SOTAVerified

Density Estimation

The goal of Density Estimation is to give an accurate description of the underlying probabilistic density distribution of an observable data set with unknown density.

Source: Contrastive Predictive Coding Based Feature for Automatic Speaker Verification

Papers

Showing 13511394 of 1394 papers

TitleStatusHype
A Deep and Tractable Density Estimator0
Learning Distributions over Logical Forms for Referring Expression Generation0
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy0
Inconsistency of Pitman-Yor process mixtures for the number of components0
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation0
On-line Bayesian parameter estimation in general non-linear state-space models: A tutorial and new results0
Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost0
RNADE: The real-valued neural autoregressive density-estimator0
Fully-Connected CRFs with Non-Parametric Pairwise Potential0
Kernel Null Space Methods for Novelty Detection0
Cumulative Attribute Space for Age and Crowd Density Estimation0
Robust Feature Matching with Alternate Hough and Inverted Hough Transforms0
Efficient Density Estimation via Piecewise Polynomial Approximation0
Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances0
Symmetry-Aware Marginal Density Estimation0
ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures0
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture0
A Semiparametric Bayesian Extreme Value Model Using a Dirichlet Process Mixture of Gamma Densities0
Estimating a sharp convergence bound for randomized ensembles0
Understanding Boltzmann Machine and Deep Learning via A Confident Information First Principle0
Probabilistic Low-Rank Subspace Clustering0
Persistent Homology for Learning Densities with Bounded Support0
The Time-Marginalized Coalescent Prior for Hierarchical Clustering0
Gradient density estimation in arbitrary finite dimensions using the method of stationary phase0
Laplace approximation for logistic Gaussian process density estimation and regressionCode0
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation0
Representation Learning: A Review and New PerspectivesCode1
Fast Nonparametric Conditional Density EstimationCode0
Warped Mixtures for Nonparametric Cluster ShapesCode0
Sparse projections onto the simplex0
Scalable Training of Mixture Models via Coresets0
A Non-Parametric Approach to Dynamic Programming0
Learning k-Modal Distributions via Testing0
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable0
Complete gradient clustering algorithm for features analysis of x-ray images0
Linear-time Algorithms for Pairwise Statistical Problems0
Submanifold density estimation0
Efficient Bregman Range Search0
Point-Set Registration: Coherent Point DriftCode1
Estimation of Information Theoretic Measures for Continuous Random Variables0
Performance analysis for L\_2 kernel classification0
Near-minimax recursive density estimation on the binary hypercube0
The Gaussian Process Density Sampler0
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MAFLog-likelihood (nats)3,049Unverified
2DDPMNLL (bits/dim)3.69Unverified
3MRCNFNLL (bits/dim)3.54Unverified
4FFJORDNLL (bits/dim)3.4Unverified
5RNODENLL (bits/dim)3.38Unverified
6Pixel CNNNLL (bits/dim)3.03Unverified
7score SDENLL (bits/dim)2.99Unverified
8Flow matchingNLL (bits/dim)2.99Unverified
9Pixel CNN ++NLL (bits/dim)2.92Unverified
10Image TransformerNLL (bits/dim)2.9Unverified
#ModelMetricClaimedVerifiedStatus
1DVP-VAENLL77.1Unverified
2PaddingFlowMMD-L211Unverified
3FFJORDNLL (bits/dim)0.99Unverified
4RNODENLL (bits/dim)0.97Unverified
5IdentityNLL (bits/dim)0.13Unverified
6MADE MoGLog-likelihood (nats)-1,038.5Unverified
#ModelMetricClaimedVerifiedStatus
1nMDMALog-likelihood1.78Unverified
2DDELog-likelihood0.97Unverified
3B-NAFLog-likelihood0.61Unverified
4FFJORDLog-likelihood0.46Unverified
5MADE MoGLog-likelihood0.4Unverified
6PaddingFlowCD0.14Unverified
#ModelMetricClaimedVerifiedStatus
1TANLog-likelihood159.8Unverified
2FFJORDLog-likelihood157.4Unverified
3B-NAFLog-likelihood157.36Unverified
4MADE MoGLog-likelihood153.71Unverified
5PaddingFlowCD0.5Unverified
#ModelMetricClaimedVerifiedStatus
1GlowNLL (bits/dim)4.09Unverified
2Image TransformerNLL (bits/dim)3.77Unverified
3VDMNLL (bits/dim)3.72Unverified
4i-DODENLL (bits/dim)3.69Unverified
5MuLANNLL (bits/dim)3.67Unverified
#ModelMetricClaimedVerifiedStatus
1B-NAFLog-likelihood12.06Unverified
2DDELog-likelihood9.73Unverified
3FFJORDLog-likelihood8.59Unverified
4MADE MoGLog-likelihood8.47Unverified
5PaddingFlowCD0.89Unverified
#ModelMetricClaimedVerifiedStatus
1PaddingFlowCD13.8Unverified
2DDELog-likelihood-11.3Unverified
3B-NAFLog-likelihood-14.71Unverified
4FFJORDLog-likelihood-14.92Unverified
5MADE MoGLog-likelihood-15.15Unverified
#ModelMetricClaimedVerifiedStatus
1PaddingFlowCD24.5Unverified
2DDELog-likelihood-6.94Unverified
3B-NAFLog-likelihood-8.95Unverified
4FFJORDLog-likelihood-10.43Unverified
5MADE MoGLog-likelihood-12.27Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO98.33Unverified
2B-NAFNegative ELBO94.83Unverified
3DVp-VAENLL89.07Unverified
4PaddingFlowMMD-L220.3Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO104.03Unverified
2B-NAFNegative ELBO94.91Unverified
3PaddingFlowMMD-L217.9Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO4.39Unverified
2B-NAFNegative ELBO4.33Unverified
3PaddingFlowMMD-L20.62Unverified
#ModelMetricClaimedVerifiedStatus
1RNODELog-likelihood1.04Unverified
#ModelMetricClaimedVerifiedStatus
1MAFLog-likelihood5,872Unverified
#ModelMetricClaimedVerifiedStatus
1RNODELog-likelihood3.83Unverified