Papers

Preprints in progress

Sambit Panda, Cencheng Shen, Ronan Perry, Jelle Zorn, Antoine Lutz, Carey E. Priebe, and Joshua T. Vogelstein. Nonparametric MANOVA via Independence Testing. arXiv e-prints, art. arXiv:1910.08883, Dec 2020. (link)

Ronan Perry, Tyler M. Tomita, Jesse Patsolic, Benjamin Falk, and Joshua T. Vogelstein. Manifold Forests: Closing the Gap on Neural Networks. arXiv e-prints, art. arXiv:1909.11799, Sep 2019. (arXiv)

Publications

Ronan Perry, Gavin Mischler, Richard Guo, Theodore Lee, Alexander Chang, Arman Koul, Cameron Franz, Hugo Richard, Iain Carmichael, Pierre Ablin, Alexandre Gramfort, and Joshua T. Vogelstein. mvlearn: Multiview Machine Learning in Python. Journal of Machine Learning Research, 22(109), 2021. (JMLR, arXiv)

Conference Abstracts

Ronan Perry, L. Daumail, J. Zorn, D. S. Margulies, J. T. Vogelstein, and A. Lutz. Permutation-corrected independence testing for high-dimensional fMRI data. Presented at the Neuromatch 3.0 Conference, Oct. 2020.

Ronan Perry, L. Daumail, J. Zorn, D. S. Margulies, J. T. Vogelstein, and A. Lutz. Identifying Differences Between Expert and Novice Meditator Brain Scans via Multiview Embedding. In: Organization for Human Brain Mapping, June 2020. (poster)

Master’s Thesis

Ronan Perry. Manifold-aware Forests: Closing the Gap to Convolutional Neural Networks. Johns Hopkins University, Baltimore, MD, 2020. (JHU Library)