Dhariwal, Prafulla

10 publications

ICLR 2024 Improved Techniques for Training Consistency Models Yang Song, Prafulla Dhariwal

ICML 2023 Consistency Models Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever

ICML 2022 GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob Mcgrew, Ilya Sutskever, Mark Chen

NeurIPS 2021 Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal, Alexander Nichol

ICML 2021 Improved Denoising Diffusion Probabilistic Models Alexander Quinn Nichol, Prafulla Dhariwal

NeurIPS 2020 Language Models Are Few-Shot Learners Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei

ICLR 2019 GamePad: A Learning Environment for Theorem Proving Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever

NeurIPS 2018 Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma, Prafulla Dhariwal

ICLR 2018 Parameter Space Noise for Exploration Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz

ICLR 2017 Variational Lossy Autoencoder Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel