Grace W. Lindsay

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies.
CoRR
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
2024 J jnl
Improving satellite imagery segmentation using multiple Sentinel-2 revisits.
CoRR
Kartik Jindgar, Grace W. Lindsay
2024 J jnl
Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience.
CoRR
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
2024 J jnl
Neural Circuit Architectural Priors for Quadruped Locomotion.
CoRR
Nikhil X. Bhattasali, Venkatesh Pattabiraman, Lerrel Pinto, Grace W. Lindsay
2023 J jnl
Testing methods of neural systems understanding.
Cogn. Syst. Res.
Grace W. Lindsay, David Bau
2022 J jnl
Testing the Tools of Systems Neuroscience on Artificial Neural Networks.
CoRR
Grace W. Lindsay
2021 J jnl
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future.
J. Cogn. Neurosci.
Grace W. Lindsay
2021 J jnl
Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning.
Frontiers Comput. Neurosci.
Grace W. Lindsay
2021 J jnl
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning.
CoRR
Grace W. Lindsay, Josh Merel, Tom Mrsic-Flogel, Maneesh Sahani
2020 J jnl
Attention in Psychology, Neuroscience, and Machine Learning.
Frontiers Comput. Neurosci.
Grace W. Lindsay
2020 J jnl
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future.
CoRR
Grace W. Lindsay
2015 J jnl
Feature-based Attention in Convolutional Neural Networks.
CoRR
Grace W. Lindsay