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 251300 of 1394 papers

TitleStatusHype
Anomaly Detection with Density EstimationCode0
Graphite: Iterative Generative Modeling of GraphsCode0
Hierarchical clustering with maximum density paths and mixture modelsCode0
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionCode0
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density EstimationCode0
Meta-Amortized Variational Inference and LearningCode0
Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect ClassificationCode0
Bivariate Beta-LSTMCode0
Generative Model with Dynamic Linear FlowCode0
Binned semiparametric Bayesian networksCode0
Generalizable Pose Estimation Using Implicit Scene RepresentationsCode0
Generalized Distribution Prediction for Asset ReturnsCode0
Gaussian map predictions for 3D surface feature localisation and countingCode0
Bias and Generalization in Deep Generative Models: An Empirical StudyCode0
Beyond the Benchmark: Detecting Diverse Anomalies in VideosCode0
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flowsCode0
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural NetworksCode0
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and TrackingCode0
Beyond Classification: Definition and Density-based Estimation of Calibration in Object DetectionCode0
Flows on convex polytopesCode0
Gaussian Gated Linear NetworksCode0
Flexible Tails for Normalizing FlowsCode0
FloMo: Tractable Motion Prediction with Normalizing FlowsCode0
Fast Private Kernel Density Estimation via Locality Sensitive QuantizationCode0
Bayesian methods for solving estimation and forecasting problems in the high-frequency trading environmentCode0
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive LearningCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
Fast Kernel Density Estimation with Density Matrices and Random Fourier FeaturesCode0
Fast Dynamic Routing Based on Weighted Kernel Density EstimationCode0
A New Index for Clustering Evaluation Based on Density EstimationCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
Fast Nonparametric Conditional Density EstimationCode0
Flowification: Everything is a Normalizing FlowCode0
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State ObservationsCode0
Exponential Family Model-Based Reinforcement Learning via Score MatchingCode0
Average Causal Effect Estimation in DAGs with Hidden Variables: Extensions of Back-Door and Front-Door CriteriaCode0
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
Extremely Randomized CNets for Multi-label ClassificationCode0
A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excessCode0
EX2: Exploration with Exemplar Models for Deep Reinforcement LearningCode0
Autoregressive Energy MachinesCode0
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparisonCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
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
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing FlowsCode0
AutoGMM: Automatic and Hierarchical Gaussian Mixture Modeling in PythonCode0
Empirical non-parametric estimation of the Fisher InformationCode0
Efficient and principled score estimation with Nyström kernel exponential familiesCode0
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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