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Submission: On May 24 via api from US — Scanned from DE
Effective URL: https://prafulladhariwal.com/
Submission: On May 24 via api from US — Scanned from DE
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Prafulla Dhariwal Publications Media I’m a research scientist at OpenAI working on generative models and unsupervised learning. Previously, I was an undergrad at MIT studying computers, math and physics. I’m from Pune and currently live in San Francisco. My name sounds like truffle, but with a P. PUBLICATIONS GENERATIVE MODELS Improved techniques for training consistency models [Paper] Yang Song, Prafulla Dhariwal DALL·E 3: Improving image generation with better captions [Paper] [Blog] James Betker*, Gabriel Goh*, Li Jing*, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, Wesam Manassra, Prafulla Dhariwal, Casey Chu, Yunxin Jiao, Aditya Ramesh Consistency Models [Paper] [Code] Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever Point·E: A System for Generating 3D Point Clouds from Complex Prompts [Paper] [Code] Alex Nichol*, Heewoo Jun*, Prafulla Dhariwal, Pamela Mishkin, Mark Chen DALL·E 2: Hierarchical Text-Conditional Image Generation with CLIP Latents [Paper] [Blog] Aditya Ramesh*, Prafulla Dhariwal*, Alex Nichol*, Casey Chu*, Mark Chen GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models [Paper] [Code] Alex Nichol*, Prafulla Dhariwal*, Aditya Ramesh*, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen Diffusion Models Beat GANs on Image Synthesis [Paper] [Code] Prafulla Dhariwal*, Alex Nichol* Neural Information Processing Systems (NeurIPS), 2021 Improved Denoising Diffusion Probabilistic Models [Paper] [Code] Alex Nichol*, Prafulla Dhariwal* International Conference on Machine Learning (ICML), 2021 Jukebox: A Generative Model for Music [Paper] [Code] [Blog] [Talk] Prafulla Dhariwal*, Heewoo Jun*, Christine Payne*, Jong Wook Kim, Alec Radford, Ilya Sutskever Glow: Generative Flow with Invertible 1x1 Convolutions [Paper] [Code] [Blog] [Talk] Durk P Kingma*, Prafulla Dhariwal* Neural Information Processing Systems (NeurIPS), 2018 Variational Lossy Autoencoder [Paper] Xi Chen, Diederik P Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel International Conference on Learning Representations (ICLR), 2017 UNSUPERVISED LEARNING Language Models are Few-Shot Learners [Paper] [Code] 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 Neural Information Processing Systems (NeurIPS), 2020 Generative Pretraining from Pixels [Paper] [Code] [Blog] Mark Chen, Alec Radford, Rewon Child, Jeff Wu, Heewoo Jun, Prafulla Dhariwal, David Luan, Ilya Sutskever International Conference on Machine Learning (ICML), 2020 SCALING LAWS Scaling Laws for Autoregressive Generative Modeling [Paper] 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 THEOREM PROVING Gamepad: A Learning Environment for Theorem Proving [Paper] [Code] Daniel Huang*, Prafulla Dhariwal*, Dawn Song, Ilya Sutskever International Conference on Learning Representations (ICLR), 2019 REINFORCEMENT LEARNING Proximal Policy Optimization Algorithms [Paper] [Code] [Blog] John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov Parameter Space Noise for Exploration [Paper] [Code] [Blog] [Talk] Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz International Conference on Learning Representations (ICLR), 2018 OpenAI Baselines [Code] Prafulla Dhariwal, Christopher Hesse, Oleg Klimov, Alex Nichol, Matthias Plappert, Alec Radford, John Schulman, Szymon Sidor, Yuhuai Wu, Peter Zhokhov QUANTUM COMPLEXITY Improved Quantum Query Complexity Bounds for Some Graph Problems [Paper] Prafulla Dhariwal*, Vinay Mayar* MEDIA DALL·E 2 GPT-3 JUKEBOX Built using minima