Showing 1–20 of 69 results
/ Date/ Name
Aug 14, 2018Analyzing Inverse Problems with Invertible Neural NetworksDec 1, 2020Measuring Young Stars in Space and Time -- II. The Pre-Main-Sequence Stellar Content of N44Jan 26, 2021Benchmarking Invertible Architectures on Inverse ProblemsDec 17, 2020Measuring QCD Splittings with Invertible NetworksOct 1, 2020OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in GermanyAug 17, 2010Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0xDec 15, 2023Learning Distributions on Manifolds with Free-Form FlowsJul 12, 2024Learning Distances from Data with Normalizing Flows and Score MatchingNov 10, 2020Invertible Neural Networks for Uncertainty Quantification in Photoacoustic ImagingDec 1, 2020Measuring Young Stars in Space and Time -- I. The Photometric Catalog and Extinction Properties of N44Dec 9, 2023Consistency Models for Scalable and Fast Simulation-Based InferenceMay 25, 2019HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian InferenceMay 5, 2021Conditional Invertible Neural Networks for Diverse Image-to-Image TranslationApr 22, 2020Amortized Bayesian model comparison with evidential deep learningOct 18, 2021Inference of cosmic-ray source properties by conditional invertible neural networksJul 16, 2020Stellar Parameter Determination from Photometry using Invertible Neural NetworksJun 23, 2023On the Convergence Rate of Gaussianization with Random RotationsAug 4, 2023A Review of Change of Variable Formulas for Generative ModelingFeb 9, 2024On the Universality of Volume-Preserving and Coupling-Based Normalizing FlowsMar 17, 2023Finding Competence Regions in Domain Generalization