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 451–500 of 1394 papers

TitleStatusHype
Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage—0
Distributed Density Filtering for Large-Scale Systems Using Mean-Filed Models—0
Distributed Mean-Field Density Estimation for Large-Scale Systems—0
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal—0
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks—0
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network—0
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving—0
Automating Inference of Binary Microlensing Events with Neural Density Estimation—0
Distribution learning via neural differential equations: a nonparametric statistical perspective—0
Distribution learning via neural differential equations: minimal energy regularization and approximation theory—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
Distributive Pre-Training of Generative Modeling Using Matrix-Product States—0
Exploring bidirectional bounds for minimax-training of Energy-based models—0
Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach—0
Closed-Loop Neural Operator-Based Observer of Traffic Density—0
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments—0
DroneNet: Crowd Density Estimation using Self-ONNs for Drones—0
Factoring Variations in Natural Images with Deep Gaussian Mixture Models—0
Dynamic DBSCAN with Euler Tour Sequences—0
Clustering by Deep Nearest Neighbor Descent (D-NND): A Density-based Parameter-Insensitive Clustering Method—0
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory—0
Dynamic Sizing of Frequency Control Ancillary Service Requirements for a Philippine Grid—0
Faster Kernel Matrix Algebra via Density Estimation—0
Edge Detection based on 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
Efficient Bayesian Inverse Reinforcement Learning via Conditional Kernel Density Estimation—0
Efficient Bregman Range Search—0
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions—0
Cross-modal variational inference for bijective signal-symbol translation—0
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection—0
Efficiently Computing Similarities to Private Datasets—0
Automatic Salient Object Detection for Panoramic Images Using Region Growing and Fixation Prediction Model—0
Efficient Minimax Strategies for Square Loss Games—0
Color Constancy with Derivative Colors—0
Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation—0
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function—0
ARMCMC: Online Bayesian Density Estimation of Model Parameters—0
Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation—0
Eliminating Ratio Bias for Gradient-based Simulated Parameter Estimation—0
Empirical Density Estimation based on Spline Quasi-Interpolation with applications to Copulas clustering modeling—0
Empirical likelihood and uniform convergence rates for dyadic kernel density estimation—0
Communication-Efficient Distributed Learning of Discrete Distributions—0
EMTL: A Generative Domain Adaptation Approach—0
CowScape: Quantitative reconstruction of the conformational landscape of biological macromolecules from cryo-EM data—0
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)—0
Automatic Dialect Density Estimation for African American English—0
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows—0
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning—0
Automatic Bayesian Density Analysis—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