Jacob S. Prince

According to our database, Jacob S. Prince authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding.

Mu Nan, Muquan Yu, Weijian Mai, Jacob S. Prince, Hossein Adeli, Rui Zhang, Jiahang Cao, Benjamin Becker, John A. Pyles, Margaret M. Henderson, Chunfeng Song, Nikolaus Kriegeskorte, Michael J. Tarr, Xiaoqing Hu, Andrew F. Luo

CoRR, April, 2026

2025

Vocabulary embeddings organize linguistic structure early in language model training.

Isabel Papadimitriou, Jacob S. Prince

CoRR, October, 2025

Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex.

Muquan Yu, Mu Nan, Hossein Adeli, Jacob S. Prince, John A. Pyles, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Andrew F. Luo

CoRR, May, 2025

Disentangling signal and noise in neural responses through generative modeling.

Kendrick N. Kay, Jacob S. Prince, Thomas Gebhart, Greta Tuckute, Jingyang Zhou, Thomas Naselaris, Heiko H. Schütt

PLoS Comput. Biol., 2025

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models.

Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle

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

2024

Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems.

Jacob S. Prince, Gabriel Fajardo, George A. Alvarez, Talia Konkle

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

3D View Prediction Models of the Dorsal Visual Stream.

Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Y. Wang, Jacob S. Prince, Michael J. Tarr

CoRR, 2023