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 101–150 of 1394 papers

TitleStatusHype
AdaCat: Adaptive Categorical Discretization for Autoregressive ModelsCode1
Denoising Normalizing FlowCode1
Density estimation using Real NVPCode1
Density estimation on low-dimensional manifolds: an inflation-deflation approachCode1
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter ComplexityCode1
Neural Flows: Efficient Alternative to Neural ODEsCode1
A generative nonparametric Bayesian model for whole genomesCode1
Generative Modeling with Bayesian Sample InferenceCode1
Gradient Boosted Normalizing FlowsCode1
Normalizing Flow-based Differentiable Particle FiltersCode1
Gaussian Plane-Wave Neural Operator for Electron Density EstimationCode1
On Out-of-distribution Detection with Energy-based ModelsCode1
From Variational to Deterministic AutoencodersCode1
Perturbation Towards Easy Samples Improves Targeted Adversarial TransferabilityCode1
Free-form Flows: Make Any Architecture a Normalizing FlowCode1
PixelPyramids: Exact Inference Models from Lossless Image PyramidsCode1
GraphAF: a Flow-based Autoregressive Model for Molecular Graph GenerationCode1
Point-Set Registration: Coherent Point DriftCode1
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using SamplesCode1
arfpy: A python package for density estimation and generative modeling with adversarial random forestsCode1
Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level EstimationCode1
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
Diffusion Normalizing FlowCode1
Dissimilarity Mixture Autoencoder for Deep ClusteringCode1
Resampling Base Distributions of Normalizing FlowsCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
Flows for simultaneous manifold learning and density estimationCode1
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical SystemsCode1
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data AugmentationCode1
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution DetectionCode1
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson RegressionCode1
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative ModelsCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementCode1
Asymmetric Student-Teacher Networks for Industrial Anomaly DetectionCode1
Gaussianizing the Earth: Multidimensional Information Measures for Earth Data AnalysisCode1
Generative Flows with Matrix ExponentialCode1
A Temporal Kernel Approach for Deep Learning with Continuous-time InformationCode1
Glow: Generative Flow with Invertible 1x1 ConvolutionsCode1
Characterizing Structural Regularities of Labeled Data in Overparameterized ModelsCode1
Graphical Normalizing FlowsCode1
Graph Mixture Density NetworksCode1
An Attribute-based Method for Video Anomaly DetectionCode1
An Empirical Comparison of GANs and Normalizing Flows for Density EstimationCode1
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsCode1
Complete parameter inference for GW150914 using deep learningCode1
Roundtrip: A Deep Generative Neural Density EstimatorCode1
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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