Miller, Michael I.

9 publications

CoLLAs 2023 Prospective Learning: Principled Extrapolation to the Future Ashwin De Silva, Rahul Ramesh, Lyle Ungar, Marshall Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu Timothy Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein

CVPRW 2021 Multi Scale Diffeomorphic Metric Mapping of Spatial Transcriptomics Datasets Michael I. Miller, Jean Fan, Daniel Jacob Tward

CVPRW 2020 Coarse-to-Fine Hamiltonian Dynamics of Hierarchical Flows in Computational Anatomy Michael I. Miller, Daniel Jacob Tward, Alain Trouvé

CVPRW 2020 Infinitesimal Drift Diffeomorphometry Models for Population Shape Analysis Brian C. Lee, Daniel Jacob Tward, Zhiyi Hu, Alain Trouvé, Michael I. Miller

CVPRW 2006 Diffeomorphic Matching of Diffusion Tensor Images Yan Cao, Michael I. Miller, Susumu Mori, Raimond L. Winslow, Laurent Younes

CVPR 2005 Computational Anatomy for Generating 3D Avatars and Boosting Face Recognition Systems Marc Vaillant, G. Zang, J. Aliperti, N. Santhanam, S. Doucette, B. Hoffman, Michael I. Miller

CVPRW 2005 Computational Anatomy for Generating 3D Avatars and Boosting Face Recognition Systems Marc Vaillant, G. Zang, J. Aliperti, N. Santhanam, S. Doucette, B. Hoffman, Michael I. Miller

ICCV 2005 Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations Yan Cao, Michael I. Miller, Raimond L. Winslow, Laurent Younes

NeurIPS 1989 Bayesian Inference of Regular Grammar and Markov Source Models Kurt R. Smith, Michael I. Miller