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 451–500 of 1394 papers

TitleStatusHype
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly DetectionCode0
DroneNet: Crowd Density Estimation using Self-ONNs for Drones—0
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution DetectionCode1
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
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical EncodingsCode1
Contraction of Locally Differentially Private Mechanisms—0
Transport Reversible Jump ProposalsCode1
Robust Imitation via Mirror Descent Inverse Reinforcement Learning—0
Revisiting Le Cam's Equation: Exact Minimax Rates over Convex Density Classes—0
Representation Learning with Diffusion ModelsCode1
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributionsCode0
Optimizing Hierarchical Image VAEs for Sample QualityCode1
Invertible Monotone Operators for Normalizing FlowsCode1
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining—0
Asymmetric Student-Teacher Networks for Industrial Anomaly DetectionCode1
Dirichlet process mixture models for non-stationary data streams—0
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment—0
Modular Flows: Differential Molecular Generation—0
Designing Robust Transformers using Robust Kernel Density Estimation—0
InQMAD: Incremental Quantum Measurement Anomaly DetectionCode0
Flow Matching for Generative ModelingCode3
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications—0
Hyperbolic VAE via Latent Gaussian DistributionsCode1
Building Normalizing Flows with Stochastic InterpolantsCode2
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
Continuous Mixtures of Tractable Probabilistic ModelsCode1
Collaborative Anomaly Detection—0
Dataset Inference for Self-Supervised Models—0
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning—0
Towards Healing the Blindness of Score Matching—0
Reflectance-Oriented Probabilistic Equalization for Image EnhancementCode0
Reflectance-Guided, Contrast-Accumulated Histogram EqualizationCode1
Normalizing Flows for Interventional Density EstimationCode0
Structured Recognition for Generative Models with Explaining AwayCode0
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes—0
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference—0
Generative Modeling via Tree Tensor Network States—0
Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data—0
PGNAA Spectral Classification of Metal with Density Estimations—0
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression—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