CycleGAN, a Master of Steganography. - Casey Chu; Andrey Zhmoginov; Mark Sandler 002 (CoRR, 2017)

Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning. - Casey Chu; Jose H. Blanchet; Peter W. Glynn (ICML, 2019)

Smoothness and Stability in GANs. - Casey Chu; Kentaro Minami; Kenji Fukumizu (ICLR, 2020)

The equivalence between Stein variational gradient descent and black-box variational inference. - Casey Chu; Kentaro Minami; Kenji Fukumizu (CoRR, 2020)

Asymmetric self-play for automatic goal discovery in robotic manipulation. - OpenAI; Matthias Plappert; Raul Sampedro; Tao Xu; Ilge Akkaya; Vineet Kosaraju; Peter Welinder; Ruben D'Sa; Arthur Petron; Henrique Pondé de Oliveira Pinto; Alex Paino; Hyeonwoo Noh; et al. (CoRR, 2021)

Hierarchical Text-Conditional Image Generation with CLIP Latents. - Aditya Ramesh; Prafulla Dhariwal; Alex Nichol; Casey Chu; Mark Chen 003 (CoRR, 2022)

GPT-4o System Card. - Aaron Hurst; Adam Lerer; Adam P. Goucher; Adam Perelman; Aditya Ramesh; Aidan Clark; AJ Ostrow; Akila Welihinda; Alan Hayes; Alec Radford; Aleksander Madry; Alex Baker-Whitcomb; et al. (CoRR, 2024)