Norbert Fortin

According to our database, Norbert Fortin authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Unity by Diversity: Improved Representation Learning in Multimodal VAEs.

Thomas M. Sutter, Yang Meng, Norbert Fortin, Julia E. Vogt, Stephan Mandt

CoRR, 2024

2023

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

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

Dataset, February, 2022

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

2019

Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method.

Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba

CoRR, 2019

Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes.

Lingge Li, Dustin S. Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Modeling Local Field Potentials with Regularized Matrix Data Clustering.

Xu Gao, Weining Shen, Jianhua Hu, Norbert Fortin, Hernando C. Ombao

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019