Core Francisco Park

According to our database, Core Francisco Park authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Mechanisms of Misgeneralization in Physical Sequence Modeling.

Kento Nishi, Raphael Tang, Karun Kumar, Core Francisco Park, Hidenori Tanaka

CoRR, May, 2026

Convergent World Representations and Divergent Tasks.

Core Francisco Park

CoRR, February, 2026

2025

Hyperspectral Variational Autoencoders for Joint Data Compression and Component Extraction.

Core Francisco Park, Manuel Perez-Carrasco, Caroline Nowlan, Cecilia Garraffo

CoRR, November, 2025

Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy.

Manuel Perez-Carrasco, Maya Nasr, Sebastien Roche, Chris Chan Miller, Zhan Zhang, Core Francisco Park, Eleanor Walker, Cecilia Garraffo, Douglas P. Finkbeiner, Ritesh Gautam, Steven Wofsy

CoRR, September, 2025

Decomposing Elements of Problem Solving: What "Math" Does RL Teach?

Tian Qin, Core Francisco Park, Mujin Kwun, Aaron Walsman, Eran Malach, Nikhil Anand, Hidenori Tanaka, David Alvarez-Melis

CoRR, May, 2025

<i>New News</i>: System-2 Fine-tuning for Robust Integration of New Knowledge.

Core Francisco Park, Zechen Zhang, Hidenori Tanaka

CoRR, May, 2025

In-Context Learning Strategies Emerge Rationally.

Daniel Wurgaft, Ekdeep Singh Lubana, Core Francisco Park, Hidenori Tanaka, Gautam Reddy, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Swing-by Dynamics in Concept Learning and Compositional Generalization.

Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Competition Dynamics Shape Algorithmic Phases of In-Context Learning.

Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Competition Dynamics Shape Algorithmic Phases of In-Context Learning.

Core Francisco Park, Ekdeep Singh Lubana, Itamar Pres, Hidenori Tanaka

CoRR, 2024

Dynamics of Concept Learning and Compositional Generalization.

Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

CoRR, 2024

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.

Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders.

Yicong Li, Core Francisco Park, Daniel Xenes, Caitlyn Bishop, Daniel R. Berger, Aravinthan D. T. Samuel, Brock A. Wester, Jeff W. Lichtman, Hanspeter Pfister, Wanhua Li, Yaron Meirovitch

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

2023

Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models.

Core Francisco Park, Victoria Ono, Nayantara Mudur, Yueying Ni, Carolina Cuesta-Lázaro

CoRR, 2023

2021

Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework.

Lu Mi, Tianxing He, Core Francisco Park, Hao Wang, Yue Wang, Nir Shavit

CoRR, 2021