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 751–800 of 1394 papers

TitleStatusHype
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
A One-Class Classification Decision Tree Based on Kernel Density Estimation—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
Unlocking the Power of Representations in Long-term Novelty-based Exploration—0
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models—0
Answer Identification in Collaborative Organizational Group Chat—0
Stationary Density Estimation of Itô Diffusions Using Deep Learning—0
Laplacian Mixture Model Point Based Registration—0
Latent Anomaly Detection Through Density Matrices—0
Latent Space Energy-based Model for Fine-grained Open Set Recognition—0
A Novel Markov Model for Near-Term Railway Delay Prediction—0
LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance—0
Statistical-Computational Trade-offs for Density Estimation—0
Learnable Explicit Density for Continuous Latent Space and Variational Inference—0
Learning a Deep Part-based Representation by Preserving Data Distribution—0
Learning A Disentangling Representation For PU Learning—0
Content Reduction, Surprisal and Information Density Estimation for Long Documents—0
Learning and Generalization in Univariate Overparameterized Normalizing Flows—0
Learning Arbitrary Sum-Product Network Leaves with Expectation-Maximization—0
Learning Deep Generative Models With Discrete Latent Variables—0
Learning Deep Generative Models with Doubly Stochastic MCMC—0
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours—0
A Novel Locally Linear KNN Model for Visual Recognition—0
Learning Distances from Data with Normalizing Flows and Score Matching—0
Learning Distributions over Logical Forms for Referring Expression Generation—0
Learning Distributions via Monte-Carlo Marginalization—0
Learning Energy-Based Models by Self-normalising the Likelihood—0
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference—0
Unpacking Information Bottlenecks: Surrogate Objectives for Deep Learning—0
Statistical Modeling of Univariate Multimodal Data—0
Learning k-Modal Distributions via Testing—0
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments—0
Learning Nonparametric Forest Graphical Models with Prior Information—0
Learning Short-Cut Connections for Object Counting—0
Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation—0
Learning the Solution Manifold in Optimization and Its Application in Motion Planning—0
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection—0
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts—0
Statistical post-processing of wind speed forecasts using convolutional neural networks—0
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning—0
Stochastic force inference via density estimation—0
Learning to Simulate Tree-Branch Dynamics for Manipulation—0
Stochastic geometry to generalize the Mondrian Process—0
Learning Unnormalized Statistical Models via Compositional Optimization—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
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