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 401–450 of 1394 papers

TitleStatusHype
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics—0
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection—0
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object DetectionCode1
Copula-Based Density Estimation Models for Multivariate Zero-Inflated Continuous Data—0
Thread Counting in Plain Weave for Old Paintings Using Semi-Supervised Regression Deep Learning ModelsCode0
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations—0
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
Kernel Density Bayesian Inverse Reinforcement LearningCode0
Towards Trust of Explainable AI in Thyroid Nodule DiagnosisCode1
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational ReasoningCode0
Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences—0
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated DataCode2
A System of ODEs for Representing Trends of CGM Signals—0
Mixtures of All TreesCode0
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical TestsCode0
Private Statistical Estimation of Many Quantiles—0
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health RecordsCode0
LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance—0
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using SamplesCode1
Disentangling Learning Representations with Density EstimationCode0
Nonparametric Density Estimation under Distribution Drift—0
KDEformer: Accelerating Transformers via Kernel Density EstimationCode1
Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions—0
Designing Data: Proactive Data Collection and Iteration for Machine Learning—0
Context-specific kernel-based hidden Markov model for time series analysisCode0
Flexible conditional density estimation for time series—0
Dynamic Sizing of Frequency Control Ancillary Service Requirements for a Philippine Grid—0
Bayesian Weapon System Reliability Modeling with Cox-Weibull Neural Network—0
Distribution-Consistent Modal Recovering for Incomplete Multimodal LearningCode1
Local Connectivity-Based Density Estimation for Face ClusteringCode1
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic SegmentationCode1
A Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data—0
Fast and fully-automated histograms for large-scale data sets—0
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)—0
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networksCode1
A Mathematical Framework for Learning Probability Distributions—0
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving—0
HDNet: A Hierarchically Decoupled Network for Crowd Counting—0
Differentially-Private Bayes Consistency—0
CLIP: Train Faster with Less Data—0
Crowd Density Estimation using Imperfect Labels—0
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation—0
High-dimensional density estimation with tensorizing flow—0
An Attribute-based Method for Video Anomaly DetectionCode1
Proximal Residual Flows for Bayesian Inverse ProblemsCode0
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO SchemeCode0
Copula Density Neural EstimationCode0
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifoldsCode0
Deep learning based landslide density estimation on SAR data for rapid response—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