1. Adlam, B., Weill, C., Kapoor, A., 2019. Investigating under and overfitting in Wasserstein Generative Adversarial Networks. In ICML Understanding and Improving Generalization in Deep Learning Workshop (2019). arXiv 1910.14137v1.
2. Encoding of phonology in a recurrent neural model of grounded speech;Alishahi,2017
3. Wasserstein Generative Adversarial Networks;Arjovsky,2017
4. Fitting linear mixed-effects models using lme4;Bates;J. Stat. Softw.,2015
5. Becker, M., Levine, J., 2013. Experigen – an online experiment platform. http://becker.phonologist.org/experigen.