Declan Campbell

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Cognitive Systems

Trained Neural Networks

Top Venues

Publications

Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CoRR (2024)
Declan Campbell, Jonathan D. Cohen
A Relational Inductive Bias for Dimensional Abstraction in Neural Networks. CoRR (2024)
Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden Lake, Thomas L. Griffiths
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. CoRR (2024)
Raja Marjieh, Sreejan Kumar, Declan Campbell, Liyi Zhang, Gianluca M. Bencomo, Jake Snell, Thomas L. Griffiths
Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases. CoRR (2024)
Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. CoRR (2023)
Declan Campbell, Timothy T. Rogers
Disentangling Generativity in Visual Cognition. CogSci (2020)