Fast Algorithms for Convolutional Neural Networks. - Andrew Lavin; Scott Gray (CVPR, 2016)

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; et al. (Proc. VLDB Endow., 2018)

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; et al. (SIGMOD Conference, 2019)

Generating Long Sequences with Sparse Transformers. - Rewon Child; Scott Gray; Alec Radford; Ilya Sutskever (CoRR, 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; et al. (CoRR, 2019)

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; et al. (NeurIPS, 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 003; Dario Amodei (CoRR, 2020)

Scaling Laws for Autoregressive Generative Modeling. - Tom Henighan; Jared Kaplan; Mor Katz; Mark Chen 003; Christopher Hesse; Jacob Jackson; Heewoo Jun; Tom B. Brown; Prafulla Dhariwal; Scott Gray; Chris Hallacy; Benjamin Mann; et al. (CoRR, 2020)

Zero-Shot Text-to-Image Generation. - Aditya Ramesh; Mikhail Pavlov; Gabriel Goh; Scott Gray; Chelsea Voss; Alec Radford; Mark Chen 003; Ilya Sutskever (ICML, 2021)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; 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; et al. (CoRR, 2021)

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; et al. (SIGCSE (2), 2022)

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 (IEEE Big Data, 2023)