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 1101–1150 of 1394 papers

TitleStatusHype
Transfer learning for multifidelity simulation-based inference in cosmology—0
Quickest Change Detection with Leave-one-out Density Estimation—0
A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation—0
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data—0
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings—0
Rapid parametric density estimation—0
Rate-optimal Meta Learning of Classification Error—0
Rates of convergence for density estimation with generative adversarial networks—0
Transformation Autoregressive Networks—0
Transformer Neural Autoregressive Flows—0
LGBQPC: Local Granular-Ball Quality Peaks Clustering—0
Recurrent Estimation of Distributions—0
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
Best-scored Random Forest Density Estimation—0
A Flow-Based Neural Network for Time Domain Speech Enhancement—0
Tree density estimation—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation—0
Regularized Multi-Task Learning for Multi-Dimensional Log-Density Gradient Estimation—0
Relational Attention Network for Crowd Counting—0
Relaxed Softmax for learning from Positive and Unlabeled data—0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module—0
Representation Learning with Information Theory for COVID-19 Detection—0
C-Learning: Learning to Achieve Goals via Recursive Classification—0
CLIP: Train Faster with Less Data—0
Closed-Loop Neural Operator-Based Observer of Traffic Density—0
ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures—0
Clustering by Deep Nearest Neighbor Descent (D-NND): A Density-based Parameter-Insensitive Clustering Method—0
Clustering consistency with Dirichlet process mixtures—0
Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances—0
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density—0
Reproducing Kernels and New Approaches in Compositional Data Analysis—0
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations—0
Collaborative Anomaly Detection—0
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis—0
Color Constancy with Derivative Colors—0
Color Orchestra: Ordering Color Palettes for Interpolation and Prediction—0
Combined approach for automatic and robust calculation of dominant frequency of electrogastrogram—0
Combining local and global smoothing in multivariate density estimation—0
Communication-Efficient Distributed Learning of Discrete Distributions—0
Complete gradient clustering algorithm for features analysis of x-ray images—0
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation—0
Characteristic Neural Ordinary Differential Equations—0
Complexity measure, kernel density estimation, bandwidth selection, and the efficient market hypothesis—0
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold—0
Computational Challenges in Non-parametric Prediction of Bradycardia in Preterm Infants—0
Computing on Functions Using Randomized Vector Representations—0
Concentration inequalities for leave-one-out cross validation—0
Concrete Score Matching: Generalized Score Matching for Discrete Data—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