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 | 462 | 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 | 328 | 2009 |
Beta-Negative Binomial Process and Poisson Factor Analysis M Zhou, L Hannah, D Dunson, L Carin AISTATS 2012, 2011 | 290 | 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 | 267 | 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 | 261 | 2018 |
Meta-Learning without Memorization M Yin, G Tucker, M Zhou, S Levine, C Finn ICLR 2020, 2019 | 217 | 2019 |
Variational graph recurrent neural networks E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ... NeurIPS 2019, 10701-10711, 2019 | 203 | 2019 |
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Z Wang, JJ Hunt, M Zhou ICLR 2023, 2022 | 197 | 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 | 195 | 2022 |
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction M Zhou AISTATS 2015, 2015 | 175 | 2015 |
Diffusion-GAN: Training GANs with Diffusion Z Wang, H Zheng, P He, W Chen, M Zhou ICLR 2023, 2022 | 173 | 2022 |
Semi-Implicit Variational Inference M Yin, M Zhou ICML 2018, 2018 | 160 | 2018 |
Lognormal and Gamma Mixed Negative Binomial Regression M Zhou, L Li, D Dunson, L Carin ICML 2012, 2012 | 144 | 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 | 141 | 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 | 138 | 2012 |
Bayesian Graph Neural Networks with Adaptive Connection Sampling A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ... ICML 2020, 2020 | 131 | 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 | 114 | 2021 |
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling H Zhang, B Chen, D Guo, M Zhou ICLR 2018, 2018 | 110 | 2018 |
Augmentable gamma belief networks M Zhou, Y Cong, B Chen Journal of Machine Learning Research 17 (163), 1-44, 2016 | 101* | 2016 |
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 | 101 | 2015 |