Dr Marc Deisenroth

Research Fellow

Address
Department of Computing
Imperial College London
Room 304A (Huxley Building)
180 Queen's Gate
London SW7 2AZ
UK
Phone
+44 (0) 20 7594 8234
Email
m.deisenroth@imperial.ac.uk
LinkedIn
http://www.linkedin.com/pub/marc-deisenroth/83/740/91b

Marc joined the Department of Computing as a Research Fellow in September 2013. From December 2011 to August 2013 he has been a Senior Research Scientist & Group Leader (Learning for Control) at TU Darmstadt (Germany). Marc is still adjunct researcher at TU Darmstadt. From February 2010 to December 2011, Marc has been a full-time Research Associate at the University of Washington (Seattle). Marc completed his PhD at the Karlsruhe Institute for Technology (Germany). Marc conducted his PhD research at the Max Planck Institute for Biological Cybernetics (2006–2007) and at the University of Cambridge (2007–2009).

Marc’s research interests center around methodologies from modern Bayesian machine learning and their application  autonomous control and robotic systems. Marc’s goal is to increase the level of autonomy in current robotic and control systems by modeling and accounting for uncertainty in a principled way. Potential applications include intelligent prostheses, autonomous robots, and healthcare assistants.

Marc’s Google Scholar Citations

 

Key Publications

  1. Gaussian Processes for Data-Efficient Learning in Robotics and Control, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
  2. Robust Filtering and Smoothing with Gaussian Processes, IEEE Transactions on Automatic Control, 2012
  3. Expectation Propagation in Gaussian Process Dynamical Systems, NIPS, 2012
  4. Gaussian Process Dynamic Programming, Neurocomputing, 2009
  5. A General Perspective on Gaussian Filtering and Smoothing, ACC, 2011
  6. A Survey on Policy Search for Robotics, NOW Publishers, 2013
  7. Probabilistic Movement Modeling for Intention-based Decision Making, International Journal of Robotics Research, 2013

 

Student Supervision

A summary can be found here.

 

Prizes and Awards

Imperial College Junior Research Fellowship Award (2014)
NIPS-2013 Best Reviewer Award

 

Outreach and Public Understanding of Science

Imperial College Science Festival (2014)
University of Washington Industrial Affiliates (2010, 2011)

Intel Labs Open House (2010). Check out the Seattle Times video and the article in the Puget Sound Business Journal.

 

Keynotes and Plenary Talks

Highlights Talk at AISTATS, Iceland, 2014
Machine Learning Summer School on Big Data, Tunisia, 2013

 

Service to the Research Community

Conference Organization

2013: Workshops Chair of the Robotics: Science & Systems Conference (RSS)

2013: Co-Organizer of the International Symposium on Adaptive Motion of Animals and Machines (AMAM)

2012: Program Chair of the European Workshop on Reinforcement Learning (EWRL)

 

Workshop Organization

2013:  NIPS workshop on Advances in Machine Learning for Sensorimotor Control

2009: NIPS workshop on Probabilistic Approaches for Robotics and Control

 

Area Chair and Associate Editor

2014: ICRA

2013: ACML

Program Committee Memberships

2014: AAAI

2013: ADPRL, IJCAI, RSS

2012: ACML, ECML/PKDD, ICPRAM, RSS

2011: RSS

2010: AAAI, RSS

Reviewing

2014:  AISTATS, ICML, MLJ, NIPS, RAS

2013: ICRA, IROS, KI Magazine, MLJ, NIPS, Springer

2012: AISTATS, Humanoids, ICML, IEEE-TPAMI, NIPS, Springer

2011: CDC, ECC, ICML, ICRA, IROS, MLJ, NIPS

2010: ACC, AISTATS,  IJRR

2009: AURO,  CDC, ICML, ICRA, SCI,  IEEE-TPAMI

2008: Adaptive Behavior, IPSN, NIPS, RO-MAN

2007: IEE Electronic Letters

 

I also frequently review grant proposals for various societies.

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