Laboratory for Brain and Machine Intelligence

Laboratory for Brain and Machine Intelligence @ KAIST

Laboratory for brain and machine intelligence, KAIST

 Selected publications 

(*: corresponding author, Google scholar citations)

How brains learn to predict the future:

How machines learn to predict the future:

  • Lee, J. H.+, Seymour, B.+* Leibo, J. S., An, J., Lee, S. W.*
    Towards High-Performance, Memory-Efficient, and Fast Reinforcement Learning: Lessons from Decision Neuroscience.
    Science Robotics. 4(26), eaav2975 , 2018.

  • Lee, S. W.*, Yi, T., Han, J.-S., Jung, J.-W., and Bien, Z.
    Design of a Gait Phase Recognition System that can cope with EMG Electrode Location Variation.
    IEEE Transactions on Automation Science and Engineering 14(3), 2017.

  • Lee, S. W.*, Prenzel, O., and Bien, Z.
    Applying human learning principles to user-centered IoT systems.
    IEEE Computer 46, 2013 (cover feature). (full text)

  • Lee, S. W.*, Kim, Y. S., Bien, Z.
    A non-supervised learning framework of human behavior patterns based on sequential actions.
    IEEE Transactions on Knowledge and Data Engineering 22(4), 2010. (full text)

  • Lee, S. W. and Bien, Z.
    Representation of a Fisher criterion function in a kernel feature space.
    IEEE Transactions on Neural Networks 21(2), 2010. (full text)

  • Lee, S. W., Kim, Y. S., Park, K.-H., and Bien, Z.
    Iterative Bayesian fuzzy clustering toward flexible icon-based assistive software for the disabled.
    Information Sciences 180(3), February 2010. (full text)