Learning optimal spike-based representations. - Ralph Bourdoukan; David G. T. Barrett; Christian K. Machens; Sophie Denève (NIPS, 2012)

Firing rate predictions in optimal balanced networks. - David G. T. Barrett; Sophie Denève; Christian K. Machens (NIPS, 2013)

Discovering objects and their relations from entangled scene representations. - David Raposo; Adam Santoro; David G. T. Barrett; Razvan Pascanu; Tim Lillicrap; Peter W. Battaglia (ICLR (Workshop), 2017)

Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study. - Samuel Ritter; David G. T. Barrett; Adam Santoro; Matt M. Botvinick (ICML, 2017)

A simple neural network module for relational reasoning. - Adam Santoro; David Raposo; David G. T. Barrett; Mateusz Malinowski; Razvan Pascanu; Peter W. Battaglia; Tim Lillicrap (NIPS, 2017)

Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. - Matthew M. Botvinick; David G. T. Barrett; Peter W. Battaglia; Nando de Freitas; Dharshan Kumaran; Joel Z. Leibo; Tim Lillicrap; Joseph Modayil; S. Mohamed; Neil C. Rabinowitz; Danilo Jimenez Rezende; Adam Santoro; et al. (CoRR, 2017)

On the importance of single directions for generalization. - Ari S. Morcos; David G. T. Barrett; Neil C. Rabinowitz; Matthew M. Botvinick (ICLR (Poster), 2018)

Measuring abstract reasoning in neural networks. - Adam Santoro; Felix Hill; David G. T. Barrett; Ari S. Morcos; Timothy P. Lillicrap (ICML, 2018)

Spectral Inference Networks: Unifying Spectral Methods With Deep Learning. - David Pfau; Stig Petersen; Ashish Agarwal; David G. T. Barrett; Kimberly L. Stachenfeld (CoRR, 2018)

Analyzing biological and artificial neural networks: challenges with opportunities for synergy? - David G. T. Barrett; Ari S. Morcos; Jakob H. Macke (CoRR, 2018)

Learning to Make Analogies by Contrasting Abstract Relational Structure. - Felix Hill; Adam Santoro; David G. T. Barrett; Ari S. Morcos; Timothy P. Lillicrap (ICLR (Poster), 2019)

Spectral Inference Networks: Unifying Deep and Spectral Learning. - David Pfau; Stig Petersen; Ashish Agarwal; David G. T. Barrett; Kimberly L. Stachenfeld (ICLR (Poster), 2019)

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette. - Adam Santoro; Felix Hill; David G. T. Barrett; David Raposo; Matthew M. Botvinick; Timothy P. Lillicrap (CoRR, 2019)

Cognitive consequences of structured education in a connectionist model of analogical reasoning. - David Barrett 001; Felix Hill; Adam Santoro; Jay McClelland (CogSci, 2020)

An Explicitly Relational Neural Network Architecture. - Murray Shanahan; Kyriacos Nikiforou; Antonia Creswell; Christos Kaplanis; David G. T. Barrett; Marta Garnelo (ICML, 2020)

Implicit Gradient Regularization. - David G. T. Barrett; Benoit Dherin (ICLR, 2021)

On the Origin of Implicit Regularization in Stochastic Gradient Descent. - Samuel L. Smith; Benoit Dherin; David G. T. Barrett; Soham De (ICLR, 2021)

Discretization Drift in Two-Player Games. - Mihaela Rosca; Yan Wu 010; Benoit Dherin; David Barrett 001 (ICML, 2021)

The Geometric Occam's Razor Implicit in Deep Learning. - Benoit Dherin; Michael Munn; David G. T. Barrett (CoRR, 2021)

Why neural networks find simple solutions: The many regularizers of geometric complexity. - Benoit Dherin; Michael Munn; Mihaela Rosca; David Barrett 001 (NeurIPS, 2022)

DiscoGen: Learning to Discover Gene Regulatory Networks. - Nan Rosemary Ke; Sara-Jane Dunn; Jörg Bornschein; Silvia Chiappa; Mélanie Rey; Jean-Baptiste Lespiau; Albin Cassirer; Jane X. Wang; Theophane Weber; David G. T. Barrett; Matthew M. Botvinick; Anirudh Goyal; et al. (CoRR, 2023)

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. - Ryutaro Tanno; David G. T. Barrett; Andrew Sellergren; Sumedh Ghaisas; Sumanth Dathathri; Abigail See; Johannes Welbl; Karan Singhal; Shekoofeh Azizi; Tao Tu 001; Mike Schaekermann; Rhys May; et al. (CoRR, 2023)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Advancing Multimodal Medical Capabilities of Gemini. - Lin Yang; Shawn Xu; Andrew Sellergren; Timo Kohlberger; Yuchen Zhou; Ira Ktena; Atilla P. Kiraly; Faruk Ahmed; Farhad Hormozdiari; Tiam Jaroensri; Eric Wang; Ellery Wulczyn; et al. (CoRR, 2024)

Advancing Conversational Diagnostic AI with Multimodal Reasoning. - Khaled Saab 003; Jan Freyberg; Chunjong Park; Tim Strother; Yong Cheng; Wei-Hung Weng; David G. T. Barrett; David Stutz; Nenad Tomasev; Anil Palepu; Valentin Liévin; Yash Sharma; et al. (CoRR, 2025)

Towards physician-centered oversight of conversational diagnostic AI. - Elahe Vedadi; David G. T. Barrett; Natalie Harris; Ellery Wulczyn; Shashir Reddy; Roma Ruparel; Mike Schaekermann; Tim Strother; Ryutaro Tanno; Yash Sharma; Jihyeon Lee; Cían Hughes; et al. (CoRR, 2025)