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Liam Parker

AstroCLIP: a cross-modal foundation model for galaxies
2024 · Liam Parker, Francois Lanusse, et al. · Monthly Notices of the Royal Astronomical Society · 75
Field-level simulation-based inference of galaxy clustering with convolutional neural networks
2024 · Pablo Lemos, Liam Parker, et al. · Physical review. D/Physical review. D. · 45
Galaxy clustering analysis with SimBIG and the wavelet scattering transform
2024 · Bruno Régaldo-Saint Blancard, ChangHoon Hahn, et al. · Physical review. D/Physical review. D. · 36
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Cosmological constraints from non-Gaussian and nonlinear galaxy clustering using the SimBIG inference framework
2024 · ChangHoon Hahn, Pablo Lemos, et al. · Nature Astronomy · 34
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Cosmological constraints from the redshift-space galaxy skew spectra
2024 · Jiamin Hou, Azadeh Moradinezhad Dizgah, et al. · Physical review. D/Physical review. D. · 29
Cosmological constraints from the nonlinear galaxy bispectrum
2024 · ChangHoon Hahn, Michael Eickenberg, et al. · Physical review. D/Physical review. D. · 29
xVal: A Continuous Numerical Tokenization for Scientific Language Models
2023 · Golkar, Siavash, Pettee, Mariel, et al. · arXiv (Cornell University) · 25
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The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
2024 · Ruben Ohana, Michael McCabe, et al. · neural information processing systems · 24
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Multiple Physics Pretraining for Physical Surrogate Models
2023 · McCabe, Michael, Blancard, Bruno Régaldo-Saint, et al. · arXiv (Cornell University) · 17
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Multiple Physics Pretraining for Spatiotemporal Surrogate Models
2024 · Michael McCabe, Bruno Régaldo-Saint Blancard, et al. · neural information processing systems · 10
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${\rm S{\scriptsize IM}BIG}$: The First Cosmological Constraints from Non-Gaussian and Non-Linear Galaxy Clustering
2023 · Hahn, ChangHoon, Lemos, Pablo, et al. · arXiv (Cornell University) · 6
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{\sc SimBIG}: Cosmological Constraints using Simulation-Based Inference of Galaxy Clustering with Marked Power Spectra
2024 · Massara, Elena, Hahn, ChangHoon, et al. · arXiv (Cornell University) · 5
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The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
2024 · Eirini Angeloudi, Jeroen Audenaert, et al. · neural information processing systems · 5
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AION-1: Omnimodal Foundation Model for Astronomical Sciences
2025 · Liam Parker, Francois Lanusse, et al. · neural information processing systems · 2
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SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering
2023 · Lemos, Pablo, Parker, Liam, et al. · arXiv (Cornell University) · 2
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Recovering Galaxy Cluster Convergence from Lensed CMB with Generative Adversarial Networks
2022 · Parker, Liam, Han, Dongwon, et al. · arXiv (Cornell University) · 2
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MIMIC: A Generative Multimodal Foundation Model for Biomolecules
2026 · Golkar, Siavash, Kovalic, Jake, et al. · arXiv (Cornell University) · 1
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${\rm S{\scriptsize IM}BIG}$: Cosmological Constraints from the Redshift-Space Galaxy Skew Spectra
2024 · Hou, Jiamin, Dizgah, Azadeh Moradinezhad, et al. · arXiv (Cornell University) · 1
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${\rm S{\scriptsize IM}BIG}$: The First Cosmological Constraints from the Non-Linear Galaxy Bispectrum
2023 · Hahn, ChangHoon, Eickenberg, Michael, et al. · arXiv (Cornell University) · 1
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Neural Collapse in the Intermediate Hidden Layers of Classification Neural Networks
2023 · Parker, Liam, Onal, Emre, et al. · arXiv (Cornell University) · 1
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Field-Level Baryon Acoustic Oscillation Reconstruction of the DESI DR1 Luminous Red Galaxies with Linear Field Transformer (LiFT)
2026 · Parker, Liam, Seljak, Uroš, et al. · arXiv (Cornell University)
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Semantic Search for 100M+ Galaxy Images Using AI-generated Captions
2026 · Nolan Koblischke, Liam Parker, et al. · The Astrophysical Journal
AION-Search: Semantic search for galaxy images using AI-generated captions
2026 · Koblischke, Nolan, Parker, Liam, et al. · Zenodo (CERN European Organization for Nuclear Research)
Science that Compounds: The Need for A New Substrate for Research in the Age of AI
2026 · Lanusse, Francois, Parker, Liam · Zenodo (CERN European Organization for Nuclear Research)
A Probabilistic Autoencoder for Galaxy SED Reconstruction and Redshift Estimation: Application to Mock SPHEREx Spectrophotometry
2026 · Feder, Richard M., Parker, Liam, et al. · arXiv (Cornell University)
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Works count: 33
Citation count: 316
H-index: 8
I10-index: 8
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