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Jacob S. Prince

3 papers · 2024–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

CVPR (1) ICLR (1) ICML (1)

Top co-authors

Talia Konkle (2) Victor Boutin (1) Isabel Papadimitriou (1) Xiaoqing Hu (1) Ekdeep Singh Lubana (1) Binxu Wang (1) Andrew F. Luo (1) Martin Wattenberg (1) Jiahang Cao (1) Gabriel Fajardo (1)

Research topics

Deep Learning (3) Machine Learning (2) Artificial Intelligence (1) Computer Vision (1) Interdisciplinary (1) Analysis (1) Architectures (1) Core AI (1) Core Methods (1) Learning Types (1) Optimization & Theory (1) Science (1) Techniques (1)

Keywords

dictionary learning (1) representation learning (1) object recognition (1) in-context learning (1) efficient coding (1) brain decoding (1) functional magnetic resonance imaging (1) identifiability (1) stability (1) convex hull (1) visual system (1) neural network (1) visual decoding (1) cross-subject generalization (1) archetypal saes (1) plausibility (1)

Papers

Meta-Learning In-Context Enables Training-Free Cross Subject Brain Decoding CVPR 2026 Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models ICML 2025 Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems ICLR 2024