AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires

Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds. AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. In Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga, Serene Yeung, editors, Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA. Volume 219 of Proceedings of Machine Learning Research, pages 588-611, PMLR, 2023. [doi]

@inproceedings{PradierPCGIWEZH23,
  title = {AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires},
  author = {Melanie F. Pradier and Niranjani Prasad and Paidamoyo Chapfuwa and Sahra Ghalebikesabi and Maximilian Ilse and Steven Woodhouse and Rebecca Elyanow and Javier Zazo and Javier González Hernández and Julia Greissl and Edward Meeds},
  year = {2023},
  url = {https://proceedings.mlr.press/v219/pradier23a.html},
  researchr = {https://researchr.org/publication/PradierPCGIWEZH23},
  cites = {0},
  citedby = {0},
  pages = {588-611},
  booktitle = {Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA},
  editor = {Kaivalya Deshpande and Madalina Fiterau and Shalmali Joshi and Zachary C. Lipton and Rajesh Ranganath and Iñigo Urteaga and Serene Yeung},
  volume = {219},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}