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 1–50 of 1394 papers

TitleStatusHype
A Scalable Approach to Clustering Embedding ProjectionsCode7
Decoding-based RegressionCode3
Normalizing Flows are Capable Generative ModelsCode3
Flow Matching for Generative ModelingCode3
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time SeriesCode3
FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative ModelingCode2
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic PerspectiveCode2
Positional Encoder Graph Quantile Neural Networks for Geographic DataCode2
Density Estimation via Binless Multidimensional IntegrationCode2
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly DetectionCode2
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise ClassificationCode2
PhilEO Bench: Evaluating Geo-Spatial Foundation ModelsCode2
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated DataCode2
Building Normalizing Flows with Stochastic InterpolantsCode2
Probability density estimation for sets of large graphs with respect to spectral information using stochastic block modelsCode2
General-purpose, long-context autoregressive modeling with Perceiver ARCode2
Progressive Distillation for Fast Sampling of Diffusion ModelsCode2
Denoising Diffusion Probabilistic ModelsCode2
CNN-based Density Estimation and Crowd Counting: A SurveyCode2
Masked Autoregressive Flow for Density EstimationCode2
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson RegressionCode1
Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative DecodingCode1
A friendly introduction to triangular transportCode1
Generative Modeling with Bayesian Sample InferenceCode1
Stochastic Process Learning via Operator Flow MatchingCode1
Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile RobotsCode1
TSDS: Data Selection for Task-Specific Model FinetuningCode1
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionCode1
Unmasking Trees for Tabular DataCode1
Perturbation Towards Easy Samples Improves Targeted Adversarial TransferabilityCode1
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementCode1
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose ModelingCode1
Normalizing Flow-based Differentiable Particle FiltersCode1
Gaussian Plane-Wave Neural Operator for Electron Density EstimationCode1
Diffusion Models With Learned Adaptive NoiseCode1
Label-Free Multivariate Time Series Anomaly DetectionCode1
Set Features for Anomaly DetectionCode1
arfpy: A python package for density estimation and generative modeling with adversarial random forestsCode1
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar ImageryCode1
The voraus-AD Dataset for Anomaly Detection in Robot ApplicationsCode1
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysisCode1
Free-form Flows: Make Any Architecture a Normalizing FlowCode1
Light Schrödinger BridgeCode1
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
TreeFormer: a Semi-Supervised Transformer-based Framework for Tree Counting from a Single High Resolution ImageCode1
DEnsity: Open-domain Dialogue Evaluation Metric using Density EstimationCode1
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsCode1
Sequence Modeling with Multiresolution Convolutional MemoryCode1
A Coupled Flow Approach to Imitation LearningCode1
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object DetectionCode1
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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