Unsupervised Training for 3D Morphable Model Regression. - Kyle Genova; Forrester Cole; Aaron Maschinot; Aaron Sarna; Daniel Vlasic; William T. Freeman (CVPR, 2018)

Boundless: Generative Adversarial Networks for Image Extension. - Dilip Krishnan; Piotr Teterwak; Aaron Sarna; Aaron Maschinot; Ce Liu 001; David Belanger 002; William T. Freeman (ICCV, 2019)

Supervised Contrastive Learning. - Prannay Khosla; Piotr Teterwak; Chen Wang 050; Aaron Sarna; Yonglong Tian; Phillip Isola; Aaron Maschinot; Ce Liu 001; Dilip Krishnan (NeurIPS, 2020)

Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions. - Andrea Burns; Aaron Sarna; Dilip Krishnan; Aaron Maschinot (CoRR, 2021)

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. - Shlok Mishra; Joshua Robinson 001; Huiwen Chang; David Jacobs 001; Aaron Sarna; Aaron Maschinot; Dilip Krishnan (CoRR, 2022)

Muse: Text-To-Image Generation via Masked Generative Transformers. - Huiwen Chang; Han Zhang 010; Jarred Barber; Aaron Maschinot; José Lezama; Lu Jiang 004; Ming-Hsuan Yang 001; Kevin Patrick Murphy; William T. Freeman; Michael Rubinstein; Yuanzhen Li; Dilip Krishnan (ICML, 2023)