David G. T. Barrett

Google (United States) — United States

Computer Science · Physical Sciences

17h-index1.7kcitations42works44.42yr avg
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Research Topics

Neural Networks and Applications(9), Neural dynamics and brain function(6), Model Reduction and Neural Networks(4), Domain Adaptation and Few-Shot Learning(4), Stochastic Gradient Optimization Techniques(4)

Publications42 total

Advancing Conversational Diagnostic AI with Multimodal Reasoning
2025· 2 citedOpen Access
Advancing Conversational Diagnostic AI with Multimodal Reasoning
arXiv (Cornell University)·2025· 1 citedOpen Access
Collaboration between clinicians and vision–language models in radiology report generation
Nature Medicine·2024· 103 citedOpen Access
Advancing Multimodal Medical Capabilities of Gemini
arXiv (Cornell University)·2024· 28 citedOpen Access
Capabilities of Gemini Models in Medicine
arXiv (Cornell University)·2024· 88 citedOpen Access
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation
arXiv (Cornell University)·2023· 2 citedOpen Access
DiscoGen: Learning to Discover Gene Regulatory Networks
2023· 1 citedOpen Access
Why neural networks find simple solutions: the many regularizers of geometric complexity
arXiv (Cornell University)·2022· 10 citedOpen Access
The Geometric Occam's Razor Implicit in Deep Learning
arXiv (Cornell University)·2021Open Access
Discretization Drift in Two-Player Games
arXiv (Cornell University)·2021Open Access
On the Origin of Implicit Regularization in Stochastic Gradient Descent
arXiv (Cornell University)·2021· 40 citedOpen Access
Implicit Gradient Regularization
arXiv (Cornell University)·2020· 5 citedOpen Access
Cognitive consequences of structured education in a connectionist model of analogical reasoning.
Cognitive Science·2020
AlignNet: Self-supervised Alignment Module
2019· 1 cited
An Explicitly Relational Neural Network Architecture
arXiv (Cornell University)·2019· 25 citedOpen Access
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette
arXiv (Cornell University)·2019Open Access
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
Current Opinion in Neurobiology·2019· 5 citedOpen Access
Learning to Make Analogies by Contrasting Abstract Relational Structure
arXiv (Cornell University)·2019· 42 citedOpen Access
Is coding a relevant metaphor for building AI?
Behavioral and Brain Sciences·2019· 3 cited
Learning to Make Analogies by Contrasting Abstract Relational Structure
International Conference on Learning Representations·2019· 25 cited
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Frequent Co-authors

Adam Santoro(11), Timothy Lillicrap(8), Ari S. Morcos(7), Matthew Botvinick(6), Felix Hill(6), Ryutaro Tanno(6), Sophie Denève(6), Christian K. Machens(6), David Raposo(5), Peter Battaglia(5), Mike Schaekermann(5), S. Sara Mahdavi(5), Yossi Matias(5), Joëlle Barral(5), Vivek Natarajan(5), Benoît Dherin(5), Neil C. Rabinowitz(4), Tao Tu(4), Shekoofeh Azizi(4), S. M. Ali Eslami(4)