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Density Estimation

64 papers with code · Methodology

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The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 Nov 2016tensorflow/models

The essence of the trick is to refactor each stochastic node into a differentiable function of its parameters and a random variable with fixed distribution.

DENSITY ESTIMATION STRUCTURED PREDICTION

Density estimation using Real NVP

27 May 2016tensorflow/models

Unsupervised learning of probabilistic models is a central yet challenging problem in machine learning.

#12 best model for Image Generation on CIFAR-10 (NLL Test metric)

DENSITY ESTIMATION IMAGE GENERATION

Learning to Prune in Metric and Non-Metric Spaces

NeurIPS 2013 searchivarius/NonMetricSpaceLib

Our focus is on approximate nearest neighbor retrieval in metric and non-metric spaces.

DENSITY ESTIMATION

Masked Autoregressive Flow for Density Estimation

NeurIPS 2017 ikostrikov/pytorch-flows

By constructing a stack of autoregressive models, each modelling the random numbers of the next model in the stack, we obtain a type of normalizing flow suitable for density estimation, which we call Masked Autoregressive Flow.

DENSITY ESTIMATION

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

ICLR 2019 rtqichen/ffjord

The result is a continuous-time invertible generative model with unbiased density estimation and one-pass sampling, while allowing unrestricted neural network architectures.

DENSITY ESTIMATION IMAGE GENERATION

PointConv: Deep Convolutional Networks on 3D Point Clouds

CVPR 2019 DylanWusee/pointconv

Besides, our experiments converting CIFAR-10 into a point cloud showed that networks built on PointConv can match the performance of convolutional networks in 2D images of a similar structure.

3D PART SEGMENTATION DENSITY ESTIMATION

Importance Weighted Autoencoders

1 Sep 2015yburda/iwae

The variational autoencoder (VAE; Kingma, Welling (2014)) is a recently proposed generative model pairing a top-down generative network with a bottom-up recognition network which approximates posterior inference.

DENSITY ESTIMATION

Invertible Residual Networks

2 Nov 2018jhjacobsen/invertible-resnet

We show that standard ResNet architectures can be made invertible, allowing the same model to be used for classification, density estimation, and generation.

DENSITY ESTIMATION

Density-aware Single Image De-raining using a Multi-stream Dense Network

CVPR 2018 hezhangsprinter/DID-MDN

In addition, an ablation study is performed to demonstrate the improvements obtained by different modules in the proposed method.

DENSITY ESTIMATION

Point-Set Registration: Coherent Point Drift

15 May 2009siavashk/pycpd

The goal of point set registration is to assign correspondences between two sets of points and to recover the transformation that maps one point set to the other.

DENSITY ESTIMATION