Sherpa: Robust hyperparameter optimization for machine learning von Hertel, Lars, Collado, Julian, Sadowski, Peter, Ott, Jordan, Baldi, Pierre

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Learning in the machine: The symmetries of the deep learning channel von Baldi, Pierre, Sadowski, Peter, Lu, Zhiqin

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The dropout learning algorithm von Baldi, Pierre, Sadowski, Peter

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Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D). I. Overview, Magnetohydrodynamic Modeling, and Stokes Profile Synthesis von Yang, Kai E., Tarr, Lucas A., Rempel, Matthias, Dodds, S. Curt, Jaeggli, Sarah A., Sadowski, Peter, Schad, Thomas A., Cunnyngham, Ian, Liu, Jiayi, Glaser, Yannik, Sun, Xudong

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Deep probabilistic direction prediction in 3D with applications to directional dark matter detectors von Ghrear, Majd, Sadowski, Peter, Vahsen, Sven E

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A theory of local learning, the learning channel, and the optimality of backpropagation von Baldi, Pierre, Sadowski, Peter

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Parameterized neural networks for high-energy physics von Baldi, Pierre, Cranmer, Kyle, Faucett, Taylor, Sadowski, Peter, Whiteson, Daniel

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Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging von Glaser, Yannik, Shepherd, John, Leong, Lambert, Wolfgruber, Thomas, Lui, Li-Yung, Sadowski, Peter, Cummings, Steven R.

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Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans von Leong, Lambert T., Wong, Michael C., Liu, Yong E., Glaser, Yannik, Quon, Brandon K., Kelly, Nisa N., Cataldi, Devon, Sadowski, Peter, Heymsfield, Steven B., Shepherd, John A.

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Learning in the machine: Random backpropagation and the deep learning channel von Baldi, Pierre, Sadowski, Peter, Lu, Zhiqin

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Small-Molecule 3D Structure Prediction Using Open Crystallography Data von Sadowski, Peter, Baldi, Pierre

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Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar von Quach, Brandon, Glaser, Yannik, Stopa, Justin Edward, Mouche, Alexis Aurelien, Sadowski, Peter

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Learning in the machine: Recirculation is random backpropagation von Baldi, P., Sadowski, P.

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Deep probabilistic direction prediction in 3D with applications to directional dark matter detectors von Ghrear, Majd, Sadowski, Peter, Vahsen, Sven E.

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Recovery of TESS Stellar Rotation Periods Using Deep Learning von Claytor, Zachary R., van Saders, Jennifer L., Llama, Joe, Sadowski, Peter, Quach, Brandon, Avallone, Ellis A.

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Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women von Zhu, Xun, Wolfgruber, Thomas K., Leong, Lambert, Jensen, Matthew, Scott, Christopher, Winham, Stacey, Sadowski, Peter, Vachon, Celine, Kerlikowske, Karla, Shepherd, John A.

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Proxy-based Prediction of Solar Extreme Ultraviolet Emission Using Deep Learning von Pineci, Anthony, Sadowski, Peter, Gaidos, Eric, Sun, Xudong

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Performance of Progressive Generations of GPT on an Exam Designed for Certifying Physicians as Certified Clinical Densitometrists von Valdez, Dustin, Bunnell, Arianna, Lim, Sian Y., Sadowski, Peter, Shepherd, John A.

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Oral to subcutaneous methotrexate dose-conversion strategy in the treatment of rheumatoid arthritis von Schiff, Michael H., Sadowski, Peter

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Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction von Sadowski, Peter, Fooshee, David, Subrahmanya, Niranjan, Baldi, Pierre

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