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 51–100 of 1394 papers

TitleStatusHype
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
Towards Trust of Explainable AI in Thyroid Nodule DiagnosisCode1
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using SamplesCode1
KDEformer: Accelerating Transformers via Kernel Density EstimationCode1
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic SegmentationCode1
Distribution-Consistent Modal Recovering for Incomplete Multimodal LearningCode1
Local Connectivity-Based Density Estimation for Face ClusteringCode1
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networksCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
An Attribute-based Method for Video Anomaly DetectionCode1
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution DetectionCode1
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical EncodingsCode1
Transport Reversible Jump ProposalsCode1
Representation Learning with Diffusion ModelsCode1
Optimizing Hierarchical Image VAEs for Sample QualityCode1
Invertible Monotone Operators for Normalizing FlowsCode1
Asymmetric Student-Teacher Networks for Industrial Anomaly DetectionCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Hyperbolic VAE via Latent Gaussian DistributionsCode1
Continuous Mixtures of Tractable Probabilistic ModelsCode1
Reflectance-Guided, Contrast-Accumulated Histogram EqualizationCode1
Detecting Multivariate Time Series Anomalies with Zero Known LabelCode1
AdaCat: Adaptive Categorical Discretization for Autoregressive ModelsCode1
Spherical Sliced-WassersteinCode1
Backpropagation through Combinatorial Algorithms: Identity with Projection WorksCode1
Metrics of calibration for probabilistic predictionsCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
Diagnosing and Fixing Manifold Overfitting in Deep Generative ModelsCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing FlowCode1
Point Density-Aware Voxels for LiDAR 3D Object DetectionCode1
It's Raw! Audio Generation with State-Space ModelsCode1
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
HyperSPNs: Compact and Expressive Probabilistic CircuitsCode1
A generative nonparametric Bayesian model for whole genomesCode1
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic AutoencodersCode1
On Density Estimation with Diffusion ModelsCode1
Denoising Normalizing FlowCode1
Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solidsCode1
Hedging Cryptocurrency OptionsCode1
Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level EstimationCode1
Resampling Base Distributions of Normalizing FlowsCode1
Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density EstimationCode1
Neural Flows: Efficient Alternative to Neural ODEsCode1
PixelPyramids: Exact Inference Models from Lossless Image PyramidsCode1
Diffusion Normalizing FlowCode1
Types of Out-of-Distribution Texts and How to Detect ThemCode1
Semiparametric Bayesian NetworksCode1
Moser Flow: Divergence-based Generative Modeling on ManifoldsCode1
Hierarchical Infinite Relational ModelCode1
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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