Prafulla Dhariwal

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Image Generation

Theorem Proving

Starting Points

Top Venues

Publications

Yang Song, Prafulla Dhariwal
Improved Techniques for Training Consistency Models. ICLR (2024)
Yang Song, Prafulla Dhariwal
Improved Techniques for Training Consistency Models. CoRR (2023)
Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever
Consistency Models. CoRR (2023)
Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever
Consistency Models. ICML (2023)
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. ICML (2022)
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen
Point-E: A System for Generating 3D Point Clouds from Complex Prompts. CoRR (2022)
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
Hierarchical Text-Conditional Image Generation with CLIP Latents. CoRR (2022)
Alex Nichol, Prafulla Dhariwal
Improved Denoising Diffusion Probabilistic Models. CoRR (2021)
Alexander Quinn Nichol, Prafulla Dhariwal
Improved Denoising Diffusion Probabilistic Models. ICML (2021)
Prafulla Dhariwal, Alexander Quinn Nichol
Diffusion Models Beat GANs on Image Synthesis. NeurIPS (2021)
Prafulla Dhariwal, Alex Nichol
Diffusion Models Beat GANs on Image Synthesis. CoRR (2021)
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. CoRR (2021)
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared 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 M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei
Language Models are Few-Shot Learners. NeurIPS (2020)
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared 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 M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei
Language Models are Few-Shot Learners. CoRR (2020)
Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish
Scaling Laws for Autoregressive Generative Modeling. CoRR (2020)
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever
Jukebox: A Generative Model for Music. CoRR (2020)
Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever
GamePad: A Learning Environment for Theorem Proving. ICLR (Poster) (2019)
Diederik P. Kingma, Prafulla Dhariwal
Glow: Generative Flow with Invertible 1x1 Convolutions. NeurIPS (2018)
Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever
GamePad: A Learning Environment for Theorem Proving. CoRR (2018)
Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz
Parameter Space Noise for Exploration. ICLR (Poster) (2018)
Diederik P. Kingma, Prafulla Dhariwal
Glow: Generative Flow with Invertible 1x1 Convolutions. CoRR (2018)
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
Variational Lossy Autoencoder. ICLR (Poster) (2017)
Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz
Parameter Space Noise for Exploration. CoRR (2017)
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov
Proximal Policy Optimization Algorithms. CoRR (2017)
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
Variational Lossy Autoencoder. CoRR (2016)