Scott Gray

According to our database, Scott Gray authored at least 13 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Global Architecture of AI Regulation: Mapping Jurisdictional Fragmentation and Multinational Enterprise Compliance Strategies.

Nir Kshetri, Jessica Barnier, Cynde Ferris, Scott Gray, Hyunjoo Hill, Summer Jelinek, Emily McAnally, Nkechi Obodozie, Ashley Raper, Joe Sanders

Computer, June, 2026

2023

Introducing Computational Thinking in Middle-Schools using a Culturally-responsive Game through a Researcher-Practitioner Partnership.

Ismael Villanueva-Miranda, Katherine Mortimer, Monika Akbar, Romelia Rodriguez Reyes, Cynthia Ontiveros, Scott Gray, Pedro Delgado, Victor Medrano, Melissa Anderson, Jacob Ramirez, Jesus Vazquez

Proceedings of the IEEE International Conference on Big Data, 2023

2022

The Sol y Agua RPP: A Bilingual and Culturally Responsive Approach to Introduce Computational Thinking in Middle School.

Monika Akbar, Katherine Mortimer, Grecia Navarrete, Stephanie Galvan, George Molina, Romelia Rodriguez Reyes, Cynthia Ontiveros, Scott Gray, Sarah Escandon, Monica Lyons, Pedro Delgado, Victor Medrano, Haleigh Kneedler, Patricia Benitez, Jacob Ramirez, Jesus Vazquez, Melissa Anderson

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

2021

Evaluating Large Language Models Trained on Code.

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

CoRR, 2021

Zero-Shot Text-to-Image Generation.

Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

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, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish

CoRR, 2020

Scaling Laws for Neural Language Models.

Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei

CoRR, 2020

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 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Dota 2 with Large Scale Deep Reinforcement Learning.

Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemyslaw Debiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Christopher Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique Pondé de Oliveira Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang

CoRR, 2019

Generating Long Sequences with Sparse Transformers.

Rewon Child, Scott Gray, Alec Radford, Ilya Sutskever

CoRR, 2019

FoundationDB Record Layer: A Multi-Tenant Structured Datastore.

Christos Chrysafis, Ben Collins, Scott Dugas, Jay Dunkelberger, Moussa Ehsan, Scott Gray, Alec Grieser, Ori Herrnstadt, Kfir Lev-Ari, Tao Lin, Mike McMahon, Nicholas Schiefer, Alexander Shraer

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

CloudKit: Structured Storage for Mobile Applications.

Alexander Shraer, Alexandre Aybes, Bryan Davis, Christos Chrysafis, Dave Browning, Eric Krugler, Eric Stone, Harrison Chandler, Jacob Farkas, John Quinn, Jonathan Ruben, Michael Ford, Mike McMahon, Nathan Williams, Nicolas Favre-Felix, Nihar Sharma, Ori Herrnstadt, Paul Seligman, Raghav Pisolkar, Scott Dugas, Scott Gray, Shirley Lu, Sytze Harkema, Valentin Kravtsov, Vanessa Hong, Wan Ling Yih, Yizuo Tian

Proc. VLDB Endow., 2018

2016

Fast Algorithms for Convolutional Neural Networks.

Andrew Lavin, Scott Gray

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016