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 401–450 of 1394 papers

TitleStatusHype
Fast Kernel Density Estimation with Density Matrices and Random Fourier FeaturesCode0
Context-specific kernel-based hidden Markov model for time series analysisCode0
A Nonparametric Off-Policy Policy GradientCode0
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density ApproachCode0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier FeaturesCode0
Fast Nonparametric Conditional Density EstimationCode0
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive LearningCode0
Asymmetric Variational AutoencodersCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Detecting Adversarial Samples from ArtifactsCode0
Fast Dynamic Routing Based on Weighted Kernel Density EstimationCode0
Detection of Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density EstimationCode0
Structured Recognition for Generative Models with Explaining AwayCode0
Extremely Randomized CNets for Multi-label ClassificationCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
Persistently Trained, Diffusion-assisted Energy-based ModelsCode0
Consistent and Flexible Selectivity Estimation for High-Dimensional DataCode0
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State ObservationsCode0
Accelerating Continuous Normalizing Flow with Trajectory Polynomial RegularizationCode0
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density EstimationCode0
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement LearningCode0
Exponential Family Model-Based Reinforcement Learning via Score MatchingCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
A generative flow for conditional sampling via optimal transportCode0
Posterior Matching for Arbitrary ConditioningCode0
Flowification: Everything is a Normalizing FlowCode0
Diffusion Generative Modelling for Divide-and-Conquer MCMCCode0
Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive FlowCode0
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparisonCode0
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density EstimationCode0
Estimating Probability Densities with Transformer and Denoising DiffusionCode0
Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)Code0
Kernel Density Matrices for Probabilistic Deep LearningCode0
Dirac Delta Regression: Conditional Density Estimation with Clinical TrialsCode0
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifoldsCode0
EX2: Exploration with Exemplar Models for Deep Reinforcement LearningCode0
Estimating Density Models with Truncation Boundaries using Score MatchingCode0
Conditional Image Generation with PixelCNN DecodersCode0
Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional HistogramsCode0
Reflectance-Oriented Probabilistic Equalization for Image EnhancementCode0
Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray ImageCode0
Entropy-Informed Weighting Channel Normalizing FlowCode0
Estimating Feature-Label Dependence Using Gini Distance StatisticsCode0
Conditional Density Estimation with Neural Networks: Best Practices and BenchmarksCode0
Conditional Density Estimation with Histogram TreesCode0
RFCDE: Random Forests for Conditional Density EstimationCode0
Causal Discovery with Flow-based Conditional Density EstimationCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
Show:102550
← PrevPage 9 of 28Next →

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