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 951–1000 of 1394 papers

TitleStatusHype
Imitation with Neural Density Models—0
Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models—0
Sobolev Space Regularised Pre Density Models—0
Implicit Riemannian Concave Potential Maps—0
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture—0
Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks—0
Improving Adversarial Energy-Based Model via Diffusion Process—0
Improving Continuous Normalizing Flows using a Multi-Resolution Framework—0
Improving importance estimation in covariate shift for providing accurate prediction error—0
Improving Nonparametric Density Estimation with Tensor Decompositions—0
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining—0
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection—0
Inconsistency of Pitman-Yor process mixtures for the number of components—0
In Defense of Single-column Networks for Crowd Counting—0
Inference and Mixture Modeling with the Elliptical Gamma Distribution—0
Inference for high-dimensional exchangeable arrays—0
Inference with K-means—0
Injective flows for star-like manifolds—0
Instance-Optimal Private Density Estimation in the Wasserstein Distance—0
Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams—0
Interactive Inference under Information Constraints—0
Interpretable deep learning regression for breast density estimation on MRI—0
Interpretable Mixture Density Estimation by use of Differentiable Tree-module—0
InvertibleNetworks.jl: A Julia package for scalable normalizing flows—0
Inverting Supervised Representations with Autoregressive Neural Density Models—0
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE—0
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference—0
ISR: Invertible Symbolic Regression—0
Iterative Crowd Counting—0
Joint Manifold Learning and Density Estimation Using Normalizing Flows—0
Kernel density estimation based sampling for imbalanced class distribution—0
Kernel Conditional Density Operators—0
Kernel Density Decision Trees—0
Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation—0
Kernel Density Estimation-Based Markov Models with Hidden State—0
Kernel density estimation-based sampling for neural network classification—0
Kernel Density Estimation Bias under Minimal Assumptions—0
Kernel Density Estimation by Genetic Algorithm—0
Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary—0
Kernel Density Estimation for Dynamical Systems—0
Kernel Density Estimation for Multiclass Quantification—0
Kernel Density Estimators in Large Dimensions—0
Kernel interpolation with continuous volume sampling—0
Kernelised Normalising Flows—0
Kernel k-Medoids as General Vector Quantization—0
Kernel Null Space Methods for Novelty Detection—0
KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation—0
k-Means Maximum Entropy Exploration—0
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation—0
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models—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