Prince, Jacob S.

8 publications

ICML 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

NeurIPS 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 Marie Henderson, Michael J. Tarr, Andrew Luo

ICLRW 2024 A Case for Sparse Positive Alignment of Neural Systems Jacob S. Prince, Colin Conwell, George A. Alvarez, Talia Konkle

ICLR 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

NeurIPSW 2024 Monkey See, Model Knew: Large Language Models Accurately Predict Human and Macaque Visual Brain Activity Colin Conwell, Emalie McMahon, Akshay Vivek Jagadeesh, Kasper Vinken, Saloni Sharma, Jacob S. Prince, George A. Alvarez, Talia Konkle, Leyla Isik, Margaret Livingstone

NeurIPSW 2024 Representation with a Capital 'r': Measuring Functional Alignment with Causal Perturbation Jacob S. Prince, George A. Alvarez, Talia Konkle

ICLRW 2023 Controlled Assessment of CLIP-Style Language-Aligned Vision Models in Prediction of Brain & Behavioral Data Colin Conwell, Jacob S. Prince, Christopher J Hamblin, George A. Alvarez

NeurIPSW 2021 What Can 5.17 Billion Regression Fits Tell Us About Artificial Models of the Human Visual System? Colin Conwell, Jacob S. Prince, George A. Alvarez, Talia Konkle