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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–1000 of 1394 papers

TitleStatusHype
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities—0
Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech—0
Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling—0
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows—0
Non-negative Tensor Mixture Learning for Discrete Density Estimation—0
Non-Normal Diffusion Models—0
Non-Parametric Cluster Significance Testing with Reference to a Unimodal Null Distribution—0
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting—0
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable—0
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications—0
The Gaussian Process Density Sampler—0
Nonparametric Density Estimation under Adversarial Losses—0
Nonparametric Density Estimation under Distribution Drift—0
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses—0
Nonparametric estimation of a factorizable density using diffusion models—0
Nonparametric Estimation of Band-limited Probability Density Functions—0
The Gram-Charlier A Series based Extended Rule-of-Thumb for Bandwidth Selection in Univariate and Multivariate Kernel Density Estimations—0
VAE-KRnet and its applications to variational Bayes—0
Nonparametric Method for Data-driven Image Captioning—0
About the Cost of Central Privacy in Density Estimation—0
Low-rank Characteristic Tensor Density Estimation Part I: Foundations—0
Nonparametric Regression under Cluster Sampling—0
Non-parametric Revenue Optimization for Generalized Second Price Auctions—0
Nonparametric Risk Assessment and Density Estimation for Persistence Landscapes—0
Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression—0
Nonparametric spectral density estimation using interactive mechanisms under local differential privacy—0
An Asymptotic CVaR Measure of Risk for Markov Chains—0
Analyzing the Fine Structure of Distributions—0
The Optimal Approximation Factor in Density Estimation—0
The Time-Marginalized Coalescent Prior for Hierarchical Clustering—0
Normalizing Flows on Riemannian Manifolds—0
Analysis of KNN Density Estimation—0
A multi-reconstruction study of breast density estimation using Deep Learning—0
Normalizing Kernels in the Billera-Holmes-Vogtmann Treespace—0
Normal Similarity Network for Generative Modelling—0
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture—0
Multilevel Monte Carlo with Numerical Smoothing for Robust and Efficient Computation of Probabilities and Densities—0
Obfuscation via Information Density Estimation—0
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff—0
Of heading, posture and body rotations derived from data acquired by animal-borne accelerometers, magnetometers and gyrometers, kernel density estimation of the corresponding spherical distributions, and fine-scale movement reconstruction—0
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification—0
On Compression of Unsupervised Neural Nets by Pruning Weak Connections—0
Weakly supervised segment annotation via expectation kernel density estimation—0
A Multi-model Combination Approach for Probabilistic Wind Power Forecasting—0
Topological Feature Search Method for Multichannel EEG: Application in ADHD classification—0
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning—0
One-Shot Generalization in Deep Generative Models—0
TorchDyn: A Neural Differential Equations Library—0
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models—0
How Well Generative Adversarial Networks Learn Distributions—0
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All datasetsCIFAR-10MNISTUCI POWERBSDS300ImageNet 32x32UCI GASUCI HEPMASSUCI MINIBOONEOMNIGLOTCaltech-101FreyfacesCelebA-HQ 256x256

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MAFLog-likelihood (nats)3,049—Unverified
2DDPMNLL (bits/dim)3.69—Unverified
3MRCNFNLL (bits/dim)3.54—Unverified
4FFJORDNLL (bits/dim)3.4—Unverified
5RNODENLL (bits/dim)3.38—Unverified
6Pixel CNNNLL (bits/dim)3.03—Unverified
7score SDENLL (bits/dim)2.99—Unverified
8Flow matchingNLL (bits/dim)2.99—Unverified
9Pixel CNN ++NLL (bits/dim)2.92—Unverified
10Image TransformerNLL (bits/dim)2.9—Unverified
#ModelMetricClaimedVerifiedStatus
1DVP-VAENLL77.1—Unverified
2PaddingFlowMMD-L211—Unverified
3FFJORDNLL (bits/dim)0.99—Unverified
4RNODENLL (bits/dim)0.97—Unverified
5IdentityNLL (bits/dim)0.13—Unverified
6MADE MoGLog-likelihood (nats)-1,038.5—Unverified
#ModelMetricClaimedVerifiedStatus
1nMDMALog-likelihood1.78—Unverified
2DDELog-likelihood0.97—Unverified
3B-NAFLog-likelihood0.61—Unverified
4FFJORDLog-likelihood0.46—Unverified
5MADE MoGLog-likelihood0.4—Unverified
6PaddingFlowCD0.14—Unverified
#ModelMetricClaimedVerifiedStatus
1TANLog-likelihood159.8—Unverified
2FFJORDLog-likelihood157.4—Unverified
3B-NAFLog-likelihood157.36—Unverified
4MADE MoGLog-likelihood153.71—Unverified
5PaddingFlowCD0.5—Unverified
#ModelMetricClaimedVerifiedStatus
1GlowNLL (bits/dim)4.09—Unverified
2Image TransformerNLL (bits/dim)3.77—Unverified
3VDMNLL (bits/dim)3.72—Unverified
4i-DODENLL (bits/dim)3.69—Unverified
5MuLANNLL (bits/dim)3.67—Unverified
#ModelMetricClaimedVerifiedStatus
1B-NAFLog-likelihood12.06—Unverified
2DDELog-likelihood9.73—Unverified
3FFJORDLog-likelihood8.59—Unverified
4MADE MoGLog-likelihood8.47—Unverified
5PaddingFlowCD0.89—Unverified
#ModelMetricClaimedVerifiedStatus
1PaddingFlowCD13.8—Unverified
2DDELog-likelihood-11.3—Unverified
3B-NAFLog-likelihood-14.71—Unverified
4FFJORDLog-likelihood-14.92—Unverified
5MADE MoGLog-likelihood-15.15—Unverified
#ModelMetricClaimedVerifiedStatus
1PaddingFlowCD24.5—Unverified
2DDELog-likelihood-6.94—Unverified
3B-NAFLog-likelihood-8.95—Unverified
4FFJORDLog-likelihood-10.43—Unverified
5MADE MoGLog-likelihood-12.27—Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO98.33—Unverified
2B-NAFNegative ELBO94.83—Unverified
3DVp-VAENLL89.07—Unverified
4PaddingFlowMMD-L220.3—Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO104.03—Unverified
2B-NAFNegative ELBO94.91—Unverified
3PaddingFlowMMD-L217.9—Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO4.39—Unverified
2B-NAFNegative ELBO4.33—Unverified
3PaddingFlowMMD-L20.62—Unverified
#ModelMetricClaimedVerifiedStatus
1RNODELog-likelihood1.04—Unverified
#ModelMetricClaimedVerifiedStatus
1MAFLog-likelihood5,872—Unverified
#ModelMetricClaimedVerifiedStatus
1RNODELog-likelihood3.83—Unverified