., Winslow Lindley, Li Aobo; TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising. NeurIPS 2025 Dataset & Benchmarking Track Spotlight; 2024 June.

    Presenters

    • Aobo Li

      • University of California, San Diego

    Authors

    • Aobo Li

      • University of California, San Diego

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  • ORAL · Invited

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    Publication: A-K. Schuetz, Alexander Migala, Adam Boesky, A. W. P. Poon, Floor S. Broekgaarden, and A. Li, RESOLVE: Rare Event Surrogate Likelihood for Gravitational Wave Paleontology Parameter Estimation, arxiv:2506.00757, May 2025
    A-K. Schuetz, A. W. P. Poon, and A. Li, RESuM: Rare Event Surrogate Model for Physics Detector Design, published at ICLR 2025.

    Presenters

    • Ann-Kathrin Schuetz

      • Lawrence Berkeley National Laboratory

    Authors

    • Ann-Kathrin Schuetz

      • Lawrence Berkeley National Laboratory

    • Alexander Christian Migala

      • University of California, San Diego

    • Adam Pearce Boesky

      • Harvard University

    • Alan WP Poon

      • Lawrence Berkeley National Laboratory

    • Floor Suzan Broekgaarden

      • Harvard - Smithsonian Center for Astrophysics

    • Aobo Li

      • University of California, San Diego

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