Manifold Forests: Closing the Gap on Neural Networks. - Ronan Perry; Tyler M. Tomita; Jesse Patsolic; Benjamin Falk; Joshua T. Vogelstein (CoRR, 2019)

mvlearn: Multiview Machine Learning in Python. - Ronan Perry; Gavin Mischler; Richard Guo; Theo Lee; Alexander Chang; Arman Koul; Cameron Franz; Joshua T. Vogelstein (CoRR, 2020)

mvlearn: Multiview Machine Learning in Python. - Ronan Perry; Gavin Mischler; Richard Guo; Theo Lee; Alexander Chang; Arman Koul; Cameron Franz; Hugo Richard; Iain Carmichael; Pierre Ablin; Alexandre Gramfort; Joshua T. Vogelstein (J. Mach. Learn. Res., 2021)

Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis. - Ronan Perry; Julius von Kügelgen; Bernhard Schölkopf (NeurIPS, 2022)

Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks. - Adam Li; Ronan Perry; Chester Huynh; Tyler M. Tomita; Ronak Mehta; Jesús Arroyo 001; Jesse Patsolic; Benjamin Falk; Sridevi V. Sarma; Joshua T. Vogelstein (SIAM J. Math. Data Sci., 2023)