Declan Campbell

According to our database, Declan Campbell authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem.

Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor W. Webb

CoRR, 2024

Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases.

Raja Marjieh, Sreejan Kumar, Declan Campbell, Liyi Zhang, Gianluca M. Bencomo, Jake Snell, Thomas L. Griffiths

CoRR, 2024

A Relational Inductive Bias for Dimensional Abstraction in Neural Networks.

Declan Campbell, Jonathan D. Cohen

CoRR, 2024

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks.

Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen

CoRR, 2024

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction.

Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Thomas L. Griffiths

CoRR, 2024

2023

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction.

Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen

CoRR, 2023

2020

Disentangling Generativity in Visual Cognition.

Declan Campbell, Timothy T. Rogers

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020