Aaron Maschinot

According to our database, Aaron Maschinot authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Muse: Text-To-Image Generation via Masked Generative Transformers.

Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan

Proceedings of the International Conference on Machine Learning, 2023

2022

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations.

Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan

CoRR, 2022

2021

Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions.

Andrea Burns, Aaron Sarna, Dilip Krishnan, Aaron Maschinot

CoRR, 2021

2020

Supervised Contrastive Learning.

Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Boundless: Generative Adversarial Networks for Image Extension.

Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Unsupervised Training for 3D Morphable Model Regression.

Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018