Showing 1–17 of 17 results
/ Date/ Name
Jun 2, 2020Bayesian Neural NetworksFeb 10, 2018Automatic physical inference with information maximising neural networksMar 25, 2019Painting halos from cosmic density fields of dark matter with physically motivated neural networksFeb 1, 2021Catalog-free modeling of galaxy types in deep images: Massive dimensional reduction with neural networksJul 11, 2022The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using CataloguesJun 23, 2016Deep Recurrent Neural Networks for Supernovae ClassificationFeb 28, 2019Fast likelihood-free cosmology with neural density estimators and active learningMar 17, 2017Planck confronts large scale structure: methods to quantify discordanceMar 3, 2016CMB constraints on cosmic strings and superstringsJan 15, 2020Super-resolution emulator of cosmological simulations using deep physical modelsJul 15, 2021Lossless, Scalable Implicit Likelihood Inference for Cosmological FieldsSep 13, 2019Neural physical engines for inferring the halo mass distribution functionJul 26, 2024Hybrid summary statistics: neural weak lensing inference beyond the power spectrumMar 18, 2020Detecting outliers in astronomical images with deep generative networksSep 11, 2019The Quijote simulationsSep 6, 2018Towards online triggering for the radio detection of air showers using deep neural networksSep 9, 2014Tension between the power spectrum of density perturbations measured on large and small scales