1. Baker, B., Gupta, O., Naik, N., Raskar, R.: Designing neural network architectures using reinforcement learning. In: ICLR (2017)
2. Bein, W.W., Brucker, P., Tamir, A.: Minimum cost flow algorithms for series-parallel networks. Discrete Appl. Math. 10, 117–124 (1985)
3. Bender, G., Kindermans, P., Zoph, B., Vasudevan, V., Le, Q.V.: Understanding and simplifying one-shot architecture search. In: ICML (2018)
4. Bengio, E., Jain, M., Korablyov, M., Precup, D., Bengio, Y.: Flow network based generative models for non-iterative diverse candidate generation. In: NeurIPS (2021)
5. Bengio, Y., Deleu, T., Hu, E.J., Lahlou, S., Tiwari, M., Bengio, E.: GFlowNet foundations. arXiv preprint arXiv:2111.09266 (2021)