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Hierarchical Text-Conditional Image Generation with CLIP Latents


Apr 13, 2022
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen

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Asymmetric self-play for automatic goal discovery in robotic manipulation


Jan 13, 2021
OpenAI OpenAI, Matthias Plappert, Raul Sampedro, Tao Xu, Ilge Akkaya, Vineet Kosaraju, Peter Welinder, Ruben D'Sa, Arthur Petron, Henrique Ponde de Oliveira Pinto, Alex Paino, Hyeonwoo Noh, Lilian Weng, Qiming Yuan, Casey Chu, Wojciech Zaremba

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* Videos are shown at https://robotics-self-play.github.io 

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The equivalence between Stein variational gradient descent and black-box variational inference


Apr 04, 2020
Casey Chu, Kentaro Minami, Kenji Fukumizu

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* ICLR 2020, Workshop on Integration of Deep Neural Models and Differential Equations 

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Smoothness and Stability in GANs


Feb 11, 2020
Casey Chu, Kentaro Minami, Kenji Fukumizu

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* ICLR 2020 

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Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning


Jan 30, 2019
Casey Chu, Jose Blanchet, Peter Glynn

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CycleGAN, a Master of Steganography


Dec 16, 2017
Casey Chu, Andrey Zhmoginov, Mark Sandler

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* NIPS 2017, workshop on Machine Deception 

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