Mingyuan Zhou
Mingyuan Zhou
Associate Professor, University of Texas at Austin
Verified email at - Homepage
Cited by
Cited by
Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images
M Zhou, H Chen, J Paisley, L Ren, L Li, Z Xing, D Dunson, G Sapiro, ...
IEEE Transactions on Image Processing 21 (1), 130-144, 2012
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
M Zhou, H Chen, J Paisley, L Ren, G Sapiro, L Carin
NIPS 2009, 2009
Beta-Negative Binomial Process and Poisson Factor Analysis
M Zhou, L Hannah, D Dunson, L Carin
AISTATS 2012, 2011
Negative binomial process count and mixture modeling
M Zhou, L Carin
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2), 307-320, 2015
Masking: A New Perspective of Noisy Supervision
B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama
NeurIPS 2018, 2018
Meta-Learning without Memorization
M Yin, G Tucker, M Zhou, S Levine, C Finn
ICLR 2020, 2019
Variational graph recurrent neural networks
E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ...
NeurIPS 2019, 10701-10711, 2019
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Z Wang, JJ Hunt, M Zhou
ICLR 2023, 2022
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
Diffusion-GAN: Training GANs with Diffusion
Z Wang, H Zheng, P He, W Chen, M Zhou
ICLR 2023, 2022
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction
M Zhou
AISTATS 2015, 2015
Semi-Implicit Variational Inference
M Yin, M Zhou
ICML 2018, 2018
Lognormal and Gamma Mixed Negative Binomial Regression
M Zhou, L Li, D Dunson, L Carin
ICML 2012, 2012
Semi-implicit graph variational auto-encoders
A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ...
Advances in neural information processing systems 32, 2019
Dictionary Learning for Noisy and Incomplete Hyperspectral Images
Z Xing, M Zhou, A Castrodad, G Sapiro, L Carin
SIAM Journal on Imaging Sciences 5, 33, 2012
Bayesian Graph Neural Networks with Adaptive Connection Sampling
A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ...
ICML 2020, 2020
Adversarially Adaptive Normalization for Single Domain Generalization
X Fan, Q Wang, J Ke, F Yang, B Gong, M Zhou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
H Zhang, B Chen, D Guo, M Zhou
ICLR 2018, 2018
A Bayesian nonparametric approach to image super-resolution
G Polatkan, M Zhou, L Carin, D Blei, I Daubechies
Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (2), 346-358, 2015
Augmentable gamma belief networks
M Zhou, Y Cong, B Chen
Journal of Machine Learning Research 17 (163), 1-44, 2016
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