Non-Gaussian methods and high-pass filters in the estimation of effective connections. - Joseph D. Ramsey; Ruben Sanchez-Romero; Clark Glymour (NeuroImage, 2014)

Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. - Biwei Huang; Kun Zhang 001; Jiji Zhang; Ruben Sanchez-Romero; Clark Glymour; Bernhard Schölkopf (ICDM, 2017)

A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images. - Joseph D. Ramsey; Madelyn Glymour; Ruben Sanchez-Romero; Clark Glymour (Int. J. Data Sci. Anal., 2017)

Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data. - Biwei Huang; Kun Zhang 001; Ruben Sanchez-Romero; Joseph D. Ramsey; Madelyn Glymour; Clark Glymour (CoRR, 2019)

Identification of Effective Connectivity Subregions. - Ruben Sanchez-Romero; Joseph D. Ramsey; Kun Zhang 001; Clark Glymour (CoRR, 2019)

Causal Discovery from Heterogeneous/Nonstationary Data. - Biwei Huang; Kun Zhang 001; Jiji Zhang; Joseph D. Ramsey; Ruben Sanchez-Romero; Clark Glymour; Bernhard Schölkopf (J. Mach. Learn. Res., 2020)

Combining Multiple Functional Connectivity Methods to Improve Causal Inferences. - Ruben Sanchez-Romero; Michael W. Cole (J. Cogn. Neurosci., 2021)

Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees. - Bryan Andrews; Joseph D. Ramsey; Ruben Sanchez-Romero; Jazmin Camchong; Erich Kummerfeld (NeurIPS, 2023)

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations. - Ruben Sanchez-Romero; Takuya Ito; Ravi D. Mill; Stephen José Hanson; Michael W. Cole (NeuroImage, 2023)

Distributed network flows generate localized category selectivity in human visual cortex. - Carrisa Cocuzza; Ruben Sanchez-Romero; Takuya Ito; Ravi D. Mill; Brian P. Keane; Michael W. Cole (PLoS Comput. Biol., 2024)