Paper Citation Record · LEDGER

Dimension-independent rates for structured neural density estimation

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2411.15095.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.15095 v1

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measured 50 of 50 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:20.139758Z

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 9b1d7282-d570-4523-87b6-365aa83277fe · outbound

This paper cites Nearly tight sample complexity bounds for learning mixtures of gaussians via sample compression schemes.

Dimension-independent rates for structured neural density estimation Nearly tight sample complexity bounds for learning mixtures of gaussians via sample compression schemes

Reference 1

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Observation ec84ee53-5da4-4881-b33d-34f188a0dcd4 · outbound

This paper cites Universal approximation bounds for superpositions of a sigmoidal function.

Dimension-independent rates for structured neural density estimation Universal approximation bounds for superpositions of a sigmoidal function

Reference 2

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This paper cites Representation learning: A review and new perspectives.

Dimension-independent rates for structured neural density estimation Representation learning: A review and new perspectives

Reference 3

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Observation 04746206-12e6-4b78-8509-ffaee16e1988 · outbound

This paper cites Estimating a density near an unknown manifold: a Bayesian nonparametric approach.

Dimension-independent rates for structured neural density estimation Estimating a density near an unknown manifold: a Bayesian nonparametric approach

Reference 4

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Observation 1f46e7d9-7ee4-4891-a91c-fbf8d8249f42 · outbound

This paper cites Why deep learning works: A manifold disentanglement perspective.

Dimension-independent rates for structured neural density estimation Why deep learning works: A manifold disentanglement perspective

Reference 5

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Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 6

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Observation c7925e8e-c949-4aed-9fac-f90b86a05ae0 · outbound

This paper cites On the Local Behavior of Spaces of Natural Images.

Dimension-independent rates for structured neural density estimation On the Local Behavior of Spaces of Natural Images

Reference 7

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Observation 4fcfe376-2670-4cae-9f2a-a18b85235644 · outbound

This paper cites Stochastic processes, 2007.

Dimension-independent rates for structured neural density estimation Stochastic processes, 2007

Reference 8

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Observation 0195e75c-d85c-4d4a-9be6-b7ef8c3b7226 · outbound

This paper cites Structured neural networks for density estimation and causal inference.

Dimension-independent rates for structured neural density estimation Structured neural networks for density estimation and causal inference

Reference 9

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Observation c8cf9d1f-a952-4800-bd5f-f612ab9646c1 · outbound

This paper cites Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions.

Dimension-independent rates for structured neural density estimation Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions

Reference 10

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Observation c2d7d184-7ee6-4838-83f1-e39370fc43b3 · outbound

This paper cites Devroye and L.

Dimension-independent rates for structured neural density estimation Devroye and L

Reference 11

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Observation 073edc04-c5c9-4048-9003-58ce7e093f13 · outbound

This paper cites Devroye and G.

Dimension-independent rates for structured neural density estimation Devroye and G

Reference 12

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Observation 1e6fae17-295b-4fed-9fa5-4ab38b29dc68 · outbound

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Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 13

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Observation 5a4d3f16-28f5-4782-a9f3-e73ef3fbe90f · outbound

This paper cites Made: Masked autoencoder for distribution estimation.

Dimension-independent rates for structured neural density estimation Made: Masked autoencoder for distribution estimation

Reference 14

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Observation 7429b174-b5dc-4105-91f8-ddfbaf92d5a6 · outbound

This paper cites Tree density estimation.

Dimension-independent rates for structured neural density estimation Tree density estimation

Reference 15

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Observation 29249de0-6873-4064-92c4-3176b4ff48a6 · outbound

This paper cites Markov fields on finite graphs and lattices.

Dimension-independent rates for structured neural density estimation Markov fields on finite graphs and lattices

Reference 16

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Observation 312d3e7c-48d1-4271-94f7-6cc4ea04e0e5 · outbound

This paper cites Denoising diffusion probabilistic models.

Dimension-independent rates for structured neural density estimation Denoising diffusion probabilistic models

Reference 17

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Observation 7ede7adf-797e-44cb-b7a6-c76066aee66c · outbound

This paper cites Uniform convergence rates for kernel density estimation.

Dimension-independent rates for structured neural density estimation Uniform convergence rates for kernel density estimation

Reference 18

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Observation fd7bc160-fa9b-475a-a30f-15f84598e40f · outbound

This paper cites Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors.

Dimension-independent rates for structured neural density estimation Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors

Reference 19

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Observation c29c6d3f-e486-4c6a-a83c-3d64dc8ac791 · outbound

This paper cites Composing graphical models with neural networks for structured representations and fast inference.

Dimension-independent rates for structured neural density estimation Composing graphical models with neural networks for structured representations and fast inference

Reference 20

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Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 21

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This paper cites Causal autoregressive flows.

Dimension-independent rates for structured neural density estimation Causal autoregressive flows

Reference 22

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Dimension-independent rates for structured neural density estimation Klusowski and Andrew R

Reference 23

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Observation fbc2e753-791b-46d2-ac43-93d4cb0b66e3 · outbound

This paper cites Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable.

Dimension-independent rates for structured neural density estimation Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable

Reference 24

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Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 25

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Observation 8966f44c-7fd9-4437-8310-5d951b0909c2 · outbound

This paper cites How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View.

Dimension-independent rates for structured neural density estimation How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View

Reference 26

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Dimension-independent rates for structured neural density estimation Microsoft COCO: Common Objects in Context

Reference 27

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Dimension-independent rates for structured neural density estimation Forest density estimation

Reference 28

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This paper cites The barron space and the flow-induced function spaces for neural network models.

Dimension-independent rates for structured neural density estimation The barron space and the flow-induced function spaces for neural network models

Reference 29

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Dimension-independent rates for structured neural density estimation Neural networks for density estimation

Reference 30

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This paper cites Adaptive approximation and generalization of deep neural network with intrinsic dimensionality.

Dimension-independent rates for structured neural density estimation Adaptive approximation and generalization of deep neural network with intrinsic dimensionality

Reference 31

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Dimension-independent rates for structured neural density estimation Diffusion models are minimax optimal distribution estimators

Reference 32

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Dimension-independent rates for structured neural density estimation Deep generative models: Survey

Reference 33

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This paper cites Submanifold density estimation.

Dimension-independent rates for structured neural density estimation Submanifold density estimation

Reference 34

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Dimension-independent rates for structured neural density estimation Kernel density estimation on riemannian manifolds

Reference 35

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Dimension-independent rates for structured neural density estimation The intrinsic dimension of images and its impact on learning

Reference 36

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This paper cites A Useful Convergence Theorem for Probability Distributions.

Dimension-independent rates for structured neural density estimation A Useful Convergence Theorem for Probability Distributions

Reference 37

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This paper cites Nonparametric regression using deep neural networks with ReLU activation function.

Dimension-independent rates for structured neural density estimation Nonparametric regression using deep neural networks with ReLU activation function

Reference 38

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Dimension-independent rates for structured neural density estimation Deep ReLU network approximation of functions on a manifold

Reference 39

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Dimension-independent rates for structured neural density estimation Nonparametric density estimation under adversarial losses

Reference 40

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Observation 83d3ed78-7410-43cb-baed-84e5ccb4fad3 · outbound

This paper cites Adaptivity of diffusion models to manifold structures.

Dimension-independent rates for structured neural density estimation Adaptivity of diffusion models to manifold structures

Reference 41

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Observation eaeb8100-bcb6-446b-9eac-ae440cd5bf9d · outbound

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Dimension-independent rates for structured neural density estimation Tsybakov

Reference 42

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Observation dea39a43-bd7b-42e7-9d74-a2f0e86ed17e · outbound

This paper cites Nonparametric density estimation & convergence rates for GAN s under B esov IPM losses.

Dimension-independent rates for structured neural density estimation Nonparametric density estimation & convergence rates for GAN s under B esov IPM losses

Reference 43

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This paper cites Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance.

Dimension-independent rates for structured neural density estimation Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance

Reference 44

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Dimension-independent rates for structured neural density estimation Graphical normalizing flows

Reference 45

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Dimension-independent rates for structured neural density estimation Yatracos

Reference 46

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Dimension-independent rates for structured neural density estimation write newline

Reference 48

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Dimension-independent rates for structured neural density estimation @esa (Ref

Reference 49

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Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 50

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This paper cites Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions.

Dimension-independent rates for structured neural density estimation Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.139758Z

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