I am a second year PhD student at the Robotics, Perception and Learning Lab, CSC, at KTH in Stockholm, Sweden. My research focuses on representation and interpretation of sensorimotor signals in human-robot interaction.
In more detail, I am interested in how low-level action-perception loops can give rise to high-level social cognition, see the EU project socSMCs (social Sensorimotor Contingencies).
As my background merges cognitive science, mathematics and computer science, my goal is to apply advanced machine learning algorithms and statistical inference in order to gain a better understanding of the underlying communication processes.
A (not up-to-date CV) can be found here.
Nov. 2017: Gave a 1 hour presentation for the algorithms team at Tobii.
Nov. 2017: Gave a 30 min talk about Human-Robot Interaction at Internetdagarna, Internet Days.
Jul. - Oct. 2017: Interning at Disney Research as part of the statistical machine learning group under the supervision of Cheng Zhang, Leonid Sigal and Stephan Mandt.
May 2017: Hold a 1-day Machine Learning Workshop @ PinkProgramming for 40 women. Pictures can be found here.
Apr. 2017: Gave a talk at Bayes@Lund about modelling uncertainty in robotic applications. See here for the recording.
Apr. 2017: Second round of the "Hur tänker en robot" - workshop at the Tekla festival.
Feb. 2017: Invited to a panel talk about the life as a female PhD student at the Equality week.
Apr. - Jul. 2016: Internship at the Max Planck Institute for Intelligent Systems.
Apr. 2016: Coorganized the "Hur tänker en robot" - workshop (How does a robot think - workshop) at the Tekla festival.
Apr. 2016: I defended my master thesis.
Dec. 2015: Supervised to students from the International English school in Täby for a week. They learned basic programming skills.
Zhang, C., Bütepage, J. Kjellström, H. & Mandt, S. (2017), Advances in Variational Inference.
Bütepage, J. & Kragic, D. (2017), Human-Robot Collaboration: From Psychology to Social Robotics.
Bütepage, J., Kjellström, H. & Kragic, D. (2017), Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration.
Bütepage, J., Black, M., Kragic, D., & Kjellström, H. (2017), Deep representation learning for human motion prediction and classification.
Vesper, C., Abramova E., Bütepage, J., et al. (2016), Joint Action: Mental Representations, Shared Information and General Mechanisms for Coordinating with Others., Frontiers in Psychology (7) 2016
Ghadirzadeh, A., Bütepage, J., Maki. A., Kragic, D., & Björkman, M. (2016), A sensorimotor reinforcement learning framework for physical Human-Robot Interaction., IROS 2016
Ghadirzadeh, A., Bütepage, J., Kragic, D., & Björkman, M. (2016), Self-learning and adaptation in a sensorimotor framework., ICRA 2016
Bütepage, J., Kjellström, H. & Kragic, D.(2016), Social Affordance Tracking over Time - A Sensorimotor Account of False-Belief Tasks., CogSci 2016
Ongoing since Autumn 2015 Machine Learning Reading Group (PhD)
Autumn 2017: TA in Machine Learning Advanced (Msc)
Autumn 2016: TA in Computer Vision and Image Analysis (Msc)
Autumn 2016: TA in Artificial Intelligence (Msc)
Autumn 2016: TA in Machine Learning Advanced (Msc)
Autumn 2015: TA in Artificial Intelligence (Msc)
Autumn 2015: TA in Machine Learning Advanced (Msc)
Spring 2016: TA in Search Engines and Information Retrieval Systems (Msc)