Steven Frankland
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
2
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CogSci | Deep Vision Models Follow Shepard's Universal Law of Generalization. | Daniel L. Carstensen, Serra E. Favila, Steven Frankland |
| 2020 | CogSci | Determinantal Point Processes for Memory and Structured Inference. | Steven Frankland, Jonathan Cohen |
| 2020 | ICML | Learning Representations that Support Extrapolation. | Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen |
| 2019 | CogSci | Extracting and Utilizing Abstract, Structured Representations for Analogy. | Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen |
| 2019 | CogSci | 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 |
| 2019 | CogSci | 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 |