Park, Core Francisco

11 publications

ICLR 2025 Competition Dynamics Shape Algorithmic Phases of In-Context Learning Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka

ICLR 2025 ICLR: In-Context Learning of Representations Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka

NeurIPS 2025 In-Context Learning Strategies Emerge Rationally Daniel Wurgaft, Ekdeep Singh Lubana, Core Francisco Park, Hidenori Tanaka, Gautam Reddy, Noah Goodman

ICLR 2025 Swing-by Dynamics in Concept Learning and Compositional Generalization Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

ICMLW 2024 3D Reconstruction of Dark Matter Fields with Diffusion Models: Towards Application to Galaxy Surveys Core Francisco Park, Nayantara Mudur, Carolina Cuesta-Lazaro, Yueying Ni, Victoria Ono, Douglas Finkbeiner

NeurIPSW 2024 Dynamics of Concept Learning and Compositional Generalization Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

NeurIPS 2024 Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space Core Francisco Park, Maya Okawa, Andrew Lee, Hidenori Tanaka, Ekdeep Singh Lubana

ICMLW 2024 Hidden Learning Dynamics of Capability Before Behavior in Diffusion Models Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka

NeurIPSW 2024 Structured Identity Mapping Learning as a Model for Compositional Generalization in Generative Models Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

NeurIPSW 2024 Structured In-Context Task Representations Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Kento Nishi, Maya Okawa, Hidenori Tanaka

NeurIPSW 2024 Understanding the Transient Nature of In-Context Learning: The Window of Generalization Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka