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Variational Lossy Autoencoder.
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel: Variational Lossy Autoencoder. CoRR abs/1611.02731 (2016)
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Proximal Policy Optimization Algorithms.
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov: Proximal Policy Optimization Algorithms. CoRR abs/1707.06347 (2017)
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Parameter Space Noise for Exploration.
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...
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Variational Lossy Autoencoder.
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel: Variational Lossy Autoencoder. ICLR (Poster) 2017
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Glow: Generative Flow with Invertible 1x1 Convolutions.
Diederik P. Kingma, Prafulla Dhariwal: Glow: Generative Flow with Invertible 1x1 Convolutions. CoRR abs/1807.03039 (2018)
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GamePad: A Learning Environment for Theorem Proving.
Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever: GamePad: A Learning Environment for Theorem Proving. CoRR abs/1806.00608 (2018)
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Glow: Generative Flow with Invertible 1x1 Convolutions.
Diederik P. Kingma, Prafulla Dhariwal: Glow: Generative Flow with Invertible 1x1 Convolutions. NeurIPS 2018: 10236-10245
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Parameter Space Noise for Exploration.
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
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GamePad: A Learning Environment for Theorem Proving.
Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever: GamePad: A Learning Environment for Theorem Proving. ICLR (Poster) 2019
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Scaling Laws for Autoregressive Generative Modeling.
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,...
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Language Models are Few-Shot Learners.
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...
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Jukebox: A Generative Model for Music.
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever: Jukebox: A Generative Model for Music. CoRR abs/2005.00341 (2020)
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Language Models are Few-Shot Learners.
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...
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided...
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...
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Diffusion Models Beat GANs on Image Synthesis.
Prafulla Dhariwal, Alex Nichol: Diffusion Models Beat GANs on Image Synthesis. CoRR abs/2105.05233 (2021)
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Improved Denoising Diffusion Probabilistic Models.
Alex Nichol, Prafulla Dhariwal: Improved Denoising Diffusion Probabilistic Models. CoRR abs/2102.09672 (2021)
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Diffusion Models Beat GANs on Image Synthesis.
Prafulla Dhariwal, Alexander Quinn Nichol: Diffusion Models Beat GANs on Image Synthesis. NeurIPS 2021: 8780-8794
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Improved Denoising Diffusion Probabilistic Models.
Alexander Quinn Nichol, Prafulla Dhariwal: Improved Denoising Diffusion Probabilistic Models. ICML 2021: 8162-8171
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Point-E: A System for Generating 3D Point Clouds from Complex Prompts.
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen: Point-E: A System for Generating 3D Point Clouds from Complex Prompts. CoRR abs/2212.08751 (2022)
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Hierarchical Text-Conditional Image Generation with CLIP Latents.
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen: Hierarchical Text-Conditional Image Generation with CLIP Latents. CoRR abs/2204.06125 (2022)
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided...
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...
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Improved Techniques for Training Consistency Models.
Yang Song, Prafulla Dhariwal: Improved Techniques for Training Consistency Models. CoRR abs/2310.14189 (2023)
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Consistency Models.
Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever: Consistency Models. CoRR abs/2303.01469 (2023)
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Consistency Models.
Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever: Consistency Models. ICML 2023: 32211-32252
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