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 101–150 of 1394 papers

TitleStatusHype
AdaCat: Adaptive Categorical Discretization for Autoregressive ModelsCode1
Light Schrödinger BridgeCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Marginalizable Density ModelsCode1
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networksCode1
Metrics of calibration for probabilistic predictionsCode1
A generative nonparametric Bayesian model for whole genomesCode1
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object DetectionCode1
A generative nonparametric Bayesian model for whole genomesCode1
DEAP Cache: Deep Eviction Admission and Prefetching for CacheCode1
Decoupling Global and Local Representations via Invertible Generative FlowsCode1
Normalizing Flow-based Differentiable Particle FiltersCode1
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose ModelingCode1
Normalizing Flows with Multi-Scale Autoregressive PriorsCode1
Optimizing Hierarchical Image VAEs for Sample QualityCode1
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal TransportCode1
DEnsity: Open-domain Dialogue Evaluation Metric using Density EstimationCode1
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other ModificationsCode1
Counting with Focus for FreeCode1
arfpy: A python package for density estimation and generative modeling with adversarial random forestsCode1
Continuous Mixtures of Tractable Probabilistic ModelsCode1
TSDS: Data Selection for Task-Specific Model FinetuningCode1
Reflectance-Guided, Contrast-Accumulated Histogram EqualizationCode1
Representation Learning: A Review and New PerspectivesCode1
Resampling Base Distributions of Normalizing FlowsCode1
Complete parameter inference for GW150914 using deep learningCode1
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing FlowCode1
Conditional Variational Image DerainingCode1
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor SearchCode1
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionCode1
Continuous Language Generative FlowCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex OptimizationCode1
Detecting and repairing arbitrage in traded option pricesCode1
Free-form Flows: Make Any Architecture a Normalizing FlowCode1
Asymmetric Student-Teacher Networks for Industrial Anomaly DetectionCode1
Deep Energy Estimator NetworksCode1
Invertible DenseNets with Concatenated LipSwishCode1
A Temporal Kernel Approach for Deep Learning with Continuous-time InformationCode1
Density Deconvolution with Normalizing FlowsCode1
Density estimation on low-dimensional manifolds: an inflation-deflation approachCode1
Diagnosing and Fixing Manifold Overfitting in Deep Generative ModelsCode1
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
An Attribute-based Method for Video Anomaly DetectionCode1
Diffusion Normalizing FlowCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson RegressionCode1
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical SystemsCode1
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
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