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
Alternators With Noise Models—0
Space evaluation at the starting point of soccer transitions—0
LGBQPC: Local Granular-Ball Quality Peaks Clustering—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
Constrained Online Decision-Making: A Unified Framework—0
Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective—0
Dequantified Diffusion-Schrödinger Bridge for Density Ratio EstimationCode0
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching—0
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning—0
Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density FilterCode0
Probabilistic Time Series Forecasting of Residential Loads -- A Copula Approach—0
Score-Debiased Kernel Density Estimation—0
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation—0
On the minimax optimality of Flow Matching through the connection to kernel density estimation—0
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models—0
DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensing—0
Unifying and extending Diffusion Models through PDEs for solving Inverse Problems—0
Closed-Loop Neural Operator-Based Observer of Traffic Density—0
DDPM Score Matching and Distribution Learning—0
Online Traffic Density Estimation using Physics-Informed Neural Networks—0
Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching—0
Quantum Deep Sets and Sequences—0
Density estimation via mixture discrepancy and moments—0
Nonparametric spectral density estimation using interactive mechanisms under local differential privacy—0
KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation—0
Squared families: Searching beyond regular probability models—0
Debiasing Kernel-Based Generative Models—0
Food Recommendation With Balancing Comfort and Curiosity—0
A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation—0
Probabilistic Net Load Forecasting for High-Penetration RES Grids Utilizing Enhanced Conditional Diffusion Model—0
Neural Network Approach to Stochastic Dynamics for Smooth Multimodal Density Estimation—0
Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction—0
Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling—0
Hierarchical clustering with maximum density paths and mixture modelsCode0
Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion—0
Counterfactual experience augmented off-policy reinforcement learningCode0
Decentralized Continuification Control of Multi-Agent Systems via Distributed Density Estimation—0
Flows on convex polytopesCode0
On the contraction properties of Sinkhorn semigroups—0
Scaling Probabilistic Circuits via Data PartitioningCode0
Dynamic DBSCAN with Euler Tour Sequences—0
Learning Energy-Based Models by Self-normalising the Likelihood—0
Diffusion Model Based Probabilistic Day-ahead Load Forecasting—0
Exploring the usage of Probabilistic Neural Networks for Ionospheric electron density estimation—0
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings—0
Mixture models for data with unknown distributions—0
A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation—0
Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems—0
Mixup Regularization: A Probabilistic Perspective—0
Flow-based generative models as iterative algorithms in probability space—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