Learning Structured Neural Dynamics From Single Trial Population Recording. - Josue Nassar; Scott W. Linderman; Yuan Zhao 004; Mónica F. Bugallo; Il Memming Park (ACSSC, 2018)

Improved Adaptive Importance Sampling Based on Variational Inference. - Matthew Dowling; Josue Nassar; Petar M. Djuric; Mónica F. Bugallo (EUSIPCO, 2018)

Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. - Josue Nassar; Scott W. Linderman; Mónica F. Bugallo; Il Memming Park (ICLR (Poster), 2019)

On 1/n neural representation and robustness. - Josue Nassar; Piotr A. Sokól; SueYeon Chung; Kenneth D. Harris; Il Memming Park (NeurIPS, 2020)

BAM: Bayes with Adaptive Memory. - Josue Nassar; Jennifer Rogers Brennan; Ben Evans; Kendall Lowrey (ICLR, 2022)

Representational Dissimilarity Metric Spaces for Stochastic Neural Networks. - Lyndon R. Duong; Jingyang Zhou; Josue Nassar; Jules Berman; Jeroen Olieslagers; Alex H. Williams (ICLR, 2023)

Streaming Variational Monte Carlo. - Yuan Zhao 004; Josue Nassar; Ian D. Jordan; Mónica F. Bugallo; Il Memming Park (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments. - Ayesha Vermani; Matthew Dowling; Hyungju Jeon; Ian D. Jordan; Josue Nassar; Yves Bernaerts; Yuan Zhao 004; Steven Van Vaerenbergh; Il Memming Park (EUSIPCO, 2024)

Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data. - Ayesha Vermani; Il Memming Park; Josue Nassar (ICLR, 2024)

Meta-Dynamical State Space Models for Integrative Neural Data Analysis. - Ayesha Vermani; Josue Nassar; Hyungju Jeon; Matthew Dowling; Il Memming Park (ICLR, 2025)