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 301350 of 1394 papers

TitleStatusHype
Graphite: Iterative Generative Modeling of GraphsCode0
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map ForecastingCode0
Average Causal Effect Estimation in DAGs with Hidden Variables: Extensions of Back-Door and Front-Door CriteriaCode0
Generative Model with Dynamic Linear FlowCode0
Generalized Distribution Prediction for Asset ReturnsCode0
A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excessCode0
Gaussian map predictions for 3D surface feature localisation and countingCode0
Autoregressive Energy MachinesCode0
Crowd Counting via Adversarial Cross-Scale Consistency PursuitCode0
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flowsCode0
Gaussian Gated Linear NetworksCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential EquationsCode0
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive LearningCode0
FloMo: Tractable Motion Prediction with Normalizing FlowsCode0
Flowification: Everything is a Normalizing FlowCode0
Flexible Tails for Normalizing FlowsCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
Fast Nonparametric Conditional Density EstimationCode0
Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the WildCode0
Fast Private Kernel Density Estimation via Locality Sensitive QuantizationCode0
AutoGMM: Automatic and Hierarchical Gaussian Mixture Modeling in PythonCode0
Fast Kernel Density Estimation with Density Matrices and Random Fourier FeaturesCode0
Fast Dynamic Routing Based on Weighted Kernel Density EstimationCode0
Counterfactual Generative Models for Time-Varying TreatmentsCode0
Generalizable Pose Estimation Using Implicit Scene RepresentationsCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
Counterfactual experience augmented off-policy reinforcement learningCode0
Cosmological Parameter Estimation with Sequential Linear Simulation-based InferenceCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State ObservationsCode0
Exponential Family Model-Based Reinforcement Learning via Score MatchingCode0
Copula Density Neural EstimationCode0
A density estimation perspective on learning from pairwise human preferencesCode0
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement LearningCode0
Extremely Randomized CNets for Multi-label ClassificationCode0
Gaussian Mixture Reduction with Composite Transportation DivergenceCode0
Converting High-Dimensional Regression to High-Dimensional Conditional Density EstimationCode0
Data Structures for Density EstimationCode0
High-dimensional and Permutation Invariant Anomaly DetectionCode0
A Deep Learning Approach to Probabilistic Forecasting of WeatherCode0
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparisonCode0
EX2: Exploration with Exemplar Models for Deep Reinforcement LearningCode0
Estimating Feature-Label Dependence Using Gini Distance StatisticsCode0
Estimating Density Models with Truncation Boundaries using Score MatchingCode0
InceptionHuman: Controllable Prompt-to-NeRF for Photorealistic 3D Human GenerationCode0
Estimating Probability Densities with Transformer and Denoising DiffusionCode0
Entropy-Informed Weighting Channel Normalizing FlowCode0
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian OptimizationCode0
On the representation and learning of monotone triangular transport mapsCode0
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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