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 1151–1200 of 1394 papers

TitleStatusHype
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights—0
A Fair Classifier Using Kernel Density Estimation—0
Conditional Density Estimation via Weighted Logistic Regressions—0
Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization—0
Conditional Density Estimation with Bayesian Normalising Flows—0
Research on the Dynamic Evolution and Influencing Factors of Energy Resilience in China—0
Adaptive Density Estimation for Generative Models—0
Spatiotemporal Density Correction of Multivariate Global Climate Model Projections using Deep Learning—0
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning—0
Conditional Kernel Imitation Learning for Continuous State Environments—0
Causal Covariate Shift Correction using Fisher information penalty—0
Conditional Noise-Contrastive Estimation of Unnormalised Models—0
Cauchy-Schwarz Regularized Autoencoder—0
Conformal Drug Property Prediction with Density Estimation under Covariate Shift—0
Conformal Embedding Flows: Tractable Density Estimation on Learned Manifolds—0
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis—0
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection—0
Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective—0
Consistent Density Estimation Under Discrete Mixture Models—0
Consistent Kernel Density Estimation with Non-Vanishing Bandwidth—0
Constrained Online Decision-Making: A Unified Framework—0
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles—0
Content-aware Density Map for Crowd Counting and Density Estimation—0
Adversarial Attacks on Deep Graph Matching—0
Revisiting IM2GPS in the Deep Learning Era—0
Contextual Hourglass Networks for Segmentation and Density Estimation—0
Continual Learning in Predictive Autoscaling—0
Continual Learning Should Move Beyond Incremental Classification—0
Continual Learning with Fully Probabilistic Models—0
Continuous Assortment Optimization with Logit Choice Probabilities under Incomplete Information—0
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning—0
Continuous Graph Flow—0
Can Kernel Transfer Operators Help Flow based Generative Models?—0
Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures—0
Calibration Regularized Training of Deep Neural Networks using Kernel Density Estimation—0
Continuous-Time Flows for Efficient Inference and Density Estimation—0
Contraction of Locally Differentially Private Mechanisms—0
Contrastive Topographic Models: Energy-based density models applied to the understanding of sensory coding and cortical topography—0
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation—0
Convergence guarantees for a class of non-convex and non-smooth optimization problems—0
Convergence of the Inexact Langevin Algorithm and Score-based Generative Models in KL Divergence—0
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory—0
Convergence rates of a partition based Bayesian multivariate density estimation method—0
Convergence Rates of Empirical Bayes Posterior Distributions: A Variational Perspective—0
Revisiting Le Cam's Equation: Exact Minimax Rates over Convex Density Classes—0
C^*-algebra Net: A New Approach Generalizing Neural Network Parameters to C^*-algebra—0
Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation—0
Copula-Based Density Estimation Models for Multivariate Zero-Inflated Continuous Data—0
Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning—0
Copula Flows for Synthetic Data Generation—0
Show:102550
← PrevPage 24 of 28Next →
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