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

Showing 11011150 of 1394 papers

TitleStatusHype
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
Fast Dynamic Routing Based on Weighted Kernel Density EstimationCode0
Extremely Randomized CNets for Multi-label ClassificationCode0
Flows on convex polytopesCode0
Exponential Family Model-Based Reinforcement Learning via Score MatchingCode0
Context-specific kernel-based hidden Markov model for time series analysisCode0
Projected Wasserstein gradient descent for high-dimensional Bayesian inferenceCode0
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State ObservationsCode0
Anomaly Detection with Variance Stabilized Density EstimationCode0
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron ColliderCode0
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributionsCode0
Multiple Importance Sampling ELBO and Deep Ensembles of Variational ApproximationsCode0
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement LearningCode0
Proximal Residual Flows for Bayesian Inverse ProblemsCode0
Adversarial random forests for density estimation and generative modelingCode0
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flowsCode0
Expected Information Maximization: Using the I-Projection for Mixture Density EstimationCode0
Gaussian Gated Linear NetworksCode0
EX2: Exploration with Exemplar Models for Deep Reinforcement LearningCode0
Gaussian map predictions for 3D surface feature localisation and countingCode0
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparisonCode0
The DEformer: An Order-Agnostic Distribution Estimating TransformerCode0
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural NetworksCode0
Multiplicative LSTM for sequence modellingCode0
Generalizable Pose Estimation Using Implicit Scene RepresentationsCode0
Multi-Resolution Continuous Normalizing FlowsCode0
Anomaly Detection with Density EstimationCode0
Generalized Distribution Prediction for Asset ReturnsCode0
Quantum Adaptive Fourier Features for Neural Density EstimationCode0
Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect ClassificationCode0
Estimating Probability Densities with Transformer and Denoising DiffusionCode0
Kernel Density Matrices for Probabilistic Deep LearningCode0
Estimating Feature-Label Dependence Using Gini Distance StatisticsCode0
Multivariate Triangular Quantile Maps for Novelty DetectionCode0
Winner-takes-all learners are geometry-aware conditional density estimatorsCode0
Space and Time Efficient Kernel Density Estimation in High DimensionsCode0
Estimating Density Models with Truncation Boundaries using Score MatchingCode0
Generative Model with Dynamic Linear FlowCode0
Interpretable Fault Detection using Projections of Mutual Information MatrixCode0
Querying Kernel Methods Suffices for Reconstructing their Training DataCode0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
A Deep Learning Approach to Probabilistic Forecasting of WeatherCode0
Nearest Neighbor Dirichlet MixturesCode0
Entropy-Informed Weighting Channel Normalizing FlowCode0
Beyond the Benchmark: Detecting Diverse Anomalies in VideosCode0
ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited SimulationsCode0
The Infinite Mixture of Infinite Gaussian MixturesCode0
Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray ImageCode0
Empirical non-parametric estimation of the Fisher InformationCode0
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing FlowsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MAFLog-likelihood (nats)3,049Unverified
2DDPMNLL (bits/dim)3.69Unverified
3MRCNFNLL (bits/dim)3.54Unverified
4FFJORDNLL (bits/dim)3.4Unverified
5RNODENLL (bits/dim)3.38Unverified
6Pixel CNNNLL (bits/dim)3.03Unverified
7score SDENLL (bits/dim)2.99Unverified
8Flow matchingNLL (bits/dim)2.99Unverified
9Pixel CNN ++NLL (bits/dim)2.92Unverified
10Image TransformerNLL (bits/dim)2.9Unverified
#ModelMetricClaimedVerifiedStatus
1DVP-VAENLL77.1Unverified
2PaddingFlowMMD-L211Unverified
3FFJORDNLL (bits/dim)0.99Unverified
4RNODENLL (bits/dim)0.97Unverified
5IdentityNLL (bits/dim)0.13Unverified
6MADE MoGLog-likelihood (nats)-1,038.5Unverified
#ModelMetricClaimedVerifiedStatus
1nMDMALog-likelihood1.78Unverified
2DDELog-likelihood0.97Unverified
3B-NAFLog-likelihood0.61Unverified
4FFJORDLog-likelihood0.46Unverified
5MADE MoGLog-likelihood0.4Unverified
6PaddingFlowCD0.14Unverified
#ModelMetricClaimedVerifiedStatus
1TANLog-likelihood159.8Unverified
2FFJORDLog-likelihood157.4Unverified
3B-NAFLog-likelihood157.36Unverified
4MADE MoGLog-likelihood153.71Unverified
5PaddingFlowCD0.5Unverified
#ModelMetricClaimedVerifiedStatus
1GlowNLL (bits/dim)4.09Unverified
2Image TransformerNLL (bits/dim)3.77Unverified
3VDMNLL (bits/dim)3.72Unverified
4i-DODENLL (bits/dim)3.69Unverified
5MuLANNLL (bits/dim)3.67Unverified
#ModelMetricClaimedVerifiedStatus
1B-NAFLog-likelihood12.06Unverified
2DDELog-likelihood9.73Unverified
3FFJORDLog-likelihood8.59Unverified
4MADE MoGLog-likelihood8.47Unverified
5PaddingFlowCD0.89Unverified
#ModelMetricClaimedVerifiedStatus
1PaddingFlowCD13.8Unverified
2DDELog-likelihood-11.3Unverified
3B-NAFLog-likelihood-14.71Unverified
4FFJORDLog-likelihood-14.92Unverified
5MADE MoGLog-likelihood-15.15Unverified
#ModelMetricClaimedVerifiedStatus
1PaddingFlowCD24.5Unverified
2DDELog-likelihood-6.94Unverified
3B-NAFLog-likelihood-8.95Unverified
4FFJORDLog-likelihood-10.43Unverified
5MADE MoGLog-likelihood-12.27Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO98.33Unverified
2B-NAFNegative ELBO94.83Unverified
3DVp-VAENLL89.07Unverified
4PaddingFlowMMD-L220.3Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO104.03Unverified
2B-NAFNegative ELBO94.91Unverified
3PaddingFlowMMD-L217.9Unverified
#ModelMetricClaimedVerifiedStatus
1FFJORDNegative ELBO4.39Unverified
2B-NAFNegative ELBO4.33Unverified
3PaddingFlowMMD-L20.62Unverified
#ModelMetricClaimedVerifiedStatus
1RNODELog-likelihood1.04Unverified
#ModelMetricClaimedVerifiedStatus
1MAFLog-likelihood5,872Unverified
#ModelMetricClaimedVerifiedStatus
1RNODELog-likelihood3.83Unverified