( en | de | ru )

 

Disambiguation of "Brauckmann, Alexander"

Author of the publication

copydeleteadd this publication to your clipboard
A Case Study on Machine Learning for Synthesizing Benchmarks

, , , , , and . Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, page 38–46. New York, NY, USA, Association for Computing Machinery, (2019)
DOI: 10.1145/3315508.3329976

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Barbara Brauckmann

Nicoletta Brauckmann

Heinrich Brauckmann

Rainer Brauckmann

Jürgen Brauckmann

 

Other publications of authors with the same name

Rewriting History: Repurposing Domain-Specific CGRAs., , , , , and . CoRR, (2023)A Case Study on Machine Learning for Synthesizing Benchmarks, , , , , and . Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, page 38–46. New York, NY, USA, Association for Computing Machinery, (2019)ComPy-Learn: A toolbox for exploring machine learning representations for compilers., , and . FDL, page 1-4. IEEE, (2020)A case study on machine learning for synthesizing benchmarks., , , , , and . MAPL@PLDI, page 38-46. ACM, (2019)Compiler-based graph representations for deep learning models of code., , , and . CC, page 201-211. ACM, (2020)A Reinforcement Learning Environment for Polyhedral Optimizations., , and . CoRR, (2021)mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR Using Program Synthesis., , , and . PACT, page 39-50. IEEE, (2023)PolyGym: Polyhedral Optimizations as an Environment for Reinforcement Learning., , and . PACT, page 17-29. IEEE, (2021)ExeBench: an ML-scale dataset of executable C functions., , , , and . MAPS@PLDI, page 50-59. ACM, (2022)