Grace W. Lindsay

According to our database, Grace W. Lindsay authored at least 11 papers between 2015 and 2026.

Collaborative distances:

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

2026

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies.

Miles Brundage, Noemi Dreksler, Aidan Homewood, Sean McGregor, Patricia Paskov, Conrad Stosz, Girish Sastry, A. Feder Cooper, George Balston, Steven Adler, Stephen Casper, Markus Anderljung, Grace W. Lindsay, Sören Mindermann, Vasilios Mavroudis, Ben Bucknall, Charlotte Stix, Jonas Freund, Lorenzo Pacchiardi, José Hernández-Orallo, Matteo Pistillo, Michael Chen, Chris Painter, Dean W. Ball, Cullen O'Keefe, Gabriel Weil, Ben Harack, Graeme Finley, Ryan Hassan, Scott Emmons, Charles Foster, Anka Reuel, Bri Treece, Yoshua Bengio, Daniel Reti, Rishi Bommasani, Cristian Trout, Ali Shahin Shamsabadi, Rajiv Dattani, Adrian Weller, Robert Trager, Jaime Sevilla, Lauren Wagner, Lisa Soder, Ketan Ramakrishnan, Henry Papadatos, Malcolm Murray, Ryan Tovcimak

CoRR, January, 2026

2024

Neural Circuit Architectural Priors for Quadruped Locomotion.

Nikhil X. Bhattasali, Venkatesh Pattabiraman, Lerrel Pinto, Grace W. Lindsay

CoRR, 2024

Improving satellite imagery segmentation using multiple Sentinel-2 revisits.

Kartik Jindgar, Grace W. Lindsay

CoRR, 2024

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience.

Zhonghao He, Jascha Achterberg, Katie Collins, Kevin K. Nejad, Danyal Akarca, Yinzhu Yang, Wes Gurnee, Ilia Sucholutsky, Yuhan Tang, Rebeca Ianov, George Ogden, Chole Li, Kai Sandbrink, Stephen Casper, Anna Ivanova, Grace W. Lindsay

CoRR, 2024

2023

Testing methods of neural systems understanding.

Grace W. Lindsay, David Bau

Cogn. Syst. Res., December, 2023

2022

Testing the Tools of Systems Neuroscience on Artificial Neural Networks.

Grace W. Lindsay

CoRR, 2022

2021

Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future.

Grace W. Lindsay

J. Cogn. Neurosci., 2021

Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning.

Grace W. Lindsay

Frontiers Comput. Neurosci., 2021

Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning.

Grace W. Lindsay, Josh Merel, Tom Mrsic-Flogel, Maneesh Sahani

CoRR, 2021

2020

Attention in Psychology, Neuroscience, and Machine Learning.

Grace W. Lindsay

Frontiers Comput. Neurosci., 2020

2015

Feature-based Attention in Convolutional Neural Networks.

Grace W. Lindsay

CoRR, 2015