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Publication search results
found 25 matches
- 2024
- Yang Song, Prafulla Dhariwal:
Improved Techniques for Training Consistency Models. ICLR 2024 - 2023
- Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever:
Consistency Models. ICML 2023: 32211-32252 - Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever:
Consistency Models. CoRR abs/2303.01469 (2023) - Yang Song, Prafulla Dhariwal:
Improved Techniques for Training Consistency Models. CoRR abs/2310.14189 (2023) - 2022
- 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: 16784-16804 - Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen:
Hierarchical Text-Conditional Image Generation with CLIP Latents. CoRR abs/2204.06125 (2022) - 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) - 2021
- Alexander Quinn Nichol, Prafulla Dhariwal:
Improved Denoising Diffusion Probabilistic Models. ICML 2021: 8162-8171 - Prafulla Dhariwal, Alexander Quinn Nichol:
Diffusion Models Beat GANs on Image Synthesis. NeurIPS 2021: 8780-8794 - Alex Nichol, Prafulla Dhariwal:
Improved Denoising Diffusion Probabilistic Models. CoRR abs/2102.09672 (2021) - Prafulla Dhariwal, Alex Nichol:
Diffusion Models Beat GANs on Image Synthesis. CoRR abs/2105.05233 (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 abs/2112.10741 (2021) - 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. NeurIPS 2020 - Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever:
Jukebox: A Generative Model for Music. CoRR abs/2005.00341 (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 abs/2005.14165 (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 abs/2010.14701 (2020) - 2019
- Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. ICLR (Poster) 2019 - 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. NeurIPS 2018: 10236-10245 - Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. CoRR abs/1806.00608 (2018) - Diederik P. Kingma, Prafulla Dhariwal:
Glow: Generative Flow with Invertible 1x1 Convolutions. CoRR abs/1807.03039 (2018) - 2017
- 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 abs/1706.01905 (2017) - John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov:
Proximal Policy Optimization Algorithms. CoRR abs/1707.06347 (2017) - 2016
- 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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