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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 1394 papers

TitleStatusHype
Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique—0
Complexity measure, kernel density estimation, bandwidth selection, and the efficient market hypothesis—0
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows—0
Establishing phone-pair co-usage by comparing mobility patterns—0
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations—0
Computational Challenges in Non-parametric Prediction of Bradycardia in Preterm Infants—0
An Asymptotic CVaR Measure of Risk for Markov Chains—0
A Unifying Information-theoretic Perspective on Evaluating Generative Models—0
Estimating the class prior and posterior from noisy positives and unlabeled data—0
Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient—0
Correcting sampling biases via importance reweighting for spatial modeling—0
Copula Flows for Synthetic Data Generation—0
A Unified Model for Near and Remote Sensing—0
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation—0
Copula-Based Density Estimation Models for Multivariate Zero-Inflated Continuous Data—0
Analyzing the Fine Structure of Distributions—0
A-CCNN: adaptive ccnn for density estimation and crowd counting—0
FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis—0
From Adaptive Kernel Density Estimation to Sparse Mixture Models—0
Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation—0
Analysis of KNN Density Estimation—0
A unified construction for series representations and finite approximations of completely random measures—0
Convergence Rates of Empirical Bayes Posterior Distributions: A Variational Perspective—0
Flexible conditional density estimation for time series—0
Flow-based generative models as iterative algorithms in probability space—0
Convergence rates of a partition based Bayesian multivariate density estimation method—0
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory—0
Augmented KRnet for density estimation and approximation—0
Convergence of the Inexact Langevin Algorithm and Score-based Generative Models in KL Divergence—0
Convergence guarantees for a class of non-convex and non-smooth optimization problems—0
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning—0
Acceleration through spectral density estimation—0
Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems—0
Contrastive Topographic Models: Energy-based density models applied to the understanding of sensory coding and cortical topography—0
A Two-Stage Stochastic Programming Model for Car-Sharing Problem using Kernel Density Estimation—0
Contraction of Locally Differentially Private Mechanisms—0
Continuous-Time Flows for Efficient Inference and Density Estimation—0
A Deep and Tractable Density Estimator—0
Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures—0
Attention to Head Locations for Crowd Counting—0
Continuous Graph Flow—0
Attentional Neural Fields for Crowd Counting—0
A multi-reconstruction study of breast density estimation using Deep Learning—0
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning—0
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection—0
From CDF to PDF --- A Density Estimation Method for High Dimensional Data—0
Continuous Assortment Optimization with Logit Choice Probabilities under Incomplete Information—0
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs—0
Continual Learning with Fully Probabilistic Models—0
Continual Learning Should Move Beyond Incremental Classification—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