Author

Core Francisco Park

Observed names: Core Francisco Park, Park, Core Francisco

Institution: Harvard University

Observed institutions: Harvard University, Center for Astrophysics Harvard & Smithsonian

ORCID: 0000-0002-9542-2913

Observed ORCID: 0000-0002-9542-2913

OpenAlex ID: A5084194574

Natural sensory context drives diverse brain-wide activity during C. elegans mating

2021 · Vladislav Susoy, Wesley Hung, et al. · Cell · 72

mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops

2023 · Elisa C. Pavarino, Emma Yang, et al. · Frontiers in Neural Circuits · 18

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

2023 · Core Francisco Park, Mahsa Barzegar-Keshteli, et al. · Nature Methods · 17

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SmartEM: machine learning-guided electron microscopy

2025 · Yaron Meirovitch, Ishaan Singh Chandok, et al. · Nature Methods · 15

Quantification of High-dimensional Non-Gaussianities and Its Implication to Fisher Analysis in Cosmology

2023 · Core Francisco Park, Erwan Allys, et al. · The Astrophysical Journal · 15

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Debiasing with Diffusion: Probabilistic Reconstruction of Dark Matter Fields from Galaxies with CAMELS

2024 · Victoria Ono, Core Francisco Park, et al. · The Astrophysical Journal · 14

Stellar-reddening-based Extinction Maps for Cosmological Applications

2023 · Nayantara Mudur, Core Francisco Park, et al. · The Astrophysical Journal · 8

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Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework

2021 · Mi, Lu, He, Tianxing, et al. · arXiv (Cornell University) · 6

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Automated neuron tracking inside moving and deforming animals using deep learning and targeted augmentation

2022 · Core Francisco Park, Mahsa Barzegar Keshteli, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 5

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

2025 · Yicong Li, Core Francisco Park, et al. · Lecture notes in computer science · 4

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

2026 · Manuel Perez-Carrasco, Maya Nasr, et al. · IEEE Transactions on Geoscience and Remote Sensing · 1

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

2025 · Manuel Ignacio Pérez-Carrasco, Maya Nasr, et al. · SSRN Electronic Journal · 1

Hyperspectral shadow removal with Iterative Logistic Regression and latent Parametric Linear Combination of Gaussians

2023 · Park, Core Francisco, Nasr, Maya, et al. · arXiv (Cornell University) · 1

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

2023 · Park, Core Francisco, Ono, Victoria, et al. · arXiv (Cornell University) · 1

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Quantification of high dimensional non-Gaussianities and its implication to Fisher analysis in cosmology

2022 · Park, Core Francisco, Allys, Erwan, et al. · arXiv (Cornell University) · 1

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Mechanisms of Misgeneralization in Physical Sequence Modeling

2026 · Nishi, Kento, Tang, Raphael, et al. · arXiv (Cornell University)

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Whole-organism spatial transcriptomics at single-cell resolution in C. elegans

2026 · Jose David Aguirre, Xuan Wan, et al. · bioRxiv (Cold Spring Harbor Laboratory)

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Convergent World Representations and Divergent Tasks

2026 · Park, Core Francisco · arXiv (Cornell University)

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Works count: 21

Citation count: 179

H-index: 7

I10-index: 6