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 1–50 of 1394 papers

TitleStatusHype
A Scalable Approach to Clustering Embedding ProjectionsCode7
Normalizing Flows are Capable Generative ModelsCode3
Decoding-based RegressionCode3
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time SeriesCode3
Flow Matching for Generative ModelingCode3
Positional Encoder Graph Quantile Neural Networks for Geographic DataCode2
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise ClassificationCode2
Building Normalizing Flows with Stochastic InterpolantsCode2
PhilEO Bench: Evaluating Geo-Spatial Foundation ModelsCode2
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated DataCode2
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly DetectionCode2
Density Estimation via Binless Multidimensional IntegrationCode2
Progressive Distillation for Fast Sampling of Diffusion ModelsCode2
General-purpose, long-context autoregressive modeling with Perceiver ARCode2
CNN-based Density Estimation and Crowd Counting: A SurveyCode2
FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative ModelingCode2
Masked Autoregressive Flow for Density EstimationCode2
Probability density estimation for sets of large graphs with respect to spectral information using stochastic block modelsCode2
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic PerspectiveCode2
Denoising Diffusion Probabilistic ModelsCode2
Dissimilarity Mixture Autoencoder for Deep ClusteringCode1
Diffusion Models With Learned Adaptive NoiseCode1
Distribution-Consistent Modal Recovering for Incomplete Multimodal LearningCode1
Asymmetric Student-Teacher Networks for Industrial Anomaly DetectionCode1
DEnsity: Open-domain Dialogue Evaluation Metric using Density EstimationCode1
AdaCat: Adaptive Categorical Discretization for Autoregressive ModelsCode1
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
A Temporal Kernel Approach for Deep Learning with Continuous-time InformationCode1
Density estimation using Real NVPCode1
Detecting and repairing arbitrage in traded option pricesCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Denoising Normalizing FlowCode1
Deep Energy Estimator NetworksCode1
Densely connected normalizing flowsCode1
TSDS: Data Selection for Task-Specific Model FinetuningCode1
DEAP Cache: Deep Eviction Admission and Prefetching for CacheCode1
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex OptimizationCode1
An efficient manifold density estimator for all recommendation systemsCode1
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor SearchCode1
A Coupled Flow Approach to Imitation LearningCode1
Decoupling Global and Local Representations via Invertible Generative FlowsCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Counting with Focus for FreeCode1
Density Deconvolution with Normalizing FlowsCode1
arfpy: A python package for density estimation and generative modeling with adversarial random forestsCode1
A friendly introduction to triangular transportCode1
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionCode1
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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
7Flow matchingNLL (bits/dim)2.99—Unverified
8score SDENLL (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