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 351400 of 1394 papers

TitleStatusHype
Gaussian Mixture Reduction with Composite Transportation DivergenceCode0
Converting High-Dimensional Regression to High-Dimensional Conditional Density EstimationCode0
DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled LearningCode0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly DetectionCode0
A Deep Learning Approach to Probabilistic Forecasting of WeatherCode0
Flexible Tails for Normalizing FlowsCode0
Beyond Classification: Definition and Density-based Estimation of Calibration in Object DetectionCode0
Deep Density DestructorsCode0
Fast Kernel Density Estimation with Density Matrices and Random Fourier FeaturesCode0
Learning and Generalization in Overparameterized Normalizing FlowsCode0
Fast Nonparametric Conditional Density EstimationCode0
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural NetworksCode0
Beyond the Benchmark: Detecting Diverse Anomalies in VideosCode0
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous MatricesCode0
Deep Learning for MusicCode0
Bias and Generalization in Deep Generative Models: An Empirical StudyCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian OptimizationCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
Fast Private Kernel Density Estimation via Locality Sensitive QuantizationCode0
FloMo: Tractable Motion Prediction with Normalizing FlowsCode0
On the representation and learning of monotone triangular transport mapsCode0
Extremely Randomized CNets for Multi-label ClassificationCode0
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State ObservationsCode0
Exponential Family Model-Based Reinforcement Learning via Score MatchingCode0
Expected Information Maximization: Using the I-Projection for Mixture Density EstimationCode0
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement LearningCode0
Binned semiparametric Bayesian networksCode0
A Deep and Tractable Density EstimatorCode0
Fast Dynamic Routing Based on Weighted Kernel Density EstimationCode0
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive LearningCode0
Density Distribution-based Learning Framework for Addressing Online Continual Learning ChallengesCode0
Estimating Feature-Label Dependence Using Gini Distance StatisticsCode0
Estimating Probability Densities with Transformer and Denoising DiffusionCode0
Smoothing Structured Decomposable CircuitsCode0
MixEst: An Estimation Toolbox for Mixture ModelsCode0
Block Neural Autoregressive FlowCode0
Anomaly Detection with Variance Stabilized Density EstimationCode0
A Triangular Network For Density EstimationCode0
BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learningCode0
Estimating Density Models with Truncation Boundaries using Score MatchingCode0
Empirical non-parametric estimation of the Fisher InformationCode0
Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray ImageCode0
Context-specific kernel-based hidden Markov model for time series analysisCode0
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributionsCode0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
Boosted Generative ModelsCode0
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural NetworksCode0
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier FeaturesCode0
Entropy-Informed Weighting Channel Normalizing FlowCode0
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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
7Flow matchingNLL (bits/dim)2.99Unverified
8score SDENLL (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