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 601–650 of 1394 papers

TitleStatusHype
Multiclass histogram-based thresholding using kernel density estimation and scale-space representations—0
Crime Hot-Spot Modeling via Topic Modeling and Relative Density Estimation—0
Minimax Optimal Algorithms with Fixed-k-Nearest NeighborsCode0
Cyber-resilience for marine navigation by information fusion and change detection—0
Progressive Distillation for Fast Sampling of Diffusion ModelsCode2
Posterior Matching for Arbitrary ConditioningCode0
Estimation of Conditional Random Coefficient Models using Machine Learning Techniques—0
Detection of Word Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEsCode0
Density reconstruction from schlieren images through Bayesian nonparametric modelsCode0
A Non-Classical Parameterization for Density Estimation Using Sample Moments—0
LoMar: A Local Defense Against Poisoning Attack on Federated Learning—0
Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling—0
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates—0
Exponential Family Model-Based Reinforcement Learning via Score MatchingCode0
Wasserstein Generative Learning of Conditional DistributionCode0
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement LearningCode0
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation—0
Approaches Toward Physical and General Video Anomaly DetectionCode0
Probability Density Estimation Based Imitation Learning—0
Autoregressive Quantile Flows for Predictive Uncertainty Estimation—0
Gaussian map predictions for 3D surface feature localisation and countingCode0
Causal Discovery with Flow-based Conditional Density EstimationCode0
HyperSPNs: Compact and Expressive Probabilistic CircuitsCode1
Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solidsCode1
A generative nonparametric Bayesian model for whole genomesCode1
Tractable Density Estimation on Learned Manifolds with Conformal Embedding FlowsCode0
On Memorization in Probabilistic Deep Generative ModelsCode0
A sampling-based circuit for optimal decision making—0
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments—0
Denoising Normalizing FlowCode1
On Density Estimation with Diffusion ModelsCode1
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic AutoencodersCode1
Characteristic Neural Ordinary Differential Equations—0
Hedging Cryptocurrency OptionsCode1
Tree density estimation—0
Efficient Bayesian Inverse Reinforcement Learning via Conditional Kernel Density Estimation—0
Expert-Guided Symmetry Detection in Markov Decision Processes—0
Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level EstimationCode1
Detection of Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
Monte Carlo dropout increases model repeatabilityCode0
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression—0
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural NetworksCode0
Bounds all around: training energy-based models with bidirectional bounds—0
Resampling Base Distributions of Normalizing FlowsCode1
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation—0
Data-driven Uncertainty Quantification in Computational Human Head Models—0
Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density EstimationCode1
Robust Ellipsoid-specific Fitting via Expectation Maximization—0
Neural Flows: Efficient Alternative to Neural ODEsCode1
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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
7Flow matchingNLL (bits/dim)2.99—Unverified
8score SDENLL (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