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  1. Grounded representations through deep variational inference and dynam…

    Olier, J. S., Barakova, E., Rauterberg, M., Marcenaro, L., & Regazzoni, C. (2018). Grounded representations through deep variational inference and dynamic programming. In 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017
  2. Active estimation of motivational spots for modeling dynamic interact…

    Olier, J. S., Campo, D. A., Marcenaro, L., Barakova, E., Rauterberg, M., & Regazzoni, C. (2017). Active estimation of motivational spots for modeling dynamic interactions. In 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
  3. Dynamic representations for autonomous driving

    Olier, J. S., Marin-Plaza, P., Martin, D., Marcenaro, L., Barakova, E., Rauterberg, M., & Regazzoni, C. (2017). Dynamic representations for autonomous driving. In 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
  4. Re-framing the characteristics of concepts and their relation to lear…

    Olier, J. S., Barakova, E., Regazzoni, C., & Rauterberg, M. (2017). Re-framing the characteristics of concepts and their relation to learning and cognition in artificial agents. Cognitive Systems Research.
  5. Convolutional neural networks for detecting and mapping crowds in fir…

    Olier, J. S., Regazzoni, C., Marcenaro, L., & Rauterberg, M. (2015). Convolutional neural networks for detecting and mapping crowds in first person vision applications.

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