David G. T. Barrett

34 papers A* 5Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic. CoRR Peter G. Brodeur, Jacob M. Koshy, Anil Palepu, Khaled Saab, Ava Homiar, Roma Ruparel, Charles Wu, Ryutaro Tanno, Joseph Xu, Amy Wang, David Stutz, Wei-Hung Weng, Hannah M. Ferrera, David G. T. Barrett, Lindsey Crowley, Jihyeon Lee, Spencer E. Rittner, Ellery Wulczyn, Selena K. Zhang, Elahe Vedadi, Christine G. Kohn, Kavita Kulkarni, Vinay Kadiyala, S. Sara Mahdavi, Wendy Du, Jessica M. Williams, David Feinbloom, Renee Wong, Tao Tu, Petar Sirkovic, Alessio Orlandi, Christopher Semturs, Yun Liu, Juraj Gottweis, Dale R. Webster, Joëlle Barral, Katherine Chou, Pushmeet Kohli, Avinatan Hassidim, Yossi Matias, James Manyika, Rob Fields, Jonathan X. Li, Marc L. Cohen, Vivek Natarajan, Mike Schaekermann, Alan Karthikesalingam, Adam Rodman
2025	J	`jnl`	Advancing Conversational Diagnostic AI with Multimodal Reasoning. CoRR Khaled Saab, 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, Roma Ruparel, Abdullah Ahmed, Elahe Vedadi, Kimberly Kanada, Cían Hughes, Yun Liu, Geoff Brown, Yang Gao, Sean Li, S. Sara Mahdavi, James Manyika, Katherine Chou, Yossi Matias, Avinatan Hassidim, Dale R. Webster, Pushmeet Kohli, S. M. Ali Eslami, Joelle K. Barral, Adam Rodman, Vivek Natarajan, Mike Schaekermann, Tao Tu, Alan Karthikesalingam, Ryutaro Tanno
2025	J	`jnl`	Towards physician-centered oversight of conversational diagnostic AI. CoRR 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, Dylan Slack, Anil Palepu, Jan Freyberg, Khaled Saab, Valentin Liévin, Wei-Hung Weng, Tao Tu, Yun Liu, Nenad Tomasev, Kavita Kulkarni, S. Sara Mahdavi, Kelvin Guu, Joelle K. Barral, Dale R. Webster, James Manyika, Avinatan Hassidim, Katherine Chou, Yossi Matias, Pushmeet Kohli, Adam Rodman, Vivek Natarajan, Alan Karthikesalingam, David Stutz
2024	J	`jnl`	Advancing Multimodal Medical Capabilities of Gemini. CoRR 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, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
2023	J	`jnl`	Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena
2023	J	`jnl`	DiscoGen: Learning to Discover Gene Regulatory Networks. CoRR 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, Michael Mozer, Danilo J. Rezende
2022	J	`jnl`	Why neural networks find simple solutions: the many regularizers of geometric complexity. CoRR Benoit Dherin, Michael Munn, Mihaela Rosca, David G. T. Barrett
2021	J	`jnl`	Discretization Drift in Two-Player Games. CoRR Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett
2021	A*	`conf`	Implicit Gradient Regularization. ICLR David G. T. Barrett, Benoit Dherin
2021	A*	`conf`	On the Origin of Implicit Regularization in Stochastic Gradient Descent. ICLR Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De
2021	J	`jnl`	On the Origin of Implicit Regularization in Stochastic Gradient Descent. CoRR Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De
2021	J	`jnl`	The Geometric Occam's Razor Implicit in Deep Learning. CoRR Benoit Dherin, Michael Munn, David G. T. Barrett
2020	A*	`conf`	An Explicitly Relational Neural Network Architecture. ICML Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo
2020	J	`jnl`	Implicit Gradient Regularization. CoRR David G. T. Barrett, Benoit Dherin
2019	J	`jnl`	Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette. CoRR Adam Santoro, Felix Hill, David G. T. Barrett, David Raposo, Matthew M. Botvinick, Timothy P. Lillicrap
2019	—	`conf`	Learning to Make Analogies by Contrasting Abstract Relational Structure. ICLR (Poster) Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2019	J	`jnl`	Learning to Make Analogies by Contrasting Abstract Relational Structure. CoRR Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2019	—	`conf`	Spectral Inference Networks: Unifying Deep and Spectral Learning. ICLR (Poster) David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld
2018	J	`jnl`	Analyzing biological and artificial neural networks: challenges with opportunities for synergy? CoRR David G. T. Barrett, Ari S. Morcos, Jakob H. Macke
2018	A*	`conf`	Measuring abstract reasoning in neural networks. ICML Adam Santoro, Felix Hill, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2018	J	`jnl`	Measuring abstract reasoning in neural networks. CoRR David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy P. Lillicrap
2018	—	`conf`	On the importance of single directions for generalization. ICLR (Poster) Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew M. Botvinick
2018	J	`jnl`	On the importance of single directions for generalization. CoRR Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew M. Botvinick
2018	J	`jnl`	Spectral Inference Networks: Unifying Spectral Methods With Deep Learning. CoRR David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld
2017	—	`conf`	A simple neural network module for relational reasoning. NIPS Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Tim Lillicrap
2017	J	`jnl`	A simple neural network module for relational reasoning. CoRR Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Timothy P. Lillicrap
2017	J	`jnl`	Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. CoRR 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, Tom Schaul, Christopher Summerfield, Greg Wayne, Theophane Weber, Daan Wierstra, Shane Legg, Demis Hassabis
2017	A*	`conf`	Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study. ICML Samuel Ritter, David G. T. Barrett, Adam Santoro, Matt M. Botvinick
2017	J	`jnl`	Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study. CoRR Samuel Ritter, David G. T. Barrett, Adam Santoro, Matthew M. Botvinick
2017	—	`conf`	Discovering objects and their relations from entangled scene representations. ICLR (Workshop) David Raposo, Adam Santoro, David G. T. Barrett, Razvan Pascanu, Tim Lillicrap, Peter W. Battaglia
2017	J	`jnl`	Discovering objects and their relations from entangled scene representations. CoRR David Raposo, Adam Santoro, David G. T. Barrett, Razvan Pascanu, Timothy P. Lillicrap, Peter W. Battaglia
2013	—	`conf`	Firing rate predictions in optimal balanced networks. NIPS David G. T. Barrett, Sophie Denève, Christian K. Machens
2012	—	`conf`	Learning optimal spike-based representations. NIPS Ralph Bourdoukan, David G. T. Barrett, Christian K. Machens, Sophie Denève