Towards Understanding and Improving GFlowNet Training

Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, KyungHyun Cho, Tommaso Biancalani. Towards Understanding and Improving GFlowNet Training. 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 30956-30975, PMLR, 2023. [doi]

@inproceedings{ShenBHLCB23,
  title = {Towards Understanding and Improving GFlowNet Training},
  author = {Max W. Shen and Emmanuel Bengio and Ehsan Hajiramezanali and Andreas Loukas and KyungHyun Cho and Tommaso Biancalani},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/shen23a.html},
  researchr = {https://researchr.org/publication/ShenBHLCB23},
  cites = {0},
  citedby = {0},
  pages = {30956-30975},
  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},
}