APA (7th ed.) Citation

Lopez-Alvis, J., Laloy, E., Nguyen, F., & Hermans, T. (2021). Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder. Computers & geosciences, 152, 104762. https://doi.org/10.1016/j.cageo.2021.104762

Chicago Style (17th ed.) Citation

Lopez-Alvis, Jorge, Eric Laloy, Frédéric Nguyen, and Thomas Hermans. "Deep Generative Models in Inversion: The Impact of the Generator's Nonlinearity and Development of a New Approach Based on a Variational Autoencoder." Computers & Geosciences 152 (2021): 104762. https://doi.org/10.1016/j.cageo.2021.104762.

MLA (9th ed.) Citation

Lopez-Alvis, Jorge, et al. "Deep Generative Models in Inversion: The Impact of the Generator's Nonlinearity and Development of a New Approach Based on a Variational Autoencoder." Computers & Geosciences, vol. 152, 2021, p. 104762, https://doi.org/10.1016/j.cageo.2021.104762.