Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval

Pascal Notin, Mafalda Dias, Jonathan Frazer, Javier Marchena-Hurtado, Aidan N. Gomez, Debora S. Marks, Yarin Gal. Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 16990-17017, PMLR, 2022. [doi]

@inproceedings{NotinDFMGMG22,
  title = {Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval},
  author = {Pascal Notin and Mafalda Dias and Jonathan Frazer and Javier Marchena-Hurtado and Aidan N. Gomez and Debora S. Marks and Yarin Gal},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/notin22a.html},
  researchr = {https://researchr.org/publication/NotinDFMGMG22},
  cites = {0},
  citedby = {0},
  pages = {16990-17017},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}