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Cheng Zhang
Cheng Zhang
GenAI, Meta
E-mail confirmado em meta.com - Página inicial
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Citado por
Citado por
Ano
Advances in Variational Inference
C Zhang, J Butepage, H Kjellstrom, S Mandt
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
9522018
Generalization in reinforcement learning with selective noise injection and information bottleneck
M Igl, K Ciosek, Y Li, S Tschiatschek, C Zhang, S Devlin, K Hofmann
Advances in neural information processing systems 32, 2019
2082019
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
C Ma, S Tschiatschek, K Palla, JMH Lobato, S Nowowzin, C Zhang
ICML, 2019
1582019
How Do Fair Decisions Fare in Long-term Qualification?
R Tu, X Zhang, Y Liu, H Kjellström, M Liu, K Zhang, C Zhang
Thirty-fourth Conference on Neural Information Processing Systems, 2020
103*2020
Instructions and guide for diagnostic questions: The neurips 2020 education challenge
Z Wang, A Lamb, E Saveliev, P Cameron, Y Zaykov, ...
arXiv preprint arXiv:2007.12061, 2020
1012020
Stochastic Learning on Imbalanced Data: Determinantal Point Processes for Mini-batch Diversification
C Zhang, H Kjellström, S Mandt
UAI, 2017
97*2017
A Causal View on Robustness of Neural Networks
C Zhang, K Zhang, Y Li
ICML, 2020
962020
Causal discovery in the presence of missing data
R Tu, C Zhang, P Ackermann, C Glymour, H Kjellström, K Zhang
AISTATS, 2019
932019
Deep end-to-end causal inference
T Geffner, J Antoran, A Foster, W Gong, C Ma, E Kiciman, A Sharma, ...
TMLR, 2022
872022
Vaem: a deep generative model for heterogeneous mixed type data
C Ma, S Tschiatschek, R Turner, JM Hernández-Lobato, C Zhang
Advances in Neural Information Processing Systems 33, 11237-11247, 2020
832020
A hierarchical grocery store image dataset with visual and semantic labels
M Klasson, C Zhang, H Kjellstrom
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
762019
Active Mini-Batch Sampling using Repulsive Point Processes
C Zhang, C Öztireli, S Mandt, G Salvi
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI),, 2019
572019
Understanding causality with large language models: Feasibility and opportunities
C Zhang, S Bauer, P Bennett, J Gao, W Gong, A Hilmkil, J Jennings, C Ma, ...
arXiv preprint arXiv:2304.05524, 2023
552023
Icebreaker: Element-wise efficient information acquisition with a bayesian deep latent gaussian model
W Gong, S Tschiatschek, S Nowozin, RE Turner, JM Hernández-Lobato, ...
Advances in neural information processing systems 32, 2019
552019
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
R Tu, K Zhang, BC Bertilson, H Kjellstöm, C Zhang
NeurIPS, 2019
522019
Identifiable Generative Models for Missing Not at Random Data Imputation
C Ma, C Zhang
NeurIPS, 2021
502021
Hide-and-seek privacy challenge: Synthetic data generation vs. patient re-identification
J Jordon, D Jarrett, E Saveliev, J Yoon, P Elbers, P Thoral, A Ercole, ...
NeurIPS 2020 Competition and Demonstration Track, 206-215, 2021
482021
Perturbative Black Box Variational Inference
C Zhang*, R Bamler*, M Opper, S Mandt*
NIPS, 2017
43*2017
Partial VAE for Hybrid Recommender System
C Ma, W Gong, JM Hernandez-Lobato, N Koenigstein, S Nowozin, ...
NIPS Workshop on Bayesian Deep Learning, 2018
422018
Causal-discovery performance of chatgpt in the context of neuropathic pain diagnosis
R Tu, C Ma, C Zhang
arXiv preprint arXiv:2301.13819, 2023
382023
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