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Mudassar Abbas, MSc. (Tech)

Doctoral Student in the Deep Learning & Bayesian Modeling, and Complex Systems research groups


My current research focus is on deep learning, especially, unsupervised/semi-supervised learning. Recently, I have been working on Ladder networks and adversarial training. I have a Master's degree with distiction in Machine Learning and Data Mining from Aalto University, School of Science.

Room T3175 in TUAS Building,
Maarintie 8, Otaniemi campus area, Espoo

Postal Address:
Dept. of Computer Science,
School of Science, Aalto University
P.O. Box 15400, FI-00076 Aalto, Finland


  1. M. Abbas, A. Ilin, A. Solonen, J. Hakkarainen, E. Oja, H. Järvinen. Empirical evaluation of Bayesian optimization in parametric tuning of chaotic systems. International Journal for Uncertainty Quantification, 6(6):467-485, 2016. doi:10.1615/Int.J.UncertaintyQuantification.2016016645, Preprint.
  1. M. Abbas, J .Kivinen, T. Raiko. Understanding regularization by virtual adversarial training, ladder networks and others. International Conference on Learning Representations (ICLR) Workshop track, 2016. PDF.
  1. M. Abbas, A. Ilin, A. Solonen, J. Hakkarainen, E. Oja, H. Järvinen. Bayesian optimization for tuning chaotic systems. Nonlinear Processes in Geophysics Discussions, 1(2):1283-1312, 2014. doi:10.5194/npgd-1-1283-2014, PDF.
  1. A. Solonen, J. Hakkarainen, A.Ilin, M. Abbas, A. Bibov. Estimating model error covariance matrix parameters in extended kalman filtering. Nonlinear Processes in Geophysics, 21(5):919-927, 2014. doi:10.5194/npg-21-919-2014, PDF.
  1. Y. Mehmood, M. Abbas, Xi. Chen, Timo Honkela. Self-organizing maps of nutrition, lifestyle and health situation in the world. In Advances in Self-Organizing Maps - Proceedings of WSOM 2011, 8th Int. Workshop, pages 160-167, 2011. Springer, PDF.

Master's Thesis

  1. Mudassar Abbas. Statistical Estimation of Wild Animal Population in Finland: A Multiple Target Tracking Approach. Aalto University, 2011. PDF.

Teaching Assistant

CS course: T-61.5130 Machine Learning and Neural Networks