APA (7th ed.) Citation

Kim, J. Z., Perrin-Gilbert, N., Narmanli, E., Klein, P., Myers, C. R., Cohen, I., . . . Sethna, J. P. (2024). $Γ$-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data.

Chicago Style (17th ed.) Citation

Kim, Jason Z., Nicolas Perrin-Gilbert, Erkan Narmanli, Paul Klein, Christopher R. Myers, Itai Cohen, Joshua J. Waterfall, and James P. Sethna. $Γ$-VAE: Curvature Regularized Variational Autoencoders for Uncovering Emergent Low Dimensional Geometric Structure in High Dimensional Data. 2024.

MLA (9th ed.) Citation

Kim, Jason Z., et al. $Γ$-VAE: Curvature Regularized Variational Autoencoders for Uncovering Emergent Low Dimensional Geometric Structure in High Dimensional Data. 2024.