Publications

# denotes equal contribution.

An up-to-date list is available on Google Scholar.

Preprints

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  1. arXiv
    An optimal control approach to particle filtering
    Zhang Qinsheng, Taghvaei Amirhossein, and Chen Yongxin
    2021
  2. arXiv
    Path Integral Sampler: a stochastic control approach for sampling
    Zhang Qinsheng, and Chen Yongxin
    arXiv preprint arXiv:2111.15141 2021
  3. arXiv
    Filtering for Aggregate Hidden Markov Models with Continuous Observations
    Zhang Qinsheng, Singh Rahul, and Chen Yongxin
    arXiv: 2011.02521 2020
  4. arXiv
    Inference with aggregate data: An optimal transport approach
    Singh Rahul, Haasler Isabel, Zhang Qinsheng, Karlsson Johan, and Chen Yongxin
    arXiv: 2003.13933 2020

Journal & Conference

2021

  1. NeurIPS
    Diffusion Normalizing Flow
    Zhang Qinsheng, and Chen Yongxin
    In Advances in Neural Information Processing Systems 2021
  2. Automatica
    Learning Hidden Markov Models from Aggregate Observations
    Singh Rahul, Zhang Qinsheng, and Chen Yongxin
    Automatica 2021

2020

  1. IEEE
    Multi-marginal optimal transport and probabilistic graphical models
    Zhang Qinsheng#, Haasler Isabel#, Singh Rahul#, Karlsson Johan, and Chen Yongxin
    IEEE Transactions on Information Theory 2020
  2. L4DC
    Improving robustness via risk averse distributional reinforcement learning
    Zhang Qinsheng#, Singh Rahul#, and Chen Yongxin
    In Learning for Dynamics and Control 2020
  3. CDC
    Incremental inference of collective graphical models
    Singh Rahul, Haasler Isabel, Zhang Qinsheng, Karlsson Johan, and Chen Yongxin
    IEEE Control Systems Letters 2020