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 1301–1350 of 1394 papers

TitleStatusHype
Learning from Sparse Offline Datasets via Conservative Density EstimationCode0
Learning Generative Models using Denoising Density EstimatorsCode0
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous MatricesCode0
OPEM (Open Source PEM Fuel Cell Simulation Tool)Code0
Tractable Density Estimation on Learned Manifolds with Conformal Embedding FlowsCode0
Asymmetric Variational AutoencodersCode0
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier FeaturesCode0
Learning Theory for Distribution RegressionCode0
Variational Inference with Continuously-Indexed Normalizing FlowsCode0
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density EstimationCode0
Learning to Generate with MemoryCode0
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial ProblemsCode0
Learning to Prune in Metric and Non-Metric SpacesCode0
Learning to Shift Attention for Motion GenerationCode0
Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional HistogramsCode0
Learning Transfer Operators by Kernel Density EstimationCode0
Warped Mixtures for Nonparametric Cluster ShapesCode0
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifoldsCode0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly DetectionCode0
Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image SegmentationCode0
Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian MixturesCode0
Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language ModelsCode0
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMsCode0
Sum-of-Squares Polynomial FlowCode0
Sum-Product Graphical ModelsCode0
DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled LearningCode0
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional NoiseCode0
Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the NIJ "Real-Time Crime Forecasting Challenge"Code0
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving MapsCode0
On the representation and learning of monotone triangular transport mapsCode0
Training Normalizing Flows from Dependent DataCode0
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing FlowsCode0
Deconvolutional Density Network: Modeling Free-Form Conditional DistributionsCode0
Local Flow Matching Generative ModelsCode0
Scaling Probabilistic Circuits via Data PartitioningCode0
Relaxing Bijectivity Constraints with Continuously Indexed Normalising FlowsCode0
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density EstimationCode0
Log-concave density estimation in undirected graphical modelsCode0
Logistic-beta processes for dependent random probabilities with beta marginalsCode0
Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM DatasetCode0
Variationally Inferred Sampling Through a Refined Bound for Probabilistic ProgramsCode0
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density EstimationCode0
Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distancesCode0
Variationally Inferred Sampling Through a Refined BoundCode0
Exchangeable Generative Models with Flow ScansCode0
Machine-Learned Exclusion Limits without BinningCode0
InceptionHuman: Controllable Prompt-to-NeRF for Photorealistic 3D Human GenerationCode0
Data Structures for Density EstimationCode0
Unsupervised Discretization by Two-dimensional MDL-based HistogramCode0
Persistently Trained, Diffusion-assisted Energy-based ModelsCode0
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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