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 801–850 of 1394 papers

TitleStatusHype
Video Anomaly Detection by Estimating Likelihood of RepresentationsCode0
A Fair Classifier Using Kernel Density Estimation—0
Adversarial Attacks on Deep Graph Matching—0
Estimation of Skill Distribution from a Tournament—0
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring—0
Score-Based Generative Modeling through Stochastic Differential EquationsCode1
Generative Video Compression as Hierarchical Variational Inference—0
Computational Challenges in Non-parametric Prediction of Bradycardia in Preterm Infants—0
C-Learning: Learning to Achieve Goals via Recursive Classification—0
Density Estimation using Entropy Maximization for Semi-continuous Data—0
An exact kernel framework for spatio-temporal dynamics—0
Solving high-dimensional parameter inference: marginal posterior densities & Moment NetworksCode1
A Statistical Perspective on Coreset Density Estimation—0
Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women—0
Contrastive Topographic Models: Energy-based density models applied to the understanding of sensory coding and cortical topography—0
Answer Identification in Collaborative Organizational Group Chat—0
Specialization in Hierarchical Learning Systems—0
Autoregressive Score Matching—0
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference—0
Conditional Density Estimation via Weighted Logistic Regressions—0
Imitation with Neural Density Models—0
Verifying the Causes of Adversarial Examples—0
Hierarchical Autoregressive Modeling for Neural Video CompressionCode1
Empirical likelihood and uniform convergence rates for dyadic kernel density estimation—0
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features—0
Gaussianizing the Earth: Multidimensional Information Measures for Earth Data AnalysisCode1
Automating Inference of Binary Microlensing Events with Neural Density Estimation—0
Set Prediction without Imposing Structure as Conditional Density EstimationCode0
Information Theory Measures via Multidimensional GaussianizationCode1
Improving Nonparametric Density Estimation with Tensor Decompositions—0
Self-Supervised Variational Auto-EncodersCode1
Analysis of KNN Density Estimation—0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors—0
On the representation and learning of monotone triangular transport mapsCode0
TorchDyn: A Neural Differential Equations Library—0
DEAP Cache: Deep Eviction Admission and Prefetching for CacheCode1
Combined approach for automatic and robust calculation of dominant frequency of electrogastrogram—0
Learning a Deep Part-based Representation by Preserving Data Distribution—0
Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid—0
Density Estimation via Bayesian Inference Engines—0
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Distributed Density Filtering for Large-Scale Systems Using Mean-Filed Models—0
On the estimation of spatial density from mobile network operator dataCode0
Inference for high-dimensional exchangeable arrays—0
Convergence Rates of Empirical Bayes Posterior Distributions: A Variational Perspective—0
Nonparametric Density Estimation from Markov ChainsCode0
Probabilistic Dipole Inversion for Adaptive Quantitative Susceptibility Mapping—0
Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage—0
Variational Mixture of Normalizing Flows—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