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Core Francisco Park
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2020 – today
- 2025
- [i6]Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka:
ICLR: In-Context Learning of Representations. CoRR abs/2501.00070 (2025) - 2024
- [c2]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:
EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders. MOVI@MICCAI 2024: 160-169 - [c1]Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka:
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space. NeurIPS 2024 - [i5]Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka:
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space. CoRR abs/2406.19370 (2024) - [i4]Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka:
Dynamics of Concept Learning and Compositional Generalization. CoRR abs/2410.08309 (2024) - [i3]Core Francisco Park, Ekdeep Singh Lubana, Itamar Pres, Hidenori Tanaka:
Competition Dynamics Shape Algorithmic Phases of In-Context Learning. CoRR abs/2412.01003 (2024) - 2023
- [i2]Core Francisco Park, Victoria Ono, Nayantara Mudur, Yueying Ni, Carolina Cuesta-Lázaro:
Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models. CoRR abs/2311.08558 (2023) - 2021
- [i1]Lu Mi, Tianxing He, Core Francisco Park, Hao Wang, Yue Wang, Nir Shavit:
Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework. CoRR abs/2110.06421 (2021)
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last updated on 2025-02-15 01:15 CET by the dblp team
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