Hierarchical Text-Conditional Image Generation with CLIP Latents A Ramesh, P Dhariwal, A Nichol, C Chu, M Chen arXiv preprint arXiv:2204.06125, 2022 | 4325 | 2022 |
GPT-4 Technical Report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 1510* | 2023 |
CycleGAN, a master of steganography C Chu, A Zhmoginov, M Sandler arXiv preprint arXiv:1712.02950, 2017 | 229 | 2017 |
Improving image generation with better captions J Betker, G Goh, L Jing, T Brooks, J Wang, L Li, L Ouyang, J Zhuang, ... Computer Science. https://cdn. openai. com/papers/dall-e-3. pdf 2, 3, 2023 | 190 | 2023 |
Smoothness and Stability in GANs C Chu, K Minami, K Fukumizu arXiv preprint arXiv:2002.04185, 2020 | 65 | 2020 |
Asymmetric self-play for automatic goal discovery in robotic manipulation OAI OpenAI, M Plappert, R Sampedro, T Xu, I Akkaya, V Kosaraju, ... arXiv preprint arXiv:2101.04882, 2021 | 63 | 2021 |
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning C Chu, J Blanchet, P Glynn arXiv preprint arXiv:1901.10691, 2019 | 27 | 2019 |
The equivalence between Stein variational gradient descent and black-box variational inference C Chu, K Minami, K Fukumizu arXiv preprint arXiv:2004.01822, 2020 | 12 | 2020 |
The Geometry of Data: Distance on Data Manifolds C Chu | 3 | 2016 |
Inferring the Gravitational Potential of the Milky Way C Chu, Y Lithwick, F Antonini American Astronomical Society Meeting Abstracts# 227 227, 341.20, 2016 | | 2016 |
Smart Initialization Yields Better Convergence Properties in Deep Abstractive Summarization L Kinney, C Chu, M Apte | | |