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Normalising Flows

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Showing 26–49 of 49 papers

TitleStatusHype
Variational Gibbs Inference for Statistical Model Estimation from Incomplete DataCode0
Localised Generative Flows—0
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning—0
Bayesian Exploration Networks—0
Testable Likelihoods for Beyond-the-Standard Model Fits—0
MixerFlow: MLP-Mixer meets Normalising Flows—0
Gaussian Process Latent Variable Flows for Massively Missing Data—0
Expressive, Variable, and Controllable Duration Modelling in TTS—0
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows—0
Copula Flows for Synthetic Data Generation—0
On the relationship between Normalising Flows and Variational- and Denoising Autoencoders—0
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series—0
Parallelised Diffeomorphic Sampling-based Motion Planning—0
Text-free non-parallel many-to-many voice conversion using normalising flows—0
Gradient estimators for normalising flows—0
Implicit Riemannian Concave Potential Maps—0
Quinoa: a Q-function You Infer Normalized Over Actions—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Kernelised Normalising Flows—0
Latent Transformations for Discrete-Data Normalising Flows—0
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows—0
Conditional Density Estimation with Bayesian Normalising Flows—0
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy—0
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation—0
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