yermekkapushev

Yermek Kapushev

PhD student

Professor: Evgeny Burnaev

Graduated from: Moscow Institute of Physics and Technology

Research interests: Machine Learning, Deep Learning, Bayesian Methods, MCMC, GP, Bayesian Optimization

Thesis title: Gaussian Process Regression for Large-Scale Problems and Structured Data Sets

Publications: 

  • Munkhoeva, M., Kapushev, Y., Burnaev, E., & Oseledets, I. (2018). Quadrature-based features for kernel approximation, Advances in Neural Information Processing Systems (NIPS), 9147-9156.
  • Notchenko, A., Kapushev, Y., & Burnaev, E. (July, 2017). Large-scale shape retrieval with sparse 3D convolutional neural networks. In International Conference on Analysis of Images, Social Networks and Texts (pp. 245-254). Springer, Cham.

Model based predictive control and recommendations for carge vessels

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