Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer. Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 30458-30490, PMLR, 2023. [doi]

@inproceedings{SeidlVHK23,
  title = {Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language},
  author = {Philipp Seidl and Andreu Vall and Sepp Hochreiter and Günter Klambauer},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/seidl23a.html},
  researchr = {https://researchr.org/publication/SeidlVHK23},
  cites = {0},
  citedby = {0},
  pages = {30458-30490},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}