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Paper Citation Record · LEDGER

Learning convolution operators on compact Abelian groups

As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2501.05279.

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pith.paper-citation-record.v1
2501.05279 v3

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measured 48 of 48 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

48 of 48 outbound references displayed

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Outbound references

Observation c871ab6e-1a6a-42b0-85fe-64b5887428f1 · outbound

This paper cites Solving inverse prob- lems using data-driven models.

Learning convolution operators on compact Abelian groups Solving inverse prob- lems using data-driven models

Reference 1

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This paper cites Harmonic Analysis on Semigroups: Theory of Positive Definite and Related Functions.

Learning convolution operators on compact Abelian groups Harmonic Analysis on Semigroups: Theory of Positive Definite and Related Functions

Reference 2

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This paper cites A double regularization approach for inverse problems with noisy data and inexact operator.

Learning convolution operators on compact Abelian groups A double regularization approach for inverse problems with noisy data and inexact operator

Reference 3

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This paper cites Learning Green’s functions associ- ated with time-dependent partial differential equations.

Learning convolution operators on compact Abelian groups Learning Green’s functions associ- ated with time-dependent partial differential equations

Reference 4

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This paper cites Brunton and J.

Learning convolution operators on compact Abelian groups Brunton and J

Reference 5

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This paper cites Regularization methods for blind deconvolution and blind source separation problems.

Learning convolution operators on compact Abelian groups Regularization methods for blind deconvolution and blind source separation problems

Reference 6

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This paper cites Optimal rates for the regularized least-squares algo- rithm.

Learning convolution operators on compact Abelian groups Optimal rates for the regularized least-squares algo- rithm

Reference 7

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This paper cites Vector valued reproducing kernel Hilbert spaces of integrable functions and Mercer theorem.

Learning convolution operators on compact Abelian groups Vector valued reproducing kernel Hilbert spaces of integrable functions and Mercer theorem

Reference 8

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This paper cites Fast motion deblurring.

Learning convolution operators on compact Abelian groups Fast motion deblurring

Reference 9

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This paper cites Asymptotics of prediction in functional linear regression with functional outputs.

Learning convolution operators on compact Abelian groups Asymptotics of prediction in functional linear regression with functional outputs

Reference 10

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This paper cites Conver- gence rates for learning linear operators from noisy data.

Learning convolution operators on compact Abelian groups Conver- gence rates for learning linear operators from noisy data

Reference 11

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This paper cites Nonlinear image processing using artificial neural networks.

Learning convolution operators on compact Abelian groups Nonlinear image processing using artificial neural networks

Reference 12

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This paper cites Learning from examples as an inverse problem.

Learning convolution operators on compact Abelian groups Learning from examples as an inverse problem

Reference 13

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Learning convolution operators on compact Abelian groups Egmont-Petersen, D

Reference 14

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Learning convolution operators on compact Abelian groups Unresolved cited work

Reference 15

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Learning convolution operators on compact Abelian groups Physics-informed deep neural operator networks

Reference 16

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Learning convolution operators on compact Abelian groups Unresolved cited work

Reference 17

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Learning convolution operators on compact Abelian groups Unresolved cited work

Reference 18

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Learning convolution operators on compact Abelian groups A note on estimation in Hilbertian linear models

Reference 19

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This paper cites A general framework for soft-shrinkage with applications to blind deconvolution and wavelet denoising.

Learning convolution operators on compact Abelian groups A general framework for soft-shrinkage with applications to blind deconvolution and wavelet denoising

Reference 20

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Learning convolution operators on compact Abelian groups Operator-valued kernels for learning from functional response data

Reference 21

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Learning convolution operators on compact Abelian groups Neural operator: Learning maps between function spaces

Reference 22

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Learning convolution operators on compact Abelian groups Operator Learning: Algorithms and Analysis

Reference 23

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Learning convolution operators on compact Abelian groups Kundur and D

Reference 24

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Learning convolution operators on compact Abelian groups An RKHS framework for functional data analysis

Reference 25

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Learning convolution operators on compact Abelian groups Minimax prediction for functional linear regression with functional responses in reproducing kernel hilbert spaces

Reference 26

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Learning convolution operators on compact Abelian groups System Identification: Theory for the User

Reference 27

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Learning convolution operators on compact Abelian groups Linear processes for functional data

Reference 28

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Learning convolution operators on compact Abelian groups On some extensions of Bernstein’s inequality for self-adjoint operators

Reference 29

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Learning convolution operators on compact Abelian groups Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem

Reference 30

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Learning convolution operators on compact Abelian groups Optimum bounds for the distributions of martingales in Banach spaces

Reference 31

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Learning convolution operators on compact Abelian groups Optimum bounds for the distributions of martingales in Banach spaces

Reference 32

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Learning convolution operators on compact Abelian groups Unresolved cited work

Reference 33

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Learning convolution operators on compact Abelian groups Functional regression with repeated eigenvalues

Reference 34

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Learning convolution operators on compact Abelian groups Model selection and error esti- mation for regularized least-squares algorithm in learning theory

Reference 35

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Learning convolution operators on compact Abelian groups Less is more: Nystr¨ om computa- tional regularization

Reference 36

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Observation d2157c08-88aa-4e18-8678-d00ef5dfdbcc · outbound

This paper cites On the Sample Complexity of Subspace Learning.

Learning convolution operators on compact Abelian groups On the Sample Complexity of Subspace Learning

Reference 37

Resolution
verified exact
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Observation 5b7cc81b-3c02-4ef8-addb-84a9a35b4cc6 · outbound

This paper cites Fourier Analysis on Groups.

Learning convolution operators on compact Abelian groups Fourier Analysis on Groups

Reference 38

Resolution
verified fuzzy
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Observation 7d5efdc3-ddcf-402b-a2d7-17cc1d0ab68f · outbound

This paper cites Partial differential equations in action: from modelling to theory, volume 99.

Learning convolution operators on compact Abelian groups Partial differential equations in action: from modelling to theory, volume 99

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:59.835161Z

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Observation ffc70a20-8b34-4dd2-ad87-d13e79389dcc · outbound

This paper cites Dis- criminative non-blind deblurring.

Learning convolution operators on compact Abelian groups Dis- criminative non-blind deblurring

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bbb94451-43e0-4566-8e6a-a03d3c34b2e2 · outbound

This paper cites Learning to deblur.

Learning convolution operators on compact Abelian groups Learning to deblur

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a57df668-913c-419c-aa23-d7d552b1a476 · outbound

This paper cites Sous-espaces hilbertiens d’espaces vectoriels topologiques et noyaux associ´ es (noyaux reproduisants).

Learning convolution operators on compact Abelian groups Sous-espaces hilbertiens d’espaces vectoriels topologiques et noyaux associ´ es (noyaux reproduisants)

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 396e0013-1305-4c36-8ca2-31499cffdf39 · outbound

This paper cites Learning Schatten--von Neumann Operators.

Learning convolution operators on compact Abelian groups Learning Schatten--von Neumann Operators

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:59.604805Z

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Unavailable: canonical work link unavailable.

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Observation c2c2705b-c542-40ea-bf1f-96f31138271d · outbound

This paper cites Bayesian inverse problems with unknown operators.

Learning convolution operators on compact Abelian groups Bayesian inverse problems with unknown operators

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5c25a0e7-5c90-4b97-becf-be1a63da0753 · outbound

This paper cites User-friendly tools for random matrices: An introduction.

Learning convolution operators on compact Abelian groups User-friendly tools for random matrices: An introduction

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 25808c4d-b3c0-4187-a892-c2fa23897a28 · outbound

This paper cites Two-phase kernel estimation for robust motion deblurring.

Learning convolution operators on compact Abelian groups Two-phase kernel estimation for robust motion deblurring

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:59.749510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 66a86bb3-8625-496a-81e7-36c4f326fb61 · outbound

This paper cites Tony Cai.

Learning convolution operators on compact Abelian groups Tony Cai

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c25c9781-7e6b-4323-b8e3-b139deb6b548 · outbound

This paper cites Minimax rates for learning kernels in operators.

Learning convolution operators on compact Abelian groups Minimax rates for learning kernels in operators

Reference 48

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.