SOTAVerified

Normalising Flows

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–49 of 49 papers

TitleStatusHype
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter ComplexityCode1
Normalizing Flow-based Differentiable Particle FiltersCode1
OverFlow: Putting flows on top of neural transducers for better TTSCode1
Robust model training and generalisation with Studentising flowsCode1
Style-Controllable Speech-Driven Gesture Synthesis Using Normalising FlowsCode1
VFlow: More Expressive Generative Flows with Variational Data AugmentationCode1
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution EstimationCode1
Deep Structural Causal Models for Tractable Counterfactual InferenceCode1
MoGlow: Probabilistic and controllable motion synthesis using normalising flowsCode1
NEnv: Neural Environment Maps for Global IlluminationCode1
Bayesian Exploration Networks—0
Testable Likelihoods for Beyond-the-Standard Model Fits—0
Text-free non-parallel many-to-many voice conversion using normalising flows—0
Gradient estimators for normalising flows—0
MixerFlow: MLP-Mixer meets Normalising Flows—0
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy—0
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows—0
Implicit Riemannian Concave Potential Maps—0
Conditional Density Estimation with Bayesian Normalising Flows—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
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series—0
Copula Flows for Synthetic Data Generation—0
On the relationship between Normalising Flows and Variational- and Denoising Autoencoders—0
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation—0
Parallelised Diffeomorphic Sampling-based Motion Planning—0
Expressive, Variable, and Controllable Duration Modelling in TTS—0
Quinoa: a Q-function You Infer Normalized Over Actions—0
Localised Generative Flows—0
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning—0
Gaussian Process Latent Variable Flows for Massively Missing Data—0
Woodbury Transformations for Deep Generative FlowsCode0
Block Neural Autoregressive FlowCode0
Bootstrap Your FlowCode0
Communicating Likelihoods with Normalising FlowsCode0
Decorrelation using Optimal TransportCode0
Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return DataCode0
Implicit Weight Uncertainty in Neural NetworksCode0
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising FlowsCode0
Linear combinations of latents in generative models: subspaces and beyondCode0
Relaxing Bijectivity Constraints with Continuously Indexed Normalising FlowsCode0
Marginal Causal Flows for Validation and InferenceCode0
emuflow: Normalising Flows for Joint Cosmological AnalysisCode0
Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive FlowCode0
The Neural Moving Average Model for Scalable Variational Inference of State Space ModelsCode0
Sinusoidal Flow: A Fast Invertible Autoregressive FlowCode0
Variational Gibbs Inference for Statistical Model Estimation from Incomplete DataCode0
Show:102550

No leaderboard results yet.