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

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Showing 651–700 of 1394 papers

TitleStatusHype
Sliced Multi-Marginal Optimal Transport—0
Hierarchical correlation reconstruction with missing data, for example for biology-inspired neuron—0
You are out of context!—0
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures—0
Hierarchical Policy Search via Return-Weighted Density Estimation—0
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar—0
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection—0
A strong converse bound for multiple hypothesis testing, with applications to high-dimensional estimation—0
Active Function Cross-Entropy Clustering—0
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables—0
High-dimensional density estimation with tensorizing flow—0
High-probability minimax lower bounds—0
High-Probability Risk Bounds via Sequential Predictors—0
Active Crowd Counting with Limited Supervision—0
Some techniques in density estimation—0
Histogram Meets Topic Model: Density Estimation by Mixture of Histograms—0
Histogram Transform Ensembles for Density Estimation—0
A Statistical Perspective on Coreset Density Estimation—0
Unifying and extending Diffusion Models through PDEs for solving Inverse Problems—0
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior—0
A simple example of Dirichlet process mixture inconsistency for the number of components—0
Estimating a sharp convergence bound for randomized ensembles—0
Space evaluation at the starting point of soccer transitions—0
Hybrid Generative-Discriminative Models for Inverse Materials Design—0
A Semiparametric Bayesian Extreme Value Model Using a Dirichlet Process Mixture of Gamma Densities—0
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges—0
A score-based particle method for homogeneous Landau equation—0
Variational Hyper-Encoding Networks—0
A Fitness-assignment Method for Evolutionary Constrained Multi-objective Optimization—0
Identification of 1H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation—0
Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree-Based Method—0
Image Transformer—0
Imitation with Neural Density Models—0
Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models—0
Sobolev Space Regularised Pre Density Models—0
Implicit Riemannian Concave Potential Maps—0
A sampling-based circuit for optimal decision making—0
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture—0
A Robust Framework for Moving-Object Detection and Vehicular Traffic Density Estimation—0
Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks—0
ARMCMC: ONLINE MODEL PARAMETERS DENSITY ESTIMATION IN BAYESIAN PARADIGM—0
Sparse Density Estimation with Measurement Errors—0
Improving Adversarial Energy-Based Model via Diffusion Process—0
Improving Continuous Normalizing Flows using a Multi-Resolution Framework—0
End-to-End Multi-Object Detection with a Regularized Mixture Model—0
Improving importance estimation in covariate shift for providing accurate prediction error—0
Improving Nonparametric Density Estimation with Tensor Decompositions—0
Sparse projections onto the simplex—0
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining—0
A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines—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