Modeling Local Field Potentials with Regularized Matrix Data Clustering. - Xu Gao; Weining Shen; Jianhua Hu; Norbert Fortin; Hernando C. Ombao (NER, 2019)

Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes. - Lingge Li; Dustin S. Pluta; Babak Shahbaba; Norbert Fortin; Hernando Ombao; Pierre Baldi (NeurIPS, 2019)

Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method. - Tian Chen; Lingge Li; Gabriel Elias; Norbert Fortin; Babak Shahbaba (CoRR, 2019)

Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels. - Guilllermo Granados-Garcia; Mark Fiecas; Babak Shahbaba; Norbert Fortin; Hernando C. Ombao (Comput. Stat. Data Anal., 2022)

Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events. - Babak Shahbaba; Lingge Li; Forest Agostinelli; Mansi Saraf; Keiland W. Cooper; Derenik Haghverdian; Gabriel A. Elias; Pierre Baldi; Norbert J. Fortin (Zenodo, 2022)

A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. - Wenzhuo Zhou; Annie Qu; Keiland W. Cooper; Norbert Fortin; Babak Shahbaba (CoRR, 2023)

Unity by Diversity: Improved Representation Learning for Multimodal VAEs. - Thomas M. Sutter; Yang Meng; Andrea Agostini; Daphné Chopard; Norbert Fortin; Julia E. Vogt; Babak Shahbaba; Stephan Mandt (NeurIPS, 2024)

Unity by Diversity: Improved Representation Learning in Multimodal VAEs. - Thomas M. Sutter; Yang Meng; Norbert Fortin; Julia E. Vogt; Stephan Mandt (CoRR, 2024)

Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data. - Yubai Yuan; Babak Shahbaba; Norbert Fortin; Keiland W. Cooper; Qing Nie; Annie Qu (CoRR, 2024)

Weakly-Supervised Multimodal Learning on MIMIC-CXR. - Andrea Agostini; Daphné Chopard; Yang Meng; Norbert Fortin; Babak Shahbaba; Stephan Mandt; Thomas M. Sutter; Julia E. Vogt (CoRR, 2024)