Publications

If you use HyperMapper in scientific publications, we would appreciate citations to the following paper:

Practical design space exploration (MASCOTS 2019) - introducing HyperMapper principles and application to hardware design space exploration:

@inproceedings{nardi2019practical,
  title={Practical design space exploration},
  author={Nardi, Luigi and Koeplinger, David and Olukotun, Kunle},
  booktitle={2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)},
  pages={347--358},
  year={2019},
  organization={IEEE}
}

Some other examples of papers about HyperMapper and its applications

• Baco: A fast and portable Bayesian compiler optimization framework (ASPLOS 2024)

@article{hellsten2022baco,
  title={Baco: A fast and portable Bayesian compiler optimization framework},
  author={Hellsten, Erik and Souza, Artur and Lenfers, Johannes and Lacouture, Rubens and Hsu, Olivia and Ejjeh, Adel and Kjolstad, Fredrik and Steuwer, Michel and Olukotun, Kunle and Nardi, Luigi},
  journal={arXiv preprint arXiv:2212.11142},
  year={2024}
}

• BeBOP - Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks (under review ICRA 2024)

@article{styrud2023bebop,
  title={BeBOP--Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks},
  author={Styrud, Jonathan and Mayr, Matthias and Hellsten, Erik and Krueger, Volker and Smith, Christian},
  journal={arXiv preprint arXiv:2310.00971},
  year={2023}
}

• Learning to Adapt the Parameters of Behavior Trees and Motion Generators to Task Variations (IROS 2024)

@article{ahmad2023learning,
  title={Learning to Adapt the Parameters of Behavior Trees and Motion Generators to Task Variations},
  author={Ahmad, Faseeh and Mayr, Matthias and Krueger, Volker},
  journal={arXiv preprint arXiv:2303.08209},
  year={2023}
}

• $\pi$ BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization - paper on HyperMapper's method for injecting user priors into Bayesian Optimization

@article{hvarfner2022pi,
  title={$$\backslash$pi $ BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization},
  author={Hvarfner, Carl and Stoll, Danny and Souza, Artur and Lindauer, Marius and Hutter, Frank and Nardi, Luigi},
  journal={ International Conference on Learning Representations, ICLR'22},
  year={2022}
}

• Skill-based multi-objective reinforcement learning of industrial robot tasks with planning and knowledge integration (ROBIO 2022)

@inproceedings{mayr2022skill,
  title={Skill-based multi-objective reinforcement learning of industrial robot tasks with planning and knowledge integration},
  author={Mayr, Matthias and Ahmad, Faseeh and Chatzilygeroudis, Konstantinos and Nardi, Luigi and Krueger, Volker},
  booktitle={2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)},
  pages={1995--2002},
  year={2022},
  organization={IEEE}
}

• Learning skill-based industrial robot tasks with user priors (CASE 2022)

@inproceedings{mayr2022learning,
  title={Learning skill-based industrial robot tasks with user priors},
  author={Mayr, Matthias and Hvarfner, Carl and Chatzilygeroudis, Konstantinos and Nardi, Luigi and Krueger, Volker},
  booktitle={2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)},
  pages={1485--1492},
  year={2022},
  organization={IEEE}
}

• Bayesian Optimization with a Prior for the Optimum - paper on HyperMapper's method for injecting user priors into Bayesian Optimization

@inproceedings{bopro2021,
title   = {Bayesian Optimization with a Prior for the Optimum},
author  = {Artur Souza and Luigi Nardi and Leonardo B. Oliveira and Kunle Olukotun and Marius Lindauer and Frank Hutter},
journal = {European Conference on Machine Learning (ECML)},
year    = {2021}
} 

• Spatial: A Language and Compiler for Application Accelerators (PLDI 2018) - conference paper on the application of HyperMapper to the Spatial programming language:

    @inproceedings{koeplinger2018spatial,
    title={Spatial: a language and compiler for application accelerators},
    author={Koeplinger, David and Feldman, Matthew and Prabhakar, Raghu and Zhang, Yaqi and Hadjis, Stefan and Fiszel, Ruben and Zhao, Tian and Nardi, Luigi and Pedram, Ardavan and Kozyrakis, Christos and others},
    booktitle={Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation},
    pages={296--311},
    year={2018},
    organization={ACM}
    }

• Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper (iWAPT 2017) - workshop on the application of HyperMapper to ElasticFusion and KinectFusion computer vision applications:

    @inproceedings{nardi2017algorithmic,
    title={Algorithmic performance-accuracy trade-off in 3D vision applications using hypermapper},
    author={Nardi, Luigi and Bodin, Bruno and Saeedi, Sajad and Vespa, Emanuele and Davison, Andrew J and Kelly, Paul HJ},
    booktitle={Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017 IEEE International},
    pages={1434--1443},
    year={2017},
    organization={IEEE}
    }

• Application-oriented design space exploration for SLAM algorithms (ICRA 2017) - conference paper on the application of HyperMapper to robotics:

    @inproceedings{saeedi2017application,
    title={Application-oriented design space exploration for SLAM algorithms},
    author={Saeedi, Sajad and Nardi, Luigi and Johns, Edward and Bodin, Bruno and Kelly, Paul HJ and Davison, Andrew J},
    booktitle={Robotics and Automation (ICRA), 2017 IEEE International Conference on},
    pages={5716--5723},
    year={2017},
    organization={IEEE}
    }

• Integrating algorithmic parameters into benchmarking and design space exploration in 3D scene understanding (PACT 2016) - conference paper applying an early version of HyperMapper to 3D computer vision:

    @inproceedings{bodin2016integrating,
    title={Integrating algorithmic parameters into benchmarking and design space exploration in 3D scene understanding},
    author={Bodin, Bruno and Nardi, Luigi and Zia, M Zeeshan and Wagstaff, Harry and Sreekar Shenoy, Govind and Emani, Murali and Mawer, John and Kotselidis, Christos and Nisbet, Andy and Lujan, Mikel and others},
    booktitle={Proceedings of the 2016 International Conference on Parallel Architectures and Compilation},
    pages={57--69},
    year={2016},
    organization={ACM}
    }