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Alex Nichol
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2020 – today
- 2023
- [i10]Heewoo Jun, Alex Nichol:
Shap-E: Generating Conditional 3D Implicit Functions. CoRR abs/2305.02463 (2023) - 2022
- [c3]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 - [i9]Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen:
Hierarchical Text-Conditional Image Generation with CLIP Latents. CoRR abs/2204.06125 (2022) - [i8]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
- [c2]Alexander Quinn Nichol, Prafulla Dhariwal:
Improved Denoising Diffusion Probabilistic Models. ICML 2021: 8162-8171 - [c1]Prafulla Dhariwal, Alexander Quinn Nichol:
Diffusion Models Beat GANs on Image Synthesis. NeurIPS 2021: 8780-8794 - [i7]Alex Nichol, Prafulla Dhariwal:
Improved Denoising Diffusion Probabilistic Models. CoRR abs/2102.09672 (2021) - [i6]Prafulla Dhariwal, Alex Nichol:
Diffusion Models Beat GANs on Image Synthesis. CoRR abs/2105.05233 (2021) - [i5]Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba:
Evaluating Large Language Models Trained on Code. CoRR abs/2107.03374 (2021) - [i4]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
- [i3]Alex Nichol:
VQ-DRAW: A Sequential Discrete VAE. CoRR abs/2003.01599 (2020)
2010 – 2019
- 2018
- [i2]Alex Nichol, Joshua Achiam, John Schulman:
On First-Order Meta-Learning Algorithms. CoRR abs/1803.02999 (2018) - [i1]Alex Nichol, Vicki Pfau, Christopher Hesse, Oleg Klimov, John Schulman:
Gotta Learn Fast: A New Benchmark for Generalization in RL. CoRR abs/1804.03720 (2018)
Coauthor Index
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