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 551–600 of 1394 papers

TitleStatusHype
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
Disentangling Learning Representations with Density EstimationCode0
Nonparametric Density Estimation under Distribution Drift—0
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
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
A Mathematical Framework for Learning Probability Distributions—0
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
High-dimensional density estimation with tensorizing flow—0
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation—0
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
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly DetectionCode0
DroneNet: Crowd Density Estimation using Self-ONNs for Drones—0
Machine-Learned Exclusion Limits without BinningCode0
Concentration inequalities for leave-one-out cross validation—0
Convergence of the Inexact Langevin Algorithm and Score-based Generative Models in KL Divergence—0
Concrete Score Matching: Generalized Score Matching for Discrete Data—0
Quickest Change Detection with Leave-one-out Density Estimation—0
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier FeaturesCode0
Contraction of Locally Differentially Private Mechanisms—0
Revisiting Le Cam's Equation: Exact Minimax Rates over Convex Density Classes—0
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributionsCode0
Robust Imitation via Mirror Descent Inverse Reinforcement Learning—0
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining—0
Dirichlet process mixture models for non-stationary data streams—0
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment—0
Modular Flows: Differential Molecular Generation—0
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
Designing Robust Transformers using Robust Kernel Density Estimation—0
InQMAD: Incremental Quantum Measurement Anomaly DetectionCode0
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications—0
Training Normalizing Flows from Dependent DataCode0
ButterflyFlow: Building Invertible Layers with Butterfly Matrices—0
Sampling Constrained Continuous Probability Distributions: A Review—0
Segmentation of patchy areas in biomedical images based on local edge density estimation—0
Show:102550
← PrevPage 12 of 28Next →
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