Luis Haug

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 10

Top Topics

Inverse Reinforcement Learning

Activity Recognition

Semantic Segmentation

Soft Constraints

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Daniel Paysan, Luis Haug, Michael Bajka, Markus Oelhafen, Joachim M. Buhmann
Self-supervised representation learning for surgical activity recognition. Int. J. Comput. Assist. Radiol. Surg. 16 (11) (2021)
Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR (2020)
Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI (2020)
Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema. CoRR (2020)
Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema. MIUA (2020)
Luis Haug, Ivan Ovinnikov, Eugene Bykovets
Inverse Reinforcement Learning via Matching of Optimality Profiles. CoRR (2020)
Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. NeurIPS (2019)
Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. CoRR (2019)
Luis Haug, Sebastian Tschiatschek, Adish Singla
Teaching Inverse Reinforcement Learners via Features and Demonstrations. CoRR (2018)
Luis Haug, Sebastian Tschiatschek, Adish Singla
Teaching Inverse Reinforcement Learners via Features and Demonstrations. NeurIPS (2018)