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 701–750 of 1394 papers

TitleStatusHype
Minimax Optimal Algorithms with Fixed-k-Nearest NeighborsCode0
Cyber-resilience for marine navigation by information fusion and change detection—0
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
A Non-Classical Parameterization for Density Estimation Using Sample Moments—0
Density reconstruction from schlieren images through Bayesian nonparametric modelsCode0
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
Tractable Density Estimation on Learned Manifolds with Conformal Embedding FlowsCode0
A sampling-based circuit for optimal decision making—0
On Memorization in Probabilistic Deep Generative ModelsCode0
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments—0
Characteristic Neural Ordinary Differential Equations—0
Tree density estimation—0
Efficient Bayesian Inverse Reinforcement Learning via Conditional Kernel Density Estimation—0
Expert-Guided Symmetry Detection in Markov Decision Processes—0
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
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation—0
Data-driven Uncertainty Quantification in Computational Human Head Models—0
Robust Ellipsoid-specific Fitting via Expectation Maximization—0
Kernel density estimation-based sampling for neural network classification—0
Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image SegmentationCode0
A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excessCode0
Information Theoretic Structured Generative ModelingCode0
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation—0
Implicit Riemannian Concave Potential Maps—0
Calibration Regularized Training of Deep Neural Networks using Kernel Density Estimation—0
Kernel Density Decision Trees—0
Discovering the neural correlate informed nosological relation among multiple neuropsychiatric disorders through dual utilisation of diagnostic information—0
Density Estimation for Conservative Q-Learning—0
ARMCMC: Online Bayesian Density Estimation of Model Parameters—0
Mutual Information Continuity-constrained Estimator—0
FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis—0
Fast Density Estimation for Density-based Clustering Methods—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