Follow
Alexander Brauckmann
Alexander Brauckmann
Verified email at ed.ac.uk
Title
Cited by
Cited by
Year
Compiler-based graph representations for deep learning models of code
A Brauckmann, A Goens, S Ertel, J Castrillon
Proceedings of the 29th International Conference on Compiler Construction …, 2020
382020
A case study on machine learning for synthesizing benchmarks
A Goens, A Brauckmann, S Ertel, C Cummins, H Leather, J Castrillon
Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine …, 2019
62019
PolyGym: Polyhedral Optimizations as an Environment for Reinforcement Learning
A Brauckmann, A Goens, J Castrillon
2021 30th International Conference on Parallel Architectures and Compilation …, 2021
5*2021
ComPy-Learn: A toolbox for exploring machine learning representations for compilers
A Brauckmann, A Goens, J Castrillon
2020 Forum for Specification and Design Languages (FDL), 1-4, 2020
12020
Investigating Input Representations and Representation Models of Source Code for Machine Learning
A Brauckmann
TU Dresden, Faculty of Computer Science, 2020
12020
ExeBench: an ML-scale dataset of executable C functions
J Armengol-Estapé, J Woodruff, A Brauckmann, JWS Magalhães, ...
Proceedings of the 6th ACM SIGPLAN International Symposium on Machine …, 2022
2022
2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT)| 978-1-6654-4278-7/21/$31.00© 2021 IEEE| DOI: 10.1109/PACT52795. 2021.00033
B Akin, C Angermueller, D Baek, W Baek, CR Banbury, Y Bao, A Basu, ...
The system can't perform the operation now. Try again later.
Articles 1–7