Publications

Thesis:

C. Zhang, Structured Representation Using Latent Variable Models, PhD Thesis, 2016
[PDF]

Publications:

 R. Bamler*, C. Zhang*, M. Opper and S. Mandt, Perturbative Black Box Variational Inference
Conference on Neural Information Processing Systems  (NIPS 2017)

(*Joint first authorship; order decided by coin flip.) [pdf]

C. Zhang, H. Kjellström, and S. Mandt,  Determinantal Point Processes for Mini-batch Diversification
Uncertainty in Artificial Intelligence (UAI 2017). Plenary talk

[pdf]

C. Zhang, S. Mandt and H. Kjellström,  Balanced Population Stochastic Variational Inference,
NIPS Workshop on Advances in Approximate Bayesian Inference, 2016
[pdf]

A. Qu, C. Zhang, P. Ackermann and H. Kjellström, Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation,
NIPS Workshop on Machine Learning for Health, 2016
[pdf]

C. Zhang, H. Kjellström and B. C. Bertilson, Diagnostic Prediction Using Discomfort Drawings,
NIPS Workshop on Machine Learning for Health, 2016 (This is an extension of the MLHC conference paper)
[pdf]

C. Zhang, H. Kjellström and C.H. Ek, Inter-Battery Topic Representation Learning
European Conference on Computer Vision (ECCV), 2016

[pdf] [Supplement]

C. Zhang, H. Kjellström, C.H. Ek and B. C. Bertilson, Diagnostic Prediction Using Discomfort Drawing with IBTM
Machine Learning in Health Care Conference, 2016

[pdf]

C. Zhang, H. Kjellström and B. C. Bertilson, Diagnostic Prediction Using Discomfort Drawing with Multimodal Topic Model (This is the preliminary work of the conference paper above)
UAI workshop on Machine Leaning for Health, 2016 [Abstract]

K. Zhang, J. Karlgren, C. Zhang, J. Lagergren. Viewpoint and Topic Modeling of Current Events,2016  [arXiv]

C. Zhang, M. Gartrell, T. P. Minka, Y. Zaykov and J. Guiver, GroupBox: A generative model for group recommendation
Microsoft Research technical report; MSR-TR-2015-61

[PDF]

C. Zhang and H. Kjellström, How to Supervise Topic Models
ECCV workshop on Graphical Models in Computer Vision (ECCVws 2014, GMCV) (oral)
[PDF][Supplement][Slides]

C. Zhang, C.H. Ek, X. Gratal, F. T. Pokorny and H. Kjellström, Supervised Hierarchical Dirichlet Processes with Variational Inference
IEEE ICCV workshop on Inference for probabilistic graphical models (ICCVws 2013, Infer PGM) (oral)
[PDF] [Supplement] [Slides] [Poster]
[Code]

C. Zhang, D. Song and H. Kjellström, Contextual Modeling with Labeled Multi-LDA
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)

[PDF] [Bibtex] [Slides]

C. Zhang, C.H. Ek, A. Damianou, H. Kjellström, Factorized Topic Models.
International Conference on Learning Representations 2013, (ICLR 2013)

[PDF] [Bibtex][Poster]

C. Zhang and H. Kjellström, Multi-Class Detection and Segmentation of Objects in Depth
[PDF] [Bibtex]

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