Machine learning for cardiac ultrasound time series data. - Baichuan Yuan; Sathya R. Chitturi; Geoffrey Iyer; Nuoyu Li; Xiaochuan Xu; Ruohan Zhan; Rafael Llerena; Jesse T. Yen; Andrea L. Bertozzi (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Perspective: new insights from loss function landscapes of neural networks. - Sathya R. Chitturi; Philipp C. Verpoort; Alpha A. Lee; David J. Wales (Mach. Learn. Sci. Technol., 2020)

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. - Hongwei Chen; Sathya R. Chitturi; Rajan Plumley; Lingjia Shen; Nathan C. Drucker; Nicolas Burdet; Cheng Peng 012; Sougata Mardanya; Daniel Ratner; Aashwin Mishra; Chun Hong Yoon; Sanghoon Song; et al. (XLOOP@SC, 2022)

Capturing dynamical correlations using implicit neural representations. - Sathya R. Chitturi; Zhurun Ji; Alexander Petsch; Cheng Peng 012; Zhantao Chen; Rajan Plumley; Mike Dunne; Sougata Mardanya; Sugata Chowdhury; Hongwei Chen; Arun Bansil; Adrian E. Feiguin; et al. (CoRR, 2023)

Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics. - Zhantao Chen; Cheng Peng 012; Alexander N. Petsch; Sathya R. Chitturi; Alana Okullo; Sugata Chowdhury; Chun Hong Yoon; Joshua J. Turner (CoRR, 2023)

Bayesian experimental design and parameter estimation for ultrafast spin dynamics. - Zhantao Chen; Cheng Peng 012; Alexander N. Petsch; Sathya R. Chitturi; Alana Okullo; Sugata Chowdhury; Chun Hong Yoon; Joshua J. Turner (Mach. Learn. Sci. Technol., 2023)