I have graduated and and now a post-doctoral researcher at Bosch Centre for Artificial Intelligence.

Andreas Look

Research Interests

Machine Learning, Numerics, Bayesian Statistics

Affiliations

  1. Bosch Centre for Artificial Intelligence
  2. TU Darmstadt, Intelligent Autonomous Systems, Computer Science Department

Contact

andreas.look@robot-learning.de
Robert Bosch GmbH, Robert-Bosch-Campus 1, 71272 Renningen
+49-6151-16-25374

Andreas Look joined the Intelligent Autonomous Systems Group as an external Ph.D. student in cooperation with the Bosch Center for Artificial Intelligence in November 2019. In his Ph.D. research, he is working on modeling stochastic dynamics with applications for autonomous driving.

Prior to this, Andreas worked as a research assistant at the Institute of Fluid Mechanics and Hydraulic Machinery in Stuttgart. There he investigated methods for connecting computational fluid mechanics with machine learning. Andreas received his Master degree in Power Engineering from the Friedrich-Alexander-Universität Erlangen-Nürnberg.

Publications

  •     Bib
    Look, A.; Rakitsch, B.; Kandemir, M.; Peters, J. (submitted). Sampling-Free Probabilistic Deep State-Space Models, Submitted to Transactions on Pattern Analysis and Machine Intelligence (PAMI).
  •     Bib
    Look, A.; Kandemir, M.; Rakitsch, B.; Peters, J. (2023). A Deterministic Approximation to Neural SDEs, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 45, 4, pp.4023-4037.
  •     Bib
    Look, A.; Kandemir, M.; Rakitsch, B.; Peters, J. (2023). Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems, Transactions on Machine Learning Research (TMLR).
  •   Bib
    Look, A.; Kandemir, M. (2019). Differential Bayesian Neural Nets, NeurIPS Bayesian Workshop.