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 151–200 of 1394 papers

TitleStatusHype
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor SearchCode1
Decoupling Global and Local Representations via Invertible Generative FlowsCode1
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciencesCode1
TSDS: Data Selection for Task-Specific Model FinetuningCode1
Learning Differential Equations that are Easy to SolveCode1
DEAP Cache: Deep Eviction Admission and Prefetching for CacheCode1
An efficient manifold density estimator for all recommendation systemsCode1
Generative Modeling with Bayesian Sample InferenceCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Density estimation on low-dimensional manifolds: an inflation-deflation approachCode1
Generative Flows with Matrix ExponentialCode1
Deep Energy Estimator NetworksCode1
Glow: Generative Flow with Invertible 1x1 ConvolutionsCode1
Denoising Normalizing FlowCode1
Densely connected normalizing flowsCode1
Density Deconvolution with Normalizing FlowsCode1
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionCode1
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter ComplexityCode1
Density estimation using Real NVPCode1
Backpropagation through Combinatorial Algorithms: Identity with Projection WorksCode1
Graphical Normalizing FlowsCode1
Normalizing Flow-based Differentiable Particle FiltersCode1
Detecting and repairing arbitrage in traded option pricesCode1
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose ModelingCode1
Importance Weighted AutoencodersCode1
MADE: Masked Autoencoder for Distribution EstimationCode1
Score-Based Generative Modeling through Stochastic Differential EquationsCode1
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flowsCode0
ARTree: A Deep Autoregressive Model for Phylogenetic InferenceCode0
Gaussian Gated Linear NetworksCode0
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing FlowsCode0
Flows on convex polytopesCode0
Arbitrary Conditional Distributions with EnergyCode0
A Kernel Test of Goodness of FitCode0
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive LearningCode0
ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited SimulationsCode0
APRICOT: A Dataset of Physical Adversarial Attacks on Object DetectionCode0
FloMo: Tractable Motion Prediction with Normalizing FlowsCode0
Flowification: Everything is a Normalizing FlowCode0
A Good Score Does not Lead to A Good Generative ModelCode0
Approximate Stein Classes for Truncated Density EstimationCode0
Approaches Toward Physical and General Video Anomaly DetectionCode0
Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image SegmentationCode0
Flexible Tails for Normalizing FlowsCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
Gaussian map predictions for 3D surface feature localisation and countingCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
Fast Dynamic Routing Based on Weighted Kernel Density EstimationCode0
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density EstimationCode0
Fast Kernel Density Estimation with Density Matrices and Random Fourier FeaturesCode0
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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