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 1001–1050 of 1394 papers

TitleStatusHype
On-line Bayesian parameter estimation in general non-linear state-space models: A tutorial and new results—0
Online Estimation via Offline Estimation: An Information-Theoretic Framework—0
Online Semi-Supervised Concept Drift Detection with Density Estimation—0
Online Traffic Density Estimation using Physics-Informed Neural Networks—0
Total stochastic gradient algorithms and applications in reinforcement learning—0
Toward a Characterization of Loss Functions for Distribution Learning—0
On minimax density estimation via measure transport—0
Amortized Inference Regularization—0
Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions—0
On the contraction properties of Sinkhorn semigroups—0
Towards Automated Animal Density Estimation with Acoustic Spatial Capture-Recapture—0
On the Discrepancy between Density Estimation and Sequence Generation—0
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction—0
On the minimax optimality of Flow Matching through the connection to kernel density estimation—0
On the use of Wasserstein metric in topological clustering of distributional data—0
On Tuning Neural ODE for Stability, Consistency and Faster Convergence—0
Towards Healing the Blindness of Score Matching—0
Optimally adaptive Bayesian spectral density estimation for stationary and nonstationary processes—0
Optimal Randomized Approximations for Matrix based Renyi's Entropy—0
Optimal rates for k-NN density and mode estimation—0
Optimisation-free Classification and Density Estimation with Quantum Circuits—0
Optimized Kernel Entropy Components—0
Mitigating Bias in Dataset Distillation—0
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression—0
A maximal inequality for local empirical processes under weak dependence—0
Outlier Detection in High Dimensional Data—0
Out-of-Distribution Detection of Melanoma using Normalizing Flows—0
Out-of-distribution detection using normalizing flows on the data manifold—0
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay—0
High-Dimensional Non-Parametric Density Estimation in Mixed Smooth Sobolev Spaces—0
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders—0
Parallel Multiscale Autoregressive Density Estimation—0
Parameter and density estimation from real-world traffic data: A kinetic compartmental approach—0
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships—0
Parametric Density Estimation with Uncertainty using Deep Ensembles—0
Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost—0
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds—0
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation—0
Performance analysis for L\_2 kernel classification—0
Permutation invariant functions: statistical tests, density estimation, and computationally efficient embedding—0
Towards Theoretical Understandings of Self-Consuming Generative Models—0
Persistent Homology for Learning Densities with Bounded Support—0
3C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images—0
A Mathematical Framework for Learning Probability Distributions—0
PGNAA Spectral Classification of Metal with Density Estimations—0
A marginal sampler for σ-Stable Poisson-Kingman mixture models—0
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images—0
Video prediction using score-based conditional density estimation—0
A Many-Objective Evolutionary Algorithm with Angle-Based Selection and Shift-Based Density Estimation—0
Alternators With Noise Models—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