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 301–350 of 1394 papers

TitleStatusHype
Video prediction using score-based conditional density estimation—0
Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech—0
Governing equation discovery of a complex system from snapshots—0
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering—0
WeSpeR: Population spectrum retrieval and spectral density estimation of weighted sample covariance—0
A Note on Shumailov et al. (2024): `AI Models Collapse When Trained on Recursively Generated Data'—0
Generalized Distribution Prediction for Asset ReturnsCode0
Conditional Density Estimation with Histogram TreesCode0
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo—0
Breaking the curse of dimensionality in structured density estimation—0
Density estimation with LLMs: a geometric investigation of in-context learning trajectories—0
Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Search—0
Inference with K-means—0
Local Flow Matching Generative ModelsCode0
Bayesian Binary Search—0
Schrödinger bridge based deep conditional generative learning—0
Improving satellite imagery segmentation using multiple Sentinel-2 revisitsCode0
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards—0
Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions—0
From optimal score matching to optimal sampling—0
Average Causal Effect Estimation in DAGs with Hidden Variables: Extensions of Back-Door and Front-Door CriteriaCode0
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images—0
Differentially Private Kernel Density Estimation—0
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection—0
Quasi-Bayesian sequential deconvolution—0
Prior Learning in Introspective VAEs—0
TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization—0
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning—0
Latent Anomaly Detection Through Density Matrices—0
Kernel Density Estimators in Large Dimensions—0
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning—0
Estimating Pore Location of PBF-LB/M Processes with Segmentation Models—0
Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray ImageCode0
Estimating Probability Densities with Transformer and Denoising DiffusionCode0
Learning Distances from Data with Normalizing Flows and Score Matching—0
Entropy-Informed Weighting Channel Normalizing FlowCode0
Agnostic Private Density Estimation for GMMs via List Global Stability—0
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection—0
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive LearningCode0
Uniform Transformation: Refining Latent Representation in Variational AutoencodersCode0
Instance-Optimal Private Density Estimation in the Wasserstein Distance—0
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI—0
Flexible Tails for Normalizing FlowsCode0
High-probability minimax lower bounds—0
Quasi-Bayes meets Vines—0
Diffusion Generative Modelling for Divide-and-Conquer MCMCCode0
Injective flows for star-like manifolds—0
MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit DesignCode0
Efficient Mixture Learning in Black-Box Variational InferenceCode0
Faster Spectral Density Estimation and Sparsification in the Nuclear Norm—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