Declan Campbell

According to our database, Declan Campbell authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

2026

The Geometry of Representational Failures in Vision Language Models.

Daniele Savietto, Declan Campbell, André Panisson, Marco Nurisso, Giovanni Petri, Jonathan D. Cohen, Alan Perotti

CoRR, February, 2026

Context Structure Reshapes the Representational Geometry of Language Models.

Eghbal A. Hosseini, Yuxuan Li, Yasaman Bahri, Declan Campbell, Andrew Kyle Lampinen

CoRR, January, 2026

2025

Visual serial processing deficits explain divergences in human and VLM reasoning.

Nicholas Budny, Kia Ghods, Declan Campbell, Raja Marjieh, Amogh Joshi, Sreejan Kumar, Jonathan D. Cohen, Taylor W. Webb, Thomas L. Griffiths

CoRR, September, 2025

Just-in-time and distributed task representations in language models.

Yuxuan Li, Declan Campbell, Stephanie C. Y. Chan, Andrew Kyle Lampinen

CoRR, September, 2025

Visual symbolic mechanisms: Emergent symbol processing in vision language models.

Rim Assouel, Declan Campbell, Taylor W. Webb

CoRR, June, 2025

Bound by semanticity: universal laws governing the generalization-identification tradeoff.

Marco Nurisso, Jesseba Fernando, Raj Deshpande, Alan Perotti, Raja Marjieh, Steven M. Frankland, Richard L. Lewis, Taylor W. Webb, Declan Campbell, Francesco Vaccarino, Jonathan D. Cohen, Giovanni Petri

CoRR, June, 2025

Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis.

Alexander Ku, Declan Campbell, Xuechunzi Bai, Jiayi Geng, Ryan Liu, Raja Marjieh, R. Thomas McCoy, Andrew Nam, Ilia Sucholutsky, Veniamin Veselovsky, Liyi Zhang, Jian-Qiao Zhu, Thomas L. Griffiths

CoRR, March, 2025

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models.

Yukang Yang, Declan Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen, Taylor Whittington Webb

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Understanding Task Representations in Neural Networks via Bayesian Ablation.

Andrew Nam, Declan I. Campbell, Tom Griffiths, Jonathan Cohen, Sarah-Jane Leslie

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

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

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

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 Frankland, Tom Griffiths, Jonathan D. Cohen, Taylor W. Webb

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction.

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

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

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

Declan I. Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan Cohen, Tom Griffiths

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

A Relational Inductive Bias for Dimensional Abstraction in Neural Networks.

Declan I. Campbell, Jonathan Cohen

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 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

Cortical functional connectivity indexes arousal state during sleep and anesthesia.

Matthew I. Banks, Bryan M. Krause, Christopher M. Endemann, Declan I. Campbell, Christopher K. Kovach, Mark Eric Dyken, Hiroto Kawasaki, Kirill V. Nourski

NeuroImage, 2020

Disentangling Generativity in Visual Cognition.

Declan Campbell, Timothy T. Rogers

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