Norbert Fortin

According to our database, Norbert Fortin authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding.

Ziyi Liang, Hamed Poursiami, Zhishun Yang, Keiland W. Cooper, Akhilesh Jaiswal, Maryam Parsa, Norbert Fortin, Babak Shahbaba

CoRR, February, 2026

Heterogeneous Graph Alignment for Joint Reasoning and Interpretability.

Zahra Moslemi, Ziyi Liang, Norbert Fortin, Babak Shahbaba

CoRR, January, 2026

2025

Methods for Brain Connectivity Analysis with Applications to Rat Local Field Potential Recordings.

Anass B. El-Yaagoubi, Sipan Aslan, Farah Gomawi, Paolo V. Redondo, Sarbojit Roy, Malik Shahid Sultan, Mara S. Talento, Francine T. Tarrazona, Haibo Wu, Keiland W. Cooper, Norbert J. Fortin, Hernando Ombao

Entropy, 2025

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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