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 1151–1200 of 1394 papers

TitleStatusHype
Nested conformal prediction and quantile out-of-bag ensemble methodsCode0
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing FlowsCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
Efficient Mixture Learning in Black-Box Variational InferenceCode0
Neural Autoregressive Distribution EstimationCode0
Graphite: Iterative Generative Modeling of GraphsCode0
Efficient and principled score estimation with Nyström kernel exponential familiesCode0
Dynamic Feature Acquisition Using Denoising AutoencodersCode0
Neural Autoregressive FlowsCode0
Neural Canonical Transformation with Symplectic FlowsCode0
A New Index for Clustering Evaluation Based on Density EstimationCode0
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational ReasoningCode0
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map ForecastingCode0
Consistent and Flexible Selectivity Estimation for High-Dimensional DataCode0
Document Set Expansion with Positive-Unlabelled Learning Using Intractable Density EstimationCode0
Neural-g: A Deep Learning Framework for Mixing Density EstimationCode0
Diverse Rare Sample Generation with Pretrained GANsCode0
Hierarchical clustering with maximum density paths and mixture modelsCode0
Neural Implicit Manifold Learning for Topology-Aware Density EstimationCode0
Hierarchical Discrete Distribution Decomposition for Match Density EstimationCode0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
Neural Inverse Transform SamplerCode0
Hierarchical VAE with a Diffusion-based VampPriorCode0
ρ-Diffusion: A diffusion-based density estimation framework for computational physicsCode0
Disentangling Learning Representations with Density EstimationCode0
High-dimensional and Permutation Invariant Anomaly DetectionCode0
Reconstruction and Membership Inference Attacks against Generative ModelsCode0
Neural Likelihoods via Cumulative Distribution FunctionsCode0
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density EstimationCode0
Rectangular Flows for Manifold LearningCode0
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression TasksCode0
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian InferenceCode0
Video Anomaly Detection by Estimating Likelihood of RepresentationsCode0
XNB: Explainable Class-Specific NaIve-Bayes ClassifierCode0
Discretely Indexed FlowsCode0
How is BERT surprised? Layerwise detection of linguistic anomaliesCode0
Re-examination of the Role of Latent Variables in Sequence ModelingCode0
Dirac Delta Regression: Conditional Density Estimation with Clinical TrialsCode0
Diffusion Generative Modelling for Divide-and-Conquer MCMCCode0
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionCode0
Conditional Image Generation with PixelCNN DecodersCode0
Differentially Private Post-Processing for Fair RegressionCode0
NeuroCodeBench: a plain C neural network benchmark for software verificationCode0
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health RecordsCode0
NeuroPMD: Neural Fields for Density Estimation on Product ManifoldsCode0
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and TrackingCode0
Reflectance-Oriented Probabilistic Equalization for Image EnhancementCode0
Reframing Audience Expansion through the Lens of Probability Density EstimationCode0
Noise Estimation Using Density Estimation for Self-Supervised Multimodal LearningCode0
Noise Regularization for Conditional Density EstimationCode0
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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