Steven Frankland

According to our database, Steven Frankland authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

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

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

2023

Evidence for Spinozan "Unbelieving" in the Right Inferior Prefrontal Cortex.

Regan M. Bernhard, Steven M. Frankland, Dillon Plunkett, Beau Sievers, Joshua D. Greene

J. Cogn. Neurosci., April, 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

Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization.

Shanka Subhra Mondal, Steven Frankland, Taylor W. Webb, Jonathan D. Cohen

CoRR, 2023

2020

Learning Representations that Support Extrapolation.

Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 37th International Conference on Machine Learning, 2020

Determinantal Point Processes for Memory and Structured Inference.

Steven Frankland, Jonathan Cohen

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

2019

A tradeoff between generalization and perceptual capacity in recurrent neural networks.

Taylor W. Webb, Steven Frankland, Simon N. Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Understanding interactions amongst cognitive control, learning and representation.

Sebastian Musslick, Abigail Novick Hoskin, Taylor W. Webb, Steven Frankland, Jonathan D. Cohen, Rebecca L. Jackson, Matthew A. Lambon Ralph, Lang Chen, Timothy T. Rogers, Randall C. O'Reilly, Alexander A. Petrov

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Extracting and Utilizing Abstract, Structured Representations for Analogy.

Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019