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Normalising Flows

Papers

Showing 125 of 49 papers

TitleStatusHype
Deep Structural Causal Models for Tractable Counterfactual InferenceCode1
NEnv: Neural Environment Maps for Global IlluminationCode1
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter ComplexityCode1
VFlow: More Expressive Generative Flows with Variational Data AugmentationCode1
MoGlow: Probabilistic and controllable motion synthesis using normalising flowsCode1
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution EstimationCode1
Robust model training and generalisation with Studentising flowsCode1
OverFlow: Putting flows on top of neural transducers for better TTSCode1
Normalizing Flow-based Differentiable Particle FiltersCode1
Style-Controllable Speech-Driven Gesture Synthesis Using Normalising FlowsCode1
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
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