Constraint-Based Visual Generation

Novák, V.: First-order fuzzy logic. Studia Logica 46

1987

Earlier work this paper cites.

Hajek, P.: The Metamathematics of Fuzzy Logic. Kluwer (1998)

1998

Earlier work this paper cites.

Richardson, M., Domingos, P.: Markov logic networks. Machine learning 62

2006

Earlier work this paper cites.

Diligenti, M., Gori, M., Maggini, M., Rigutini, L.: Bridging logic and kernel machines. Machine learning 86

2012

Earlier work this paper cites.

Kimmig, A., Bach, S., Broecheler, M., Huang, B., Getoor, L.: A short introduction to probabilistic soft logic. In: Proceedings of the NIPS Workshop on Probabilistic Programming: Foundations and Applications. pp. 1–4 (2012)

2012

Earlier work this paper cites.

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Advances in neural information processing systems. pp. 2672–2680 (2014)

2014

Earlier work this paper cites.

Bach, S.H., Broecheler, M., Huang, B., Getoor, L.: Hinge-loss markov random fields and probabilistic soft logic. arXiv preprint arXiv:1505.04406 (2015)

Original

2015

Earlier work this paper cites.

Diligenti, M., Gori, M., Saccà, C.: Semantic-based regularization for learning and inference. Artificial Intelligence (2015)

2015

Earlier work this paper cites.

Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild. In: Proceedings of International Conference on Computer Vision (ICCV) (December 2015)

2015

Cited alongside, same era.

Rocktäschel, T., Singh, S., Riedel, S.: Injecting logical background knowledge into embeddings for relation extraction. In: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 1119–1129 (2015)

2015

Cited alongside, same era.

Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., et al.: Tensorflow: A system for large-scale machine learning. In: OSDI. vol. 16, pp. 265–283 (2016)

2016

Cited alongside, same era.

Cohen, W.W.: Tensorlog: A differentiable deductive database. arXiv preprint arXiv:1605.06523 (2016)

Original

2016

Cited alongside, same era.

Serafini, L., Garcez, A.S.d.: Learning and reasoning with logic tensor networks. In: AI* IA. pp. 334–348 (2016)

2016

Later among the works it cites.

Li, C., Liu, H., Chen, C., Pu, Y., Chen, L., Henao, R., Carin, L.: Alice: Towards understanding adversarial learning for joint distribution matching. In: Advances in Neural Information Processing Systems. pp. 5501–5509 (2017)

2017

Later among the works it cites.

Liu, M.Y., Breuel, T., Kautz, J.: Unsupervised image-to-image translation networks. In: Advances in Neural Information Processing Systems. pp. 700–708 (2017)

2017

Later among the works it cites.

Minervini, P., Demeester, T., Rocktäschel, T., Riedel, S.: Adversarial sets for regularising neural link predictors. arXiv preprint arXiv:1707.07596 (2017)

Original

2017

Later among the works it cites.

Rosca, M., Lakshminarayanan, B., Warde-Farley, D., Mohamed, S.: Variational approaches for auto-encoding generative adversarial networks. arXiv preprint arXiv:1706.04987 (2017)