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
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory—0
Causal Covariate Shift Correction using Fisher information penalty—0
Improving Discrete Latent Representations With Differentiable Approximation Bridges—0
Convergence rates of a partition based Bayesian multivariate density estimation method—0
COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation—0
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning—0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference—0
A parallelizable sampling method for parameter inference of large biochemical reaction models—0
Contrastive Topographic Models: Energy-based density models applied to the understanding of sensory coding and cortical topography—0
Adaptable Embeddings Network (AEN)—0
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation—0
A One-Class Classification Decision Tree Based on Kernel Density Estimation—0
Contraction of Locally Differentially Private Mechanisms—0
C^*-algebra Net: A New Approach Generalizing Neural Network Parameters to C^*-algebra—0
Calculating CVaR and bPOE for Common Probability Distributions With Application to Portfolio Optimization and Density Estimation—0
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation—0
Calibration Regularized Training of Deep Neural Networks using Kernel Density Estimation—0
A One-Pass Private Sketch for Most Machine Learning Tasks—0
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow—0
Can Kernel Transfer Operators Help Flow based Generative Models?—0
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning—0
Cauchy-Schwarz Regularized Autoencoder—0
Answer Identification in Collaborative Organizational Group Chat—0
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams—0
Agnostic Private Density Estimation for GMMs via List Global Stability—0
Characteristic Neural Ordinary Differential Equations—0
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation—0
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations—0
C-Learning: Learning to Achieve Goals via Recursive Classification—0
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture—0
CLIP: Train Faster with Less Data—0
Closed-Loop Neural Operator-Based Observer of Traffic Density—0
ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures—0
Clustering by Deep Nearest Neighbor Descent (D-NND): A Density-based Parameter-Insensitive Clustering Method—0
Clustering consistency with Dirichlet process mixtures—0
Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances—0
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density—0
Adaptive learning of density ratios in RKHS—0
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation—0
ButterflyFlow: Building Invertible Layers with Butterfly Matrices—0
A Novel Markov Model for Near-Term Railway Delay Prediction—0
Color Constancy with Derivative Colors—0
Color Orchestra: Ordering Color Palettes for Interpolation and Prediction—0
Combined approach for automatic and robust calculation of dominant frequency of electrogastrogram—0
Combining local and global smoothing in multivariate density estimation—0
Communication-Efficient Distributed Learning of Discrete Distributions—0
Complete gradient clustering algorithm for features analysis of x-ray images—0
Building Detection from Satellite Images on a Global Scale—0
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood—0
A Novel Locally Linear KNN Model for Visual Recognition—0
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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