Prafulla Dhariwal
Prafulla Dhariwal
Researcher, OpenAI
Verified email at - Homepage
Cited by
Cited by
Language models are few-shot learners
T Brown, B Mann, N Ryder, M Subbiah, JD Kaplan, P Dhariwal, ...
Advances in neural information processing systems 33, 1877-1901, 2020
Proximal policy optimization algorithms
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 2017
Hierarchical text-conditional image generation with clip latents
A Ramesh, P Dhariwal, A Nichol, C Chu, M Chen
arXiv preprint arXiv:2204.06125 1 (2), 3, 2022
Diffusion models beat gans on image synthesis
P Dhariwal, A Nichol
Advances in neural information processing systems 34, 8780-8794, 2021
Glow: Generative flow with invertible 1x1 convolutions
DP Kingma, P Dhariwal
Advances in neural information processing systems 31, 2018
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
A Nichol, P Dhariwal, A Ramesh, P Shyam, P Mishkin, B McGrew, ...
arXiv preprint arXiv:2112.10741, 2021
Improved denoising diffusion probabilistic models
AQ Nichol, P Dhariwal
International conference on machine learning, 8162-8171, 2021
Generative pretraining from pixels
M Chen, A Radford, R Child, J Wu, H Jun, D Luan, I Sutskever
International conference on machine learning, 1691-1703, 2020
Openai baselines
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ...
Variational lossy autoencoder
X Chen, DP Kingma, T Salimans, Y Duan, P Dhariwal, J Schulman, ...
arXiv preprint arXiv:1611.02731, 2016
Parameter space noise for exploration
M Plappert, R Houthooft, P Dhariwal, S Sidor, RY Chen, X Chen, T Asfour, ...
arXiv preprint arXiv:1706.01905, 2017
Jukebox: A generative model for music
P Dhariwal, H Jun, C Payne, JW Kim, A Radford, I Sutskever
arXiv preprint arXiv:2005.00341, 2020
Consistency models
Y Song, P Dhariwal, M Chen, I Sutskever
arXiv preprint arXiv:2303.01469, 2023
Point-e: A system for generating 3d point clouds from complex prompts
A Nichol, H Jun, P Dhariwal, P Mishkin, M Chen
arXiv preprint arXiv:2212.08751, 2022
Scaling laws for autoregressive generative modeling
T Henighan, J Kaplan, M Katz, M Chen, C Hesse, J Jackson, H Jun, ...
arXiv preprint arXiv:2010.14701, 2020
Language models are few shot learners
NRMSJ Kaplan, PDANP Shyam, GSAAS Agarwal, AHVGK Tom, ...
arXiv preprint arXiv:2005.14165 3, 2020
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), 8, 2023
Gamepad: A learning environment for theorem proving
D Huang, P Dhariwal, D Song, I Sutskever
arXiv preprint arXiv:1806.00608, 2018
Improved techniques for training consistency models
Y Song, P Dhariwal
arXiv preprint arXiv:2310.14189, 2023
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