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 1251–1300 of 1394 papers

TitleStatusHype
Normalizing Flows for Knockoff-free Controlled Feature SelectionCode0
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained RepresentationsCode0
Density Distribution-based Learning Framework for Addressing Online Continual Learning ChallengesCode0
Smoothing Structured Decomposable CircuitsCode0
Kernel-Based Anomaly Detection Using Generalized Hyperbolic ProcessesCode0
Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density FilterCode0
Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological InferenceCode0
Kernel Density Bayesian Inverse Reinforcement LearningCode0
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd CountingCode0
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback--Leibler DivergenceCode0
Unification of field theory and maximum entropy methods for learning probability densitiesCode0
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density ApproachCode0
Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax TheoryCode0
Variable Skipping for Autoregressive Range Density EstimationCode0
Statistical Inference using the Morse-Smale ComplexCode0
Uniform Transformation: Refining Latent Representation in Variational AutoencodersCode0
Your copula is a classifier in disguise: classification-based copula density estimationCode0
Variational Autoencoder with Implicit Optimal PriorsCode0
Implementing a Hierarchical Deep Learning Approach for Simulating Multi-Level Auction DataCode0
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based SignaturesCode0
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative ModelsCode0
Density-aware Single Image De-raining using a Multi-stream Dense NetworkCode0
Minimax Optimal Algorithms with Fixed-k-Nearest NeighborsCode0
Warped Mixtures for Nonparametric Cluster ShapesCode0
On Fenchel Mini-Max LearningCode0
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density EstimationCode0
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential EquationsCode0
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement LearningCode0
Deep Learning for MusicCode0
Laplace approximation for logistic Gaussian process density estimation and regressionCode0
Robust Kernel Density Estimation with Median-of-Means principleCode0
Robust Local Polynomial Regression with Similarity KernelsCode0
A Good Score Does not Lead to A Good Generative ModelCode0
Deep Density DestructorsCode0
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian OptimizationCode0
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly DetectionCode0
On Memorization in Probabilistic Deep Generative ModelsCode0
On Memorization in Probabilistic Deep Generative ModelsCode0
Towards universal neural nets: Gibbs machines and ACECode0
Learning and Generalization in Overparameterized Normalizing FlowsCode0
Causal Discovery with Flow-based Conditional Density EstimationCode0
On statistic alignment for domain adaptation in structural health monitoringCode0
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue SystemsCode0
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical TestsCode0
Accelerating Continuous Normalizing Flow with Trajectory Polynomial RegularizationCode0
Deep conditional distribution learning via conditional Föllmer flowCode0
On the estimation of spatial density from mobile network operator dataCode0
Tractable Density Estimation on Learned Manifolds with Conformal Embedding FlowsCode0
Robust Simulation-Based Inference in Cosmology with Bayesian Neural NetworksCode0
Strudel: Learning Structured-Decomposable Probabilistic CircuitsCode0
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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
7Flow matchingNLL (bits/dim)2.99—Unverified
8score SDENLL (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