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 1301–1350 of 1394 papers

TitleStatusHype
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study—0
Transporting Robotic Swarms via Mean-Field Feedback Control—0
Robust Multi-Modal Density Estimation—0
Designing Data: Proactive Data Collection and Iteration for Machine Learning—0
Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over Adaptive Networks—0
Robust parametric modeling of Alzheimer's disease progression—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
Estimating Pore Location of PBF-LB/M Processes with Segmentation Models—0
Robust Stochastic Configuration Networks with Kernel Density Estimation—0
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications—0
A Discriminative Framework for Anomaly Detection in Large Videos—0
Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition—0
A General Approach for Determining Applicability Domain of Machine Learning Models—0
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo—0
Binary Classifier Calibration: Non-parametric approach—0
Differentially-Private Bayes Consistency—0
Differentially Private Kernel Density Estimation—0
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation—0
Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel—0
A Deep and Tractable Density Estimator—0
Differentially Private Synthetic Data with Private Density Estimation—0
DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensing—0
bigMap: Big Data Mapping with Parallelized t-SNE—0
Sample Complexity Bounds for Estimating Probability Divergences under Invariances—0
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation—0
Diffusion Model Based Probabilistic Day-ahead Load Forecasting—0
Selective machine learning of doubly robust functionals—0
Bias and variance reduction and denoising for CTF Estimation—0
Dihedral angle prediction using generative adversarial networks—0
Dimension-independent rates for structured neural density estimation—0
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes—0
Direct estimation of density functionals using a polynomial basis—0
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation—0
Dirichlet process mixture models for non-stationary data streams—0
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery—0
Discovering the neural correlate informed nosological relation among multiple neuropsychiatric disorders through dual utilisation of diagnostic information—0
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound—0
Discrepancy, Coresets, and Sketches in Machine Learning—0
Sample-Efficient Learning of Mixtures—0
Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory—0
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation—0
Distances for WiFi Based Topological Indoor Mapping—0
Distances with mixed type variables some modified Gower's coefficients—0
Distilling Normalizing Flows—0
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities—0
Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage—0
Distributed Density Filtering for Large-Scale Systems Using Mean-Filed Models—0
Distributed Mean-Field Density Estimation for Large-Scale Systems—0
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal—0
Distributed Nonparametric Estimation under Communication Constraints—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