Paul Höft
PhD Student
About Me
I am a Ph.D. student at Linköping University, Sweden. I work at the Artificial Intelligence & Integrated Computer Systems Division (AIICS) in the Representation Learning and Planning Lab (RLPLAB). My main research interests are optimal classical planning and machine learning.
Short bio
I finished my bachelor's and master's degree at the University of Basel in 2019 and 2021 respectively and joined RLPLAB in September of 2021.
Publications
2023
David Speck, Paul Höft, Daniel Gnad and Jendrik Seipp.
Finding Matrix Multiplication Algorithms with Classical Planning - Extended Abstract.
In The 35th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS). 2023.
paper code citation (Superseded by the ICAPS 2023 paper with the same name.)David Speck, Paul Höft, Daniel Gnad and Jendrik Seipp.
Finding Matrix Multiplication Algorithms with Classical Planning.
In Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (ICAPS 2023). 2023.
paper code citation