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 501–550 of 1394 papers

TitleStatusHype
Concentration inequalities for leave-one-out cross validation—0
Computing on Functions Using Randomized Vector Representations—0
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations—0
Computational Challenges in Non-parametric Prediction of Bradycardia in Preterm Infants—0
Establishing phone-pair co-usage by comparing mobility patterns—0
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold—0
A sampling-based circuit for optimal decision making—0
Alternators With Noise Models—0
Estimating the class prior and posterior from noisy positives and unlabeled data—0
Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient—0
Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique—0
Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion—0
Complexity measure, kernel density estimation, bandwidth selection, and the efficient market hypothesis—0
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows—0
End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification—0
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)—0
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps—0
Complete gradient clustering algorithm for features analysis of x-ray images—0
A Robust Framework for Moving-Object Detection and Vehicular Traffic Density Estimation—0
A Local Density-Based Approach for Local Outlier Detection—0
Adaptive Transfer Learning of Multi-View Time Series Classification—0
EMTL: A Generative Domain Adaptation Approach—0
Communication-Efficient Distributed Learning of Discrete Distributions—0
Empirical likelihood and uniform convergence rates for dyadic kernel density estimation—0
Empirical Density Estimation based on Spline Quasi-Interpolation with applications to Copulas clustering modeling—0
Combining local and global smoothing in multivariate density estimation—0
ARMCMC: ONLINE MODEL PARAMETERS DENSITY ESTIMATION IN BAYESIAN PARADIGM—0
Eliminating Ratio Bias for Gradient-based Simulated Parameter Estimation—0
Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation—0
Combined approach for automatic and robust calculation of dominant frequency of electrogastrogram—0
Color Orchestra: Ordering Color Palettes for Interpolation and Prediction—0
ARMCMC: Online Bayesian Density Estimation of Model Parameters—0
Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation—0
Color Constancy with Derivative Colors—0
Efficient Minimax Strategies for Square Loss Games—0
Efficiently Learning Structured Distributions from Untrusted Batches—0
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis—0
Efficiently Computing Similarities to Private Datasets—0
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization—0
Efficient Density Estimation via Piecewise Polynomial Approximation—0
Efficient computation and analysis of distributional Shapley values—0
Collaborative Anomaly Detection—0
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning—0
Adaptive Random Bandwidth for Inference in CAViaR Models—0
About the Cost of Central Privacy in Density Estimation—0
Efficient Bregman Range Search—0
Efficient Bayesian Inverse Reinforcement Learning via Conditional Kernel Density Estimation—0
Effective LHC measurements with matrix elements and machine learning—0
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density—0
Edge Detection based on Kernel Density Estimation—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