Ororbia’s paper on neural generative models selected as editor’s choice
Alexander Ororbia, assistant professor in the Department of Computer Science, published “The neural coding framework for learning generative models” in the Nature Communications journal. Ororbia and Daniel Kifer, professor at Pennsylvania State University, proposed a computational framework for developing neural generative models inspired by the theory of predictive processing in the brain. The paper was selected as an editor’s choice for top 50 papers published in applied physics and mathematics.
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