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 201–250 of 1394 papers

TitleStatusHype
A General Approach for Determining Applicability Domain of Machine Learning Models—0
Non-negative Tensor Mixture Learning for Discrete Density Estimation—0
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff—0
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust—0
An Asymptotic CVaR Measure of Risk for Markov Chains—0
LMD3: Language Model Data Density Dependence—0
ISR: Invertible Symbolic Regression—0
A score-based particle method for homogeneous Landau equation—0
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications—0
Differentially Private Post-Processing for Fair RegressionCode0
Differentially Private Synthetic Data with Private Density Estimation—0
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMsCode0
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis—0
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback--Leibler DivergenceCode0
Online Estimation via Offline Estimation: An Information-Theoretic Framework—0
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementCode1
Topological Feature Search Method for Multichannel EEG: Application in ADHD classification—0
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose ModelingCode1
Multiple-policy Evaluation via Density Estimation—0
MCNet: A crowd denstity estimation network based on integrating multiscale attention module—0
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo—0
Document Set Expansion with Positive-Unlabelled Learning Using Intractable Density EstimationCode0
Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks—0
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly DetectionCode2
Probabilistic reachable sets of stochastic nonlinear systems with contextual uncertainties—0
Neural-Kernel Conditional Mean Embeddings—0
ViiNeuS: Volumetric Initialization for Implicit Neural Surface reconstruction of urban scenes with limited image overlap—0
Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning—0
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise ClassificationCode2
Efficiently Computing Similarities to Private Datasets—0
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders—0
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional NoiseCode0
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach—0
Nonparametric Regression under Cluster Sampling—0
Permutation invariant functions: statistical tests, density estimation, and computationally efficient embedding—0
Improving Adversarial Energy-Based Model via Diffusion Process—0
Normalizing Flow-based Differentiable Particle FiltersCode1
Sequential transport maps using SoS density estimation and α-divergencesCode0
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection—0
Towards Theoretical Understandings of Self-Consuming Generative Models—0
CowScape: Quantitative reconstruction of the conformational landscape of biological macromolecules from cryo-EM data—0
Empirical Density Estimation based on Spline Quasi-Interpolation with applications to Copulas clustering modeling—0
Logistic-beta processes for dependent random probabilities with beta marginalsCode0
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows—0
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models—0
Gaussian Plane-Wave Neural Operator for Electron Density EstimationCode1
Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language ModelsCode0
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained RepresentationsCode0
Decomposing Global Bank Network Connectedness: What is Common, Idiosyncratic and When?—0
Improving importance estimation in covariate shift for providing accurate prediction error—0
Show:102550
← PrevPage 5 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
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