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Josue Nassar
Josue Nassar
Optum AI
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Title
Cited by
Cited by
Year
Tree-structured recurrent switching linear dynamical systems for multi-scale modeling
J Nassar, SW Linderman, M Bugallo, IM Park
arXiv preprint arXiv:1811.12386, 2018
732018
On 1/n neural representation and robustness
J Nassar, P Sokol, SY Chung, KD Harris, IM Park
Advances in Neural Information Processing Systems 33, 6211-6222, 2020
282020
Streaming variational monte carlo
Y Zhao, J Nassar, I Jordan, M Bugallo, IM Park
IEEE transactions on pattern analysis and machine intelligence 45 (1), 1150-1161, 2022
182022
Representational dissimilarity metric spaces for stochastic neural networks
LR Duong, J Zhou, J Nassar, J Berman, J Olieslagers, AH Williams
arXiv preprint arXiv:2211.11665, 2022
142022
Improved adaptive importance sampling based on variational inference
M Dowling, J Nassar, PM Djurić, MF Bugallo
2018 26th European Signal Processing Conference (EUSIPCO), 1632-1636, 2018
72018
BAM: Bayes with adaptive memory
J Nassar, J Brennan, B Evans, K Lowrey
arXiv preprint arXiv:2202.02405, 2022
22022
Learning structured neural dynamics from single trial population recording
J Nassar, SW Linderman, Y Zhao, M Bugallo, IM Park
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 666-670, 2018
22018
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
A Vermani, IM Park, J Nassar
The Twelfth International Conference on Learning Representations, 2023
2023
Bayesian Machine Learning for Analyzing and Controlling Neural Populations
J Nassar
State University of New York at Stony Brook, 2022
2022
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