Paper Citation Record · LEDGER

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.06764.

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

pith.paper-citation-record.v1
2507.06764 v5

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Pith citing papers itemized under the disclosed page cap.

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Outbound references

Observation 7d1eb159-b961-4bb4-a3ee-5c4eadf35428 · outbound

This paper cites Maximal sparsity with deep networks?.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Maximal sparsity with deep networks?

Reference 1

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Observation 59754f1e-6b2a-4d89-bce3-1d8364775cd4 · outbound

This paper cites Ista-net: Interpretable optimization- inspired deep network for image compressive sensing,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Ista-net: Interpretable optimization- inspired deep network for image compressive sensing,

Reference 2

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Observation a6c78554-30f7-4d0e-8f74-c8823958820a · outbound

This paper cites Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction,

Reference 3

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Observation 59f83424-e12c-4803-8969-3722c6c5db59 · outbound

This paper cites Deep image prior,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Deep image prior,

Reference 4

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Observation e5d3818e-c832-4e27-b07e-99e16427a5f7 · outbound

This paper cites Dual-domain self-supervised learning and model adaption for deep compressive imaging,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Dual-domain self-supervised learning and model adaption for deep compressive imaging,

Reference 5

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Observation fb051d4d-216c-4ca6-a1cd-4e65f6b1f1f4 · outbound

This paper cites Equivariant imaging: Learning beyond the range space,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Equivariant imaging: Learning beyond the range space,

Reference 6

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Observation 097fbc89-f0b6-4810-b85e-3032c0c0a560 · outbound

This paper cites Robust equivariant imaging: a fully unsupervised frame- work for learning to image from noisy and partial measurements,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Robust equivariant imaging: a fully unsupervised frame- work for learning to image from noisy and partial measurements,

Reference 7

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Observation b7defa34-2e43-4a45-898e-9aefd78f4e93 · outbound

This paper cites Test-time fast adaptation for dynamic scene deblurring via meta-auxiliary learning,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Test-time fast adaptation for dynamic scene deblurring via meta-auxiliary learning,

Reference 8

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Observation 3a38ab5d-0d64-47b4-84b5-f4ed6047c974 · outbound

This paper cites Fast adaptation to super-resolution networks via meta-learning,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Fast adaptation to super-resolution networks via meta-learning,

Reference 9

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Observation 35e843f0-6b39-41d1-ad99-f7483af58e2c · outbound

This paper cites Test-time adaptation via orthogonal meta-learning for medical imaging,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Test-time adaptation via orthogonal meta-learning for medical imaging,

Reference 10

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Observation 64bbc96d-db91-4ef0-a973-03acaafcd7b3 · outbound

This paper cites Ground-truth free meta- learning for deep compressive sampling,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Ground-truth free meta- learning for deep compressive sampling,

Reference 11

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Observation f3034284-d8bd-453d-abee-23a69db0cdfc · outbound

This paper cites Test-time training can close the natural distribution shift performance gap in deep learning based compressed sensing,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Test-time training can close the natural distribution shift performance gap in deep learning based compressed sensing,

Reference 12

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Observation 6d769534-de6e-4ed5-bc2a-d125a64ca620 · outbound

This paper cites Test-time model adaptation for image reconstruction using self-supervised adaptive layers,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Test-time model adaptation for image reconstruction using self-supervised adaptive layers,

Reference 13

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Observation 796990dd-65e3-43bb-8f68-f69024a0b0ac · outbound

This paper cites Fast image recovery using variable splitting and constrained optimiza- tion,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Fast image recovery using variable splitting and constrained optimiza- tion,

Reference 14

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Observation deefae9e-9d12-4454-a13f-3adf8609e744 · outbound

This paper cites First-order methods of smooth convex optimization with inexact oracle,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting First-order methods of smooth convex optimization with inexact oracle,

Reference 15

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Observation f0b5cad2-01a1-41aa-bdcf-5f1356b5123e · outbound

This paper cites Unsupervised learning from incomplete measurements for inverse problems,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Unsupervised learning from incomplete measurements for inverse problems,

Reference 16

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Observation 08df344b-8eed-4425-84b4-4fbad207b72a · outbound

This paper cites Sketched equivariant imaging regular- ization and deep internal learning for inverse problems,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Sketched equivariant imaging regular- ization and deep internal learning for inverse problems,

Reference 17

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This paper cites Deep unfolding network for image super-resolution,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Deep unfolding network for image super-resolution,

Reference 18

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Observation 64adde1f-f9da-4c24-bd8b-e93082b7ec8f · outbound

This paper cites Plug-and-play admm for image restoration: Fixed-point convergence and applications,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Plug-and-play admm for image restoration: Fixed-point convergence and applications,

Reference 19

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This paper cites Admm-csnet: A deep learning approach for image compressive sensing,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Admm-csnet: A deep learning approach for image compressive sensing,

Reference 20

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Observation 5ffb80da-4de4-44de-a54c-f09514d98249 · outbound

This paper cites Deepred: Deep image prior powered by red,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Deepred: Deep image prior powered by red,

Reference 21

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Observation b211125e-9f26-4149-a785-0e2b10a799fe · outbound

This paper cites Self- supervised deep unrolled reconstruction using regularization by denoising,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Self- supervised deep unrolled reconstruction using regularization by denoising,

Reference 22

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Observation 2a243864-a259-4ee8-b86e-eae02f157fec · outbound

This paper cites Perspective-Equivariance for Unsupervised Imaging with Camera Geometry.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Perspective-Equivariance for Unsupervised Imaging with Camera Geometry

Reference 23

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This paper cites Equivari- ant plug-and-play image reconstruction,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Equivari- ant plug-and-play image reconstruction,

Reference 24

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This paper cites Algorithm unrolling: Inter- pretable, efficient deep learning for signal and image processing,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Algorithm unrolling: Inter- pretable, efficient deep learning for signal and image processing,

Reference 25

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Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse prob- lems,

Reference 26

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Observation 478ce839-8c46-4696-9bbc-b5fa9560b418 · outbound

This paper cites Linearized augmented lagrangian and alternating direction methods for nuclear norm minimization,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Linearized augmented lagrangian and alternating direction methods for nuclear norm minimization,

Reference 27

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Observation d54c24bf-9a9b-4015-b047-e6d140d415d7 · outbound

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Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Inexact half-quadratic opti- mization for linear inverse problems,

Reference 28

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This paper cites Inexact half-quadratic optimization for image reconstruction,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Inexact half-quadratic optimization for image reconstruction,

Reference 29

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Observation b18a603e-5f0e-4933-96f0-0f027e1093c5 · outbound

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Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Proximal alternating lin- earized minimization for nonconvex and nonsmooth problems,

Reference 30

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Observation e769a686-2a2e-4a65-aef7-81ac513d780c · outbound

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Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Inexact block coordinate descent algorithms for nonsmooth nonconvex optimization,

Reference 31

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Observation b1a0e396-aaec-4dc2-a5f4-835b164d318a · outbound

This paper cites A method of solving a convex programming problem with convergence rate o (1/k2),.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting A method of solving a convex programming problem with convergence rate o (1/k2),

Reference 32

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This paper cites Gradient methods for minimizing composite objective func- tion,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Gradient methods for minimizing composite objective func- tion,

Reference 33

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This paper cites A guide to stochastic optimisation for large-scale inverse problems,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting A guide to stochastic optimisation for large-scale inverse problems,

Reference 34

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Observation f1ab004e-ae33-4518-9d31-17660af6babf · outbound

This paper cites Provably convergent plug-and-play quasi-newton methods,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Provably convergent plug-and-play quasi-newton methods,

Reference 35

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This paper cites Plug-and- play priors for model based reconstruction,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Plug-and- play priors for model based reconstruction,

Reference 36

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Observation 095ea164-26b4-4475-9a4a-bb046d6f0838 · outbound

This paper cites Image de- noising by sparse 3-d transform-domain collaborative filtering.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Image de- noising by sparse 3-d transform-domain collaborative filtering

Reference 37

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Observation 1555b8c4-65c2-4692-8397-219580a2052f · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,

Reference 38

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Observation 1131ff63-f015-4f74-a8ad-c8bd50cba672 · outbound

This paper cites Truly shift-equivariant convolu- tional neural networks with adaptive polyphase upsampling,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Truly shift-equivariant convolu- tional neural networks with adaptive polyphase upsampling,

Reference 39

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Observation b8c4f0a7-2782-4592-ba76-17b635180e94 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting U-net: Convolutional networks for biomedical image segmentation,

Reference 40

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This paper cites A plug-and-play deep image prior,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting A plug-and-play deep image prior,

Reference 41

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Observation 002f9427-11b7-4889-84e2-73ddec4d1fec · outbound

This paper cites The cancer imag- ing archive (tcia): maintaining and operating a public information repository,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting The cancer imag- ing archive (tcia): maintaining and operating a public information repository,

Reference 42

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Observation 91795492-4652-434c-82e8-9bf1461050f9 · outbound

This paper cites Single image super- resolution from transformed self-exemplars,.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting Single image super- resolution from transformed self-exemplars,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:58.040691Z

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Observation 13f94960-4ea6-4b20-baac-becfb9bca1fa · outbound

This paper cites UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

Reference 44

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Pith citing papers

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