Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker 0001, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, SeyedRamin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang 0002, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton. Applications and Techniques for Fast Machine Learning in Science. Frontiers Big Data, 5:787421, 2022. [doi]

@article{DeianaTABGDHHLN22,
  title = {Applications and Techniques for Fast Machine Learning in Science},
  author = {Allison McCarn Deiana and Nhan Tran and Joshua Agar and Michaela Blott and Giuseppe Di Guglielmo and Javier M. Duarte and Philip C. Harris and Scott Hauck and Mia Liu and Mark S. Neubauer and Jennifer Ngadiuba and Seda Ogrenci Memik and Maurizio Pierini and Thea Aarrestad and Steffen Bähr and Jürgen Becker 0001 and Anne-Sophie Berthold and Richard J. Bonventre and Tomas E. Muller Bravo and Markus Diefenthaler and Zhen Dong and Nick Fritzsche and Amir Gholami and Ekaterina Govorkova and Dongning Guo and Kyle J. Hazelwood and Christian Herwig and Babar Khan and Sehoon Kim and Thomas Klijnsma and Yaling Liu and Kin Ho Lo and Tri Nguyen and Gianantonio Pezzullo and SeyedRamin Rasoulinezhad and Ryan A. Rivera and Kate Scholberg and Justin Selig and Sougata Sen and Dmitri Strukov and William Tang 0002 and Savannah Thais and Kai Lukas Unger and Ricardo Vilalta and Belinavon Krosigk and Shen Wang and Thomas K. Warburton},
  year = {2022},
  doi = {10.3389/fdata.2022.787421},
  url = {https://doi.org/10.3389/fdata.2022.787421},
  researchr = {https://researchr.org/publication/DeianaTABGDHHLN22},
  cites = {0},
  citedby = {0},
  journal = {Frontiers Big Data},
  volume = {5},
  pages = {787421},
}