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Normalising Flows

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Showing 26–49 of 49 papers

TitleStatusHype
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy—0
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows—0
Expressive, Variable, and Controllable Duration Modelling in TTS—0
Text-free non-parallel many-to-many voice conversion using normalising flows—0
Gradient estimators for normalising flows—0
Variational Gibbs Inference for Statistical Model Estimation from Incomplete DataCode0
Bootstrap Your FlowCode0
Sinusoidal Flow: A Fast Invertible Autoregressive FlowCode0
Implicit Riemannian Concave Potential Maps—0
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows—0
Parallelised Diffeomorphic Sampling-based Motion Planning—0
Copula Flows for Synthetic Data Generation—0
Gaussian Process Latent Variable Flows for Massively Missing Data—0
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising FlowsCode0
Latent Transformations for Discrete-Data Normalising Flows—0
Woodbury Transformations for Deep Generative FlowsCode0
Quinoa: a Q-function You Infer Normalized Over Actions—0
The Neural Moving Average Model for Scalable Variational Inference of State Space ModelsCode0
Relaxing Bijectivity Constraints with Continuously Indexed Normalising FlowsCode0
Localised Generative Flows—0
Block Neural Autoregressive FlowCode0
On the relationship between Normalising Flows and Variational- and Denoising Autoencoders—0
Conditional Density Estimation with Bayesian Normalising Flows—0
Implicit Weight Uncertainty in Neural NetworksCode0
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