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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 901–950 of 1394 papers

TitleStatusHype
Convergence Rates of Empirical Bayes Posterior Distributions: A Variational Perspective—0
Probabilistic Dipole Inversion for Adaptive Quantitative Susceptibility Mapping—0
Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage—0
Variational Mixture of Normalizing Flows—0
Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data—0
Low-rank Characteristic Tensor Density Estimation Part I: Foundations—0
A Discriminative Technique for Multiple-Source Adaptation—0
Blindness of score-based methods to isolated components and mixing proportions—0
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting—0
Lie PCA: Density estimation for symmetric manifolds—0
COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning—0
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships—0
A Comparative study of Artificial Neural Networks Using Reinforcement learning and Multidimensional Bayesian Classification Using Parzen Density Estimation for Identification of GC-EIMS Spectra of Partially Methylated Alditol Acetates—0
Identification of 1H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation—0
Learning the Solution Manifold in Optimization and Its Application in Motion Planning—0
Interactive Inference under Information Constraints—0
Interpretable Fault Detection using Projections of Mutual Information MatrixCode0
Strudel: Learning Structured-Decomposable Probabilistic CircuitsCode0
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets—0
Optimal Coreset for Gaussian Kernel Density Estimation—0
Strong Uniform Consistency with Rates for Kernel Density Estimators with General Kernels on Manifolds—0
Active Crowd Counting with Limited Supervision—0
Variational Inference with Continuously-Indexed Normalizing FlowsCode0
Variable Skipping for Autoregressive Range Density EstimationCode0
Statistical post-processing of wind speed forecasts using convolutional neural networks—0
Non-parametric Models for Non-negative FunctionsCode0
Efficient computation and analysis of distributional Shapley values—0
Robust Kernel Density Estimation with Median-of-Means principleCode0
VAE-KRnet and its applications to variational Bayes—0
Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation—0
Maximum Multiscale Entropy and Neural Network Regularization—0
Laplacian Mixture Model Point Based Registration—0
Transporting Robotic Swarms via Mean-Field Feedback Control—0
Task-agnostic Out-of-Distribution Detection Using Kernel Density EstimationCode0
A One-Pass Private Sketch for Most Machine Learning Tasks—0
Estimation of Skill Distributions—0
Gaussian Gated Linear NetworksCode0
High-Dimensional Non-Parametric Density Estimation in Mixed Smooth Sobolev Spaces—0
Handling missing data in model-based clustering—0
Plots of the cumulative differences between observed and expected values of ordered Bernoulli variates—0
Unsupervised Discretization by Two-dimensional MDL-based HistogramCode0
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flowsCode0
Consistent and Flexible Selectivity Estimation for High-Dimensional DataCode0
Variational Hyper-Encoding Networks—0
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours—0
A Triangular Network For Density EstimationCode0
A new effective and efficient measure for outlying aspect mining—0
Deep Photon Mapping—0
Robust Density Estimation under Besov IPM Losses—0
Anomaly Detection in Trajectory Data with Normalizing Flows—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