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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 1251–1300 of 1394 papers

TitleStatusHype
A Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data—0
Deep Data Density Estimation through Donsker-Varadhan Representation—0
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space—0
Deep Diffeomorphic Normalizing Flows—0
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance—0
Breaking the curse of dimensionality in structured density estimation—0
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation—0
Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation—0
Deep learning based landslide density estimation on SAR data for rapid response—0
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning—0
Deep PDF: Probabilistic Surface Optimization and Density Estimation—0
Deep Photon Mapping—0
Deep Spatial Regression Model for Image Crowd Counting—0
Deep Unfolding with Kernel-based Quantization in MIMO Detection—0
Bounds all around: training energy-based models with bidirectional bounds—0
Bounded rationality in structured density estimation—0
Bounded rationality in structured density estimation—0
Denoising Score Matching with Random Fourier Features—0
Dense Associative Memory with Epanechnikov Energy—0
Bounded KRnet and its applications to density estimation and approximation—0
Density—0
Two-stage Sampled Learning Theory on Distributions—0
Density-Based Bonuses on Learned Representations for Reward-Free Exploration in Deep Reinforcement Learning—0
Density-based Denoising of Point Cloud—0
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary—0
Density Descent for Diversity Optimization—0
Robust Low Rank Kernel Embeddings of Multivariate Distributions—0
Unpriortized Autoencoder For Image Generation—0
Boosted Density Estimation Remastered—0
Density Estimation for Conservative Q-Learning—0
Density Estimation for Entry Guidance Problems using Deep Learning—0
Density Estimation for Geolocation via Convolutional Mixture Density Network—0
Density estimation for shift-invariant multidimensional distributions—0
Robust modal regression with direct log-density derivative estimation—0
Density estimation from unweighted k-nearest neighbor graphs: a roadmap—0
Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions—0
Density estimation in representation space to predict model uncertainty—0
Density Estimation using Entropy Maximization for Semi-continuous Data—0
Bona fide Riesz projections for density estimation—0
Density Estimation via Bayesian Inference Engines—0
Blindness of score-based methods to isolated components and mixing proportions—0
Density Estimation via Discrepancy—0
Density Estimation via Discrepancy Based Adaptive Sequential Partition—0
Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences—0
Density estimation via mixture discrepancy and moments—0
Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates—0
Density Estimation with Distribution Element Trees—0
Density estimation with LLMs: a geometric investigation of in-context learning trajectories—0
Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective—0
Auditing Differential Privacy Guarantees Using Density Estimation—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