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https://rodem.ch/ RODEM | Robust Deep Density Models for High-Energy Physics and Solar Astronomy high energy physics density models https://deepai.org/publication/marginalizable-density-models Marginalizable Density Models | DeepAI Jun 8, 2021 - 06/08/21 - Probability density models based on deep networks have achieved remarkable success in modeling complex high-dimensional datasets. ... density models deepai https://www.stir.ac.uk/research/hub/publication/1791756 Article | Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation... Article: Duncanson L, Kellner JR, Armston J, Dubayah R, Minor DM, Hancock S, Healey SP, Patterson PL, Saarela S, Marselis S, Silva CE, Bruening J, Abernethy K,... density models https://www.econstor.eu/handle/10419/316192 EconStor: Observation-driven hierarchical density models for missing data imputation EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. density models missing data econstor observation driven https://openreview.net/forum?id=FDzQQTPqEJ Squared Neural Families: A New Class of Tractable Density Models | OpenReview Flexible models for probability distributions are an essential ingredient in many machine learning tasks. We develop and investigate a new class of probability... a new class of density models squared neural https://elifesciences.org/articles/56261 Training deep neural density estimators to identify mechanistic models of neural dynamics | eLife Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for...