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
Normalizing Flows with Multi-Scale Autoregressive PriorsCode1
Flows for simultaneous manifold learning and density estimationCode1
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEsCode1
Gradient Boosted Normalizing FlowsCode1
Modeling Continuous Stochastic Processes with Dynamic Normalizing FlowsCode1
VFlow: More Expressive Generative Flows with Variational Data AugmentationCode1
Latent Variable Modelling with Hyperbolic Normalizing FlowsCode1
Characterizing Structural Regularities of Labeled Data in Overparameterized ModelsCode1
How to train your neural ODE: the world of Jacobian and kinetic regularizationCode1
GraphAF: a Flow-based Autoregressive Model for Molecular Graph GenerationCode1
Neural Spline FlowsCode1
Residual Flows for Invertible Generative ModelingCode1
From Variational to Deterministic AutoencodersCode1
Counting with Focus for FreeCode1
MaCow: Masked Convolutional Generative FlowCode1
Invertible Residual NetworksCode1
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative ModelsCode1
Glow: Generative Flow with Invertible 1x1 ConvolutionsCode1
Deep Energy Estimator NetworksCode1
PixelSNAIL: An Improved Autoregressive Generative ModelCode1
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random VariablesCode1
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other ModificationsCode1
Density estimation using Real NVPCode1
Importance Weighted AutoencodersCode1
MADE: Masked Autoencoder for Distribution EstimationCode1
Representation Learning: A Review and New PerspectivesCode1
Point-Set Registration: Coherent Point DriftCode1
Missing value imputation with adversarial random forests -- MissARF—0
3C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images—0
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis—0
Binned semiparametric Bayesian networksCode0
Distilling Normalizing Flows—0
Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM DatasetCode0
Unsupervised Skill Discovery through Skill Regions Differentiation—0
SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning—0
Measuring multi-calibration—0
Dense Associative Memory with Epanechnikov Energy—0
Exploring bidirectional bounds for minimax-training of Energy-based models—0
Kernel k-Medoids as General Vector Quantization—0
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps—0
Sensitivity-Aware Density Estimation in Multiple Dimensions—0
Minimax Rates for the Estimation of Eigenpairs of Weighted Laplace-Beltrami Operators on Manifolds—0
Transfer learning for multifidelity simulation-based inference in cosmology—0
TabPFN: One Model to Rule Them All?Code0
Querying Kernel Methods Suffices for Reconstructing their Training DataCode0
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares—0
Liouville PDE-based sliced-Wasserstein flow for fair regression—0
Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization—0
Deep Unfolding with Kernel-based Quantization in MIMO Detection—0
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow—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