D. Sculley

Joined

February 2018

Names

D. Sculley

Emails

****@google.com (Confirmed)

,

****@sculley.ai (Confirmed)

Personal Links

Career & Education History

No history added

Advisors, Relations & Conflicts

PhD Advisor

2003 – 2008

Expertise

No areas of expertise listed

Publications

Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
D. Sculley, William Cukierski, Phil Culliton, Sohier Dane, Maggie M Demkin, Ryan Holbrook, Addison Howard, Paul T Mooney, Walter Reade, Meg Risdal, Nate Keating
- ICML 2025 Position Paper Track oral
- Readers: Everyone
DataPerf: Benchmarks for Data-Centric AI Development
Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William A Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun et al. (27 additional authors not shown)
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Rapid Prediction of Electron–Ionization Mass Spectrometry Using Neural Networks
Jennifer N. Wei, David Benjamin Belanger, Ryan P Adams, D. Sculley
- 30 Jan 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, E. Kelly Buchanan et al. (6 additional authors not shown)
- 26 May 2022 (modified: 30 Dec 2025)
- ICML 2022 Pre-training Workshop ContributedTalk
- Readers: Everyone
Fairness is not static: deeper understanding of long term fairness via simulation studies.
Alexander D'Amour, Hansa Srinivasan, James Atwood, Pallavi Baljekar, D. Sculley, Yoni Halpern
- 2020 (modified: 09 Nov 2022)
- FAT*2020
- Readers: Everyone
TensorFlow.js: Machine Learning for the Web and Beyond
Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg
- 2019 (modified: 08 Nov 2022)
- CoRR 2019
- Readers: Everyone
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
Jasper Snoek, Yaniv Ovadia, Emily Fertig, Balaji Lakshminarayanan, Sebastian Nowozin, D. Sculley, Joshua V. Dillon, Jie Ren, Zachary Nado
- 2019 (modified: 08 Nov 2022)
- NeurIPS 2019
- Readers: Everyone
Avoiding a Tragedy of the Commons in the Peer Review Process
D. Sculley, Jasper Snoek, Alexander B. Wiltschko
- 2019 (modified: 08 Nov 2022)
- CoRR 2019
- Readers: Everyone
Fair treatment allocations in social networks
James Atwood, Hansa Srinivasan, Yoni Halpern, David Sculley
- 2019 (modified: 19 Feb 2025)
- CoRR 2019
- Readers: Everyone
BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity.
Alexey A. Gritsenko, Alex D'Amour, James Atwood, Yoni Halpern, D. Sculley
- 2018 (modified: 09 Nov 2022)
- CoRR2018
- Readers: Everyone

View all 37 publications

Co-Authors

View all 184 co-authors