Gemma Elyse Moran on Muck Rack

Gemma Elyse Moran

As seen in: Taylor & Francis Online
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Articles

Towards Interpretable Deep Generative Models via Causal Representation Learning

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By Gemma Elyse Moran, Bryon Aragam
| Taylor & Francis Online
Advanced search Journal of the American Statistical Association Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/01621459.2026.2620154?needAccess=true Accepted author version Abstract Recent developments in generative artificial intelligence (AI) rely on machine learning techniques such as deep learning and generative modeling to achieve state-of-the-art performance across...
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Genetic Architectures of Medical Images Revealed by Registration and Fusion of Multiple Modalities

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By Sam Friedman, Gemma Elyse Moran, Marianne Rakic, Anthony Phillipakis
| biorxiv.org
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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