Jinyao Yan
Jinyao Yan
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
A Speiser, J Yan, E Archer, L Buesing, SC Turaga, JH Macke
arXiv preprint arXiv:1711.01846, 2017
402017
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
L Aitchison, L Russell, A Packer, J Yan, P Castonguay, M Häusser, ...
Advances in Neural Information Processing Systems 2017, 3487-3496, 2017
192017
NARMAX model identification using a set-theoretic evolutionary approach
J Yan, JR Deller Jr
Signal Processing 123, 30-41, 2016
162016
Comparative single-cell transcriptomics of complete insect nervous systems
BT Cocanougher, JD Wittenbach, XS Long, AB Kohn, TP Norekian, J Yan, ...
bioRxiv, 785931, 2020
112020
Breast cancer detection using haralick features of images reconstructed from ultra wideband microwave scans
BD Fleet, J Yan, DB Knoester, M Yao, JR Deller, ED Goodman
Workshop on Clinical Image-Based Procedures, 9-16, 2014
72014
Evolutionary identification of nonlinear parametric models with a set-theoretic fitness criterion
J Yan, JR Deller, BD Fleet, ED Goodman, M Yao
2013 IEEE China Summit and International Conference on Signal and …, 2013
72013
Evolutionary model selection for identification of nonlinear parametric systems
J Yan, JR Deller, M Yao, ED Goodman
2014 IEEE China Summit & International Conference on Signal and Information …, 2014
42014
Modified genetic crossover and mutation operators for sparse regressor selection in NARMAX brain connectivity modeling
PC Nariyoshi, JR Deller, J Yan
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 660-663, 2017
22017
Biologically-motivated system identification: Application to microbial growth modeling
J Yan, JR Deller
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
22014
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from calcium Imaging Data
DJ Im, S Prakhya, J Yan, S Turaga, K Branson
arXiv preprint arXiv:1906.03214, 2019
12019
Two Studies in Nonlinear Biological System Modeling and Identification
J Yan
Michigan State University, 2018
2018
Set-Theoretic Measures as Evolutionary Fitness Criteria in Nonlinear System Identification
J Yan, JR Deller
IFAC-PapersOnLine 48 (28), 178-183, 2015
2015
Nonlinear System Inference and Identification
J Yan
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Articles 1–13