Nonparametric Deconvolution and Denoising using Simulation Based Inference | Paper Citation Record

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This paper cites Chapman and Hall/CRC, 2006.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Chapman and Hall/CRC, 2006

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This paper cites Deconvolution in astronomy: A review.Publications of the Astronomical Society of the Pacific, 114:1051–1069, 2002.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Deconvolution in astronomy: A review.Publications of the Astronomical Society of the Pacific, 114:1051–1069, 2002

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Unresolved cited work

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This paper cites 2025b, arXiv e-prints, arXiv:2502.17674, arXiv:2502.17674 Astropy Collaboration, Robitaille, T.

Nonparametric Deconvolution and Denoising using Simulation Based Inference 2025b, arXiv e-prints, arXiv:2502.17674, arXiv:2502.17674 Astropy Collaboration, Robitaille, T

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This paper cites Weak lensing shear calibration with simulations of the hsc survey.Monthly Notices of the Royal Astronomical Society, 481:3170–3195, 2018.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Weak lensing shear calibration with simulations of the hsc survey.Monthly Notices of the Royal Astronomical Society, 481:3170–3195, 2018

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This paper cites Eddington’s demon: inferring galaxy mass functions and other distributions from uncertain data.Monthly Notices of the Royal Astronomical Society, 474:5500–5522, 2018.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Eddington’s demon: inferring galaxy mass functions and other distributions from uncertain data.Monthly Notices of the Royal Astronomical Society, 474:5500–5522, 2018

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This paper cites Measurement error and the replication crisis.Science, 355:584–585, 2017.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Measurement error and the replication crisis.Science, 355:584–585, 2017

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This paper cites Bayesian-based iterative method of image restoration.Journal of the Optical Society of America, 62:55–59, 1972.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Bayesian-based iterative method of image restoration.Journal of the Optical Society of America, 62:55–59, 1972

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This paper cites An iterative technique for the rectification of observed distributions.Astronomical Journal, 79:745, 1974.

Nonparametric Deconvolution and Denoising using Simulation Based Inference An iterative technique for the rectification of observed distributions.Astronomical Journal, 79:745, 1974

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This paper cites A deep generative deconvolutional image model.

Nonparametric Deconvolution and Denoising using Simulation Based Inference A deep generative deconvolutional image model

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This paper cites Digital image reconstruction: Deblurring and denoising.Annual Review of Astronomy and Astrophysics, 43:139–194, 2005.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Digital image reconstruction: Deblurring and denoising.Annual Review of Astronomy and Astrophysics, 43:139–194, 2005

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This paper cites Density Deconvolution with Normalizing Flows.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Density Deconvolution with Normalizing Flows

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This paper cites Machines learn to infer stellar parameters just by looking at a large number of spectra.Monthly Notices of the Royal Astronomical Society, 501(4):6026–6041, 2021.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Machines learn to infer stellar parameters just by looking at a large number of spectra.Monthly Notices of the Royal Astronomical Society, 501(4):6026–6041, 2021

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This paper cites Data denoising with transfer learning in single-cell transcriptomics.Nature methods, 16(9):875–878, 2019.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Data denoising with transfer learning in single-cell transcriptomics.Nature methods, 16(9):875–878, 2019

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This paper cites Hyperspectral image denoising: From model-driven, data-driven, to model-data-driven.IEEE Transactions on Neural Networks and Learning Systems, 35(10):13143–13163, 2023.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Hyperspectral image denoising: From model-driven, data-driven, to model-data-driven.IEEE Transactions on Neural Networks and Learning Systems, 35(10):13143–13163, 2023

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This paper cites Optimal rates of convergence for deconvolving a density.Journal of the American Statistical Association, 83:1184–1186, 1988.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Optimal rates of convergence for deconvolving a density.Journal of the American Statistical Association, 83:1184–1186, 1988

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This paper cites A consistent nonparametric density estimator for the deconvolution problem.

Nonparametric Deconvolution and Denoising using Simulation Based Inference A consistent nonparametric density estimator for the deconvolution problem

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Deconvolving kernel density estimators.Statistics, 21:169–184, 1990

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This paper cites On the optimal rates of convergence for nonparametric deconvolution problems.Annals of Statistics, 19:1257–1272, 1991.

Nonparametric Deconvolution and Denoising using Simulation Based Inference On the optimal rates of convergence for nonparametric deconvolution problems.Annals of Statistics, 19:1257–1272, 1991

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This paper cites Density estimation with heteroscedastic error.Bernoulli, 14:562–579, 2008.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Density estimation with heteroscedastic error.Bernoulli, 14:562–579, 2008

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Discrete-transform approach to deconvolution problems.Biometrika, 92:135–148, 2005

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This paper cites Variational inference with normalizing flows.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Variational inference with normalizing flows

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Glow: generative flow with invertible 1 × 1 convolutions

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This paper cites Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22:1–64, 2021.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22:1–64, 2021

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Stochastic forward–backward deconvolution: Training diffusion models with finite noisy datasets

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood.Journal of the Royal Statistical Society Series B: Statistical Methodology, 87:1–32, 2025

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Extreme deconvolution: Inferring complete distribution functions from noisy, heterogeneous and incomplete observations.Annals of Applied Statistics, 5:1657–1677, 2011

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Convolutional Maximum Mean Discrepancy for Inference in Noisy Data

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Bayes, oracle bayes and empirical bayes.Statistical Science, 34:177–201, 2019

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Borgwardt, Malte J

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Hilbert space embeddings and metrics on probability measures.Journal of Machine Learning Research, 11:1517–1561, 2010

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Approximation and convergence properties of generative adversarial learning.Advances in Neural Information Processing Systems, 30, 2017

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106:1602– 1614, 2011

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Rates of convergence for the Gaussian mixture sieve.Annals of Statistics, 28:1105–1127, 2000

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities.Annals of Statistics, 29:1233–1263, 2001

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Generative adversarial nets

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Deep unsupervised learning using nonequilibrium thermodynamics

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Score- based generative modeling through stochastic differential equations

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Coupling- based invertible neural networks are universal diffeomorphism approximators.Advances in Neural Information Processing Systems, 33:3362–3373, 2020

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Universal robust regression via maximum mean discrepancy.Biometrika, 111(1):71–92, 2024

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Nonparametric Deconvolution and Denoising using Simulation Based Inference On the rate of convergence in Wasserstein distance of the empirical measure

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Nonparametric Deconvolution and Denoising using Simulation Based Inference MMD GAN: Towards deeper understanding of moment matching network.Advances in Neural Information Processing Systems, 30:1–11, 2017

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Noise2self: Blind denoising by self-supervision

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Blind universal bayesian image denoising with gaussian noise level learning.IEEE Transactions on Image Processing, 29:4885–4897, 2020

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Nonparametric Deconvolution and Denoising using Simulation Based Inference A review of image denoising algorithms, with a new one

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Nonparametric Deconvolution and Denoising using Simulation Based Inference Image denoising by sparse 3-d transform-domain collaborative filtering.IEEE Transactions on Image Processing, 16:2080–2095, 2007

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This paper cites Taming diffusion models for image restoration: a review.Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383, 2025.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Taming diffusion models for image restoration: a review.Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383, 2025

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation b18dcfa3-db8e-4d29-9f2d-39748e467bb3 · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Spectral Normalization for Generative Adversarial Networks

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Resolution: verified exact; local_arxiv, observed 2026-07-04T08:09:41.659795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7fcc851-35de-4a0d-9abf-4b1588c8887a · outbound

This paper cites How well generative adversarial networks learn distributions.Journal of Machine Learning Research, 22:1–41, 2021.

Nonparametric Deconvolution and Denoising using Simulation Based Inference How well generative adversarial networks learn distributions.Journal of Machine Learning Research, 22:1–41, 2021

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation b02ff2f7-4099-4a19-81cf-1bb2f08535c6 · outbound

This paper cites Error bounds for approximations with deep ReLU networks.Neural Networks, 94:103–114, 2017.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Error bounds for approximations with deep ReLU networks.Neural Networks, 94:103–114, 2017

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation 5374a734-a041-4e09-827c-9f7c8074f803 · outbound

This paper cites MIT Press, 2016.

Nonparametric Deconvolution and Denoising using Simulation Based Inference MIT Press, 2016

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation a68daaa8-dd96-42fb-8d60-901950b72269 · outbound

This paper cites On the method of bounded differences.Surveys in Combinatorics, 141:148–188, 1989.

Nonparametric Deconvolution and Denoising using Simulation Based Inference On the method of bounded differences.Surveys in Combinatorics, 141:148–188, 1989

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation 26586524-fdbf-4ab7-9ef2-636f2e5b0462 · outbound

This paper cites McGraw Hill, 1974.

Nonparametric Deconvolution and Denoising using Simulation Based Inference McGraw Hill, 1974

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation c5fa3727-5456-4024-b6f6-8e40edf7e256 · outbound

This paper cites Elsevier, 2003.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Elsevier, 2003

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation 12d5e3c0-b169-4be7-a2f0-2fd3c3c69cbf · outbound

This paper cites John Wiley & Sons, 1999.

Nonparametric Deconvolution and Denoising using Simulation Based Inference John Wiley & Sons, 1999

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation bbf3ca09-afe8-4875-8e9b-10f32125615e · outbound

This paper cites Decoupled weight decay regularization.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Decoupled weight decay regularization

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Resolution: unresolved; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation 580ef11a-7ff7-448f-bfae-6a41ee9af878 · outbound

This paper cites A practical introduction to kernel discrepancies: Mmd, hsic & ksd.arXiv preprint arXiv:2503.04820, 2025.

Nonparametric Deconvolution and Denoising using Simulation Based Inference A practical introduction to kernel discrepancies: Mmd, hsic & ksd.arXiv preprint arXiv:2503.04820, 2025

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Resolution: verified exact; arxiv_id, observed 2026-07-04T08:09:41.666114Z

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Observation 277bda04-4846-4514-b320-3a80da8029d2 · outbound

This paper cites Mmd-fuse: Learning and combining kernels for two-sample testing without data splitting.Advances in Neural Information Processing Systems, 36:75151–75188, 2023.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Mmd-fuse: Learning and combining kernels for two-sample testing without data splitting.Advances in Neural Information Processing Systems, 36:75151–75188, 2023

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Resolution: malformed identifier; no resolver link, observed 2026-06-26T12:06:01.643339Z

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Observation 2287f1c2-7a5a-4916-8afe-9e0ca25df811 · outbound

This paper cites Here, we verify the sensitivity of the learned prior and downstream denoising performance on bandwidth choice.

Nonparametric Deconvolution and Denoising using Simulation Based Inference Here, we verify the sensitivity of the learned prior and downstream denoising performance on bandwidth choice

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Resolution: malformed identifier; no resolver link, observed 2026-06-26T12:06:01.643339Z

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