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Mingyuan Zhou
Mingyuan Zhou
Associate Professor, University of Texas at Austin
E-mailová adresa ověřena na: mccombs.utexas.edu - Domovská stránka
Název
Citace
Citace
Rok
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
4752012
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Z Wang, JJ Hunt, M Zhou
ICLR 2023, 2022
3522022
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
342*2022
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
M Zhou, H Chen, J Paisley, L Ren, G Sapiro, L Carin
NIPS 2009, 2009
3402009
Masking: A New Perspective of Noisy Supervision
B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama
NeurIPS 2018, 2018
2972018
Beta-Negative Binomial Process and Poisson Factor Analysis
M Zhou, L Hannah, D Dunson, L Carin
AISTATS 2012, 2011
2972011
Negative binomial process count and mixture modeling
M Zhou, L Carin
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2), 307-320, 2015
2802015
Diffusion-GAN: Training GANs with Diffusion
Z Wang, H Zheng, P He, W Chen, M Zhou
ICLR 2023, 2022
2712022
Meta-Learning without Memorization
M Yin, G Tucker, M Zhou, S Levine, C Finn
ICLR 2020, 2019
2442019
Variational graph recurrent neural networks
E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ...
NeurIPS 2019, 10701-10711, 2019
2432019
Patch diffusion: Faster and more data-efficient training of diffusion models
Z Wang, Y Jiang, H Zheng, P Wang, P He, Z Wang, W Chen, M Zhou
Advances in Neural Information Processing Systems 36, 2023
2192023
Semi-Implicit Variational Inference
M Yin, M Zhou
ICML 2018, 2018
1792018
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction
M Zhou
AISTATS 2015, 2015
1782015
Semi-implicit graph variational auto-encoders
A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ...
Advances in neural information processing systems 32, 2019
1672019
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
1552021
Lognormal and Gamma Mixed Negative Binomial Regression
M Zhou, L Li, D Dunson, L Carin
ICML 2012, 2012
1542012
Bayesian Graph Neural Networks with Adaptive Connection Sampling
A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ...
ICML 2020, 2020
1522020
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
1422012
Card: Classification and regression diffusion models
X Han, H Zheng, M Zhou
Advances in Neural Information Processing Systems 35, 18100-18115, 2022
1292022
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
H Zhang, B Chen, D Guo, M Zhou
ICLR 2018, 2018
1262018
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Články 1–20