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Michael McCabe

xVal: A Continuous Numerical Tokenization for Scientific Language Models
2023 · Golkar, Siavash, Pettee, Mariel, et al. · arXiv (Cornell University) · 25
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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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AION-1: Omnimodal Foundation Model for Astronomical Sciences
2025 · Liam Parker, Francois Lanusse, et al. · neural information processing systems · 7
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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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Mapper Comparison with Wasserstein Metrics
2018 · McCabe, Michael · arXiv (Cornell University) · 1
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Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence
2026 · Mukhopadhyay, Payel, Nixon, Stefan S., et al. · arXiv (Cornell University)
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Representation Learning for Spatiotemporal Physical Systems
2026 · Qu, Helen, Morel, Rudy, et al. · arXiv (Cornell University)
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On the Value of Tokeniser Pretraining in Physics Foundation Models
2026 · Sotoudeh, Hadi, Mukhopadhyay, Payel, et al. · arXiv (Cornell University)
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Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
2025 · Rudy Morel, Francesco Ramunno, et al. · neural information processing systems
SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation
2025 · Rey Koki, Michael McCabe, et al. · neural information processing systems
Works count: 11
Citation count: 44
H-index: 3
I10-index: 2
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