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Paper Citation Record · LEDGER

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing

As of 24 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2003.00768.

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

pith.paper-citation-record.v1
2003.00768 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T15:02:47.314043Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T14:26:35.531581Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-24T14:29:34.521967Z

Reference resolution

71 of 71 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c36eb186-e44f-4e38-84ca-36b4609a7a75 · outbound

This paper cites Compressed sensing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Compressed sensing

Reference 1

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Observation 18f639dc-04fc-4f20-956c-d97ee3427215 · outbound

This paper cites Compressive sampling.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Compressive sampling

Reference 2

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Observation dd96f78f-7e67-4004-967e-ff57d4bcca8b · outbound

This paper cites On projection matrix optimization for compressive sensing systems.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing On projection matrix optimization for compressive sensing systems

Reference 3

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Source-reported events for the cited work

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Observation 3dc562bb-0669-4a41-948e-8431c580db34 · outbound

This paper cites Elad, Sparse and redundant representations: from theory to appli- cations in signal and image processing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Elad, Sparse and redundant representations: from theory to appli- cations in signal and image processing

Reference 4

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Source-reported events for the cited work

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Observation 043e81b9-d80a-4d58-9629-c879c4acc724 · outbound

This paper cites Information- theoretic limits on sparse support recovery: Dense versus sparse mea- surements.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Information- theoretic limits on sparse support recovery: Dense versus sparse mea- surements

Reference 5

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Source-reported events for the cited work

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Observation a58399f5-21c2-4359-9bd3-6d6bbaff128b · outbound

This paper cites Robust support recovery using sparse compressive sensing matrices.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Robust support recovery using sparse compressive sensing matrices

Reference 6

Resolution
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Source-reported events for the cited work

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Observation ad0ce372-a8ce-4fbf-affd-0cfb88023c3f · outbound

This paper cites Sampling bounds for sparse support recov- ery in the presence of noise.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Sampling bounds for sparse support recov- ery in the presence of noise

Reference 7

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Source-reported events for the cited work

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Observation bb5ddd21-8e29-426b-9069-7500be02f431 · outbound

This paper cites Signal recovery from random mea- surements via orthogonal matching pursuit.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Signal recovery from random mea- surements via orthogonal matching pursuit

Reference 8

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Source-reported events for the cited work

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Observation 17d2e03a-65fb-4daa-91f0-7c21875a8591 · outbound

This paper cites Cosamp: Iterative signal recovery from in- complete and inaccurate samples.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Cosamp: Iterative signal recovery from in- complete and inaccurate samples

Reference 9

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Observation 3c1a59f8-0ea3-495b-a656-4c3c276693a9 · outbound

This paper cites Limits on support recovery with probabilistic models: An information-theoretic framework.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Limits on support recovery with probabilistic models: An information-theoretic framework

Reference 10

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Source-reported events for the cited work

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Observation d55eae04-f51c-4c86-aa68-81d04664948a · outbound

This paper cites Sparse representation for computer vision and pattern recognition.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Sparse representation for computer vision and pattern recognition

Reference 11

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Source-reported events for the cited work

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Observation 08b3cac4-d463-4452-83dc-743a7c9d6adb · outbound

This paper cites Robust face recognition via sparse representation.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Robust face recognition via sparse representation

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 1800bdc9-14d8-4a9b-8c70-25124c6a7a3c · outbound

This paper cites Efficient spectrum availability information recovery for wideband dsa networks: A weighted compressive sampling approach.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Efficient spectrum availability information recovery for wideband dsa networks: A weighted compressive sampling approach

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eb77b688-87d6-4e54-9c51-2a2116340448 · outbound

This paper cites Compressed wideband spec- trum sensing: Concept, challenges, and enablers.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Compressed wideband spec- trum sensing: Concept, challenges, and enablers

Reference 14

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Source-reported events for the cited work

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Observation c3282bf8-ab7a-4e8a-bffd-f082c0038822 · outbound

This paper cites A compressive sensing data acquisition and imaging method for stepped frequency GPRs.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing A compressive sensing data acquisition and imaging method for stepped frequency GPRs

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 25023fe8-e7ee-49d0-b410-4949f8a91cb5 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Fully convolutional networks for semantic segmentation

Reference 16

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Source-reported events for the cited work

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Observation fe412896-9605-4fe1-87e0-a48e80648693 · outbound

This paper cites Recon- net: Non-iterative reconstruction of images from compressively sensed measurements.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Recon- net: Non-iterative reconstruction of images from compressively sensed measurements

Reference 17

Resolution
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Source-reported events for the cited work

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Observation d7cecbb8-d714-4dac-aeb9-7aaa23ff309c · outbound

This paper cites Amp-inspired deep net- works for sparse linear inverse problems.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Amp-inspired deep net- works for sparse linear inverse problems

Reference 18

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Source-reported events for the cited work

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Observation 85d51d65-0277-403d-8bab-ae9ac65d4ca3 · outbound

This paper cites Message-passing algo- rithms for compressed sensing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Message-passing algo- rithms for compressed sensing

Reference 19

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Source-reported events for the cited work

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Observation a30dde65-26f1-4ffd-a843-8e84824504ec · outbound

This paper cites From few to many: Illumination cone models for face recognition under variable lighting and pose.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing From few to many: Illumination cone models for face recognition under variable lighting and pose

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 988b69f1-9f32-4b1a-9ace-43729c6f6f78 · outbound

This paper cites Deep learning face attributes in the wild.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Deep learning face attributes in the wild

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4fe34bcb-2a2d-4bd0-a8ec-fde587424457 · outbound

This paper cites Sparse representation or collaborative representation: Which helps face recognition?.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Sparse representation or collaborative representation: Which helps face recognition?

Reference 22

Resolution
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Source-reported events for the cited work

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Observation fd7aed23-174b-4925-a07e-5a5e8a4849af · outbound

This paper cites On the use of a priori information for sparse signal approximations.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing On the use of a priori information for sparse signal approximations

Reference 23

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verified fuzzy
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Source-reported events for the cited work

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Observation 81e923e0-76f6-4a12-b819-1572df48e0fc · outbound

This paper cites Recursive recovery of sparse signal sequences from compressive measurements: A review.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Recursive recovery of sparse signal sequences from compressive measurements: A review

Reference 24

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Source-reported events for the cited work

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Observation 916d671d-32dd-464e-b50c-ce0f41fec98e · outbound

This paper cites Optimally sparse representation in general (nonorthogonal) dictionaries via ell1 minimization.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Optimally sparse representation in general (nonorthogonal) dictionaries via ell1 minimization

Reference 25

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Source-reported events for the cited work

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Observation c47d6bba-b998-403b-8442-9a1829318351 · outbound

This paper cites The restricted isometry property and its implications for compressed sensing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing The restricted isometry property and its implications for compressed sensing

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 23445616-edda-4a87-a599-d903a786974d · outbound

This paper cites Atomic decomposition by basis pursuit.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Atomic decomposition by basis pursuit

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 38c4157b-20b4-4bf8-a755-f8fca7689c6c · outbound

This paper cites The dantzig selector: Statistical estimation when p is much larger than n.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing The dantzig selector: Statistical estimation when p is much larger than n

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 94dcd7c1-0082-4401-bfb5-1dac42481e9f · outbound

This paper cites Stable signal recovery from incomplete and inaccurate measurements.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Stable signal recovery from incomplete and inaccurate measurements

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 13715bf0-40aa-49fa-a47f-6d45268f4b36 · outbound

This paper cites an unresolved cited work.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation 0b101b9c-64ff-4f13-a75a-f48ba8c0b046 · outbound

This paper cites On the lasso and dantzig selector equiv- alence.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing On the lasso and dantzig selector equiv- alence

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0332cfd3-c1c3-47a2-a290-c3e80e23ae7e · outbound

This paper cites Regression shrinkage and selection via the lasso.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Regression shrinkage and selection via the lasso

Reference 33

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ff8d4724-97ef-4874-943b-571145025223 · outbound

This paper cites A probabilistic and ripless theory of compressed sensing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing A probabilistic and ripless theory of compressed sensing

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.886133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation daffbac8-21f9-40d3-b936-009071639908 · outbound

This paper cites Compressed anomaly detection with multiple mixed observations.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Compressed anomaly detection with multiple mixed observations

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.895650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:83891476a6ab8021ff91c90aded15a484f57599e1925d96d8812e201d4679f2a

Observation 2787c221-c5c2-4c89-8a5b-7e8451a6f8bd · outbound

This paper cites Malicious users discrimination in organized attacks using structured sparsity.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Malicious users discrimination in organized attacks using structured sparsity

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.928410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:918de44046e4b54cc0bbc65bcb53b38c4efdbe7973c2055d2cb462783125da18

Observation b3415552-edf3-4df2-b084-deb803c1d77d · outbound

This paper cites Multiuser detection via compressive sensing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Multiuser detection via compressive sensing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.881935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:91edea0b64d6fa793c141e7d010d41ede6b1fd9f81d3a14d84c65911c9e37d59

Observation a8f0f3ec-4214-470b-bf40-3b6ac9e684aa · outbound

This paper cites Multiuser detector for uplink grant free noma systems based on modified subspace pursuit algorithm.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Multiuser detector for uplink grant free noma systems based on modified subspace pursuit algorithm

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.870106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:8a9a28a27165f96407886e22ca99e878f0c5bc2331900373cbee0dd767585794

Observation a68fa847-2686-4a42-ba01-a3e3ee820033 · outbound

This paper cites Dynamic compressive sensing-based multi-user detection for uplink grant-free noma.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Dynamic compressive sensing-based multi-user detection for uplink grant-free noma

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.872968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:17caaf276a9b6e914fceb9c4607d67145c394c63db7387ba932656b089385fcf

Observation 08887559-d6c1-4b31-9836-d7fd402355a9 · outbound

This paper cites Through the wall target detection/monitoring from compressively sensed signals via structural sparsity.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Through the wall target detection/monitoring from compressively sensed signals via structural sparsity

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.875801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:440517a5fe98b8e7ced4db83753c06cf1a4bbc610ab229a89a2e8aacfaa797ad

Observation 61e8f666-f54a-4203-9764-021ee4a0e825 · outbound

This paper cites Nearly sharp sufficient conditions on exact sparsity pattern recovery.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Nearly sharp sufficient conditions on exact sparsity pattern recovery

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.867357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:088753dd675f275b92815d20f2fef5bc4ed0a5260be4e2f45058a5dd0fbf8feb

Observation 0c69d736-bd73-4fcc-84d6-c94cef9e7b83 · outbound

This paper cites Information-theoretic bounds on sparsity recovery in the high-dimensional and noisy setting.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Information-theoretic bounds on sparsity recovery in the high-dimensional and noisy setting

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.858246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:5dc39803015f45b49a0d19b770f4a449e417fec5a3c3f522e40c26824d83c902

Observation fa6cbf6a-41f8-4e5a-85e5-df1bb14cc7a8 · outbound

This paper cites Approximate sparsity pattern recovery: Information-theoretic lower bounds.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Approximate sparsity pattern recovery: Information-theoretic lower bounds

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.854505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:9a21bf4039f9f8731fdefe82ab59fc37ec0641d80caa065f5396772b4d841d4d

Observation 537f2f8c-5c5f-4049-8cab-6884d3f5d756 · outbound

This paper cites Near-ideal model selection by ell1 minimization.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Near-ideal model selection by ell1 minimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.849144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:b741d9dc9869c5cc117e1b9b4cf44cd7fc3ce51c42718f5ac046c3602a0ac001

Observation 78de09a2-4d56-463f-ba68-9f0670ecd8f7 · outbound

This paper cites Orthogonal matching pursuit for sparse signal recovery with noise.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Orthogonal matching pursuit for sparse signal recovery with noise

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.851914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:eea2366604665bd91d5b30f1fa1ab9b72a3c04ff48a7aafe79919d3f776a4c83

Observation 8a07911a-454b-4eeb-a5d0-6c468e68b356 · outbound

This paper cites The sampling rate-distortion tradeoff for sparsity pattern recovery in compressed sensing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing The sampling rate-distortion tradeoff for sparsity pattern recovery in compressed sensing

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.861498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:fde930329cbaff7d3ea123dc363a32317519488f0c0805b80a41fb1f25db96d7

Observation d4ecb177-a2c1-4130-a8b1-a276f0cf12ca · outbound

This paper cites Necessary and sufficient conditions for sparsity pattern recovery.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Necessary and sufficient conditions for sparsity pattern recovery

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.864437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:93ae977e4123cf9a736196d1bbb19e3b672835091a2cf584b17168db49012a11

Observation 1f4b8e3f-81c3-492c-bcd4-85c0370bb9a1 · outbound

This paper cites Learning sparse representations for human action recognition.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Learning sparse representations for human action recognition

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.878830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:30e7fc3434e1f0e378edefaa7f581df2daa81eae565a3329e5d3bb15971538be

Observation e0e03cf6-507a-40e7-a8ed-d8a52af0abb1 · outbound

This paper cites A survey on representation-based classification and detection in hyperspectral remote sensing imagery.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing A survey on representation-based classification and detection in hyperspectral remote sensing imagery

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.932031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:4192632edacd174f66836b6c83548e336b4309f5693a24bd88bdb573a9d16696

Observation 74bc93b2-e662-4f57-8ad8-f5ea3b6c2aca · outbound

This paper cites Modified-cs: Modifying compressive sensing for problems with partially known support.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Modified-cs: Modifying compressive sensing for problems with partially known support

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.835362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:174d815e3ba9133bad83cf53736ed485247ec2fd3b31936a721168f57b5a9787

Observation d6ad8e07-d30c-4463-b199-5fc419cb9607 · outbound

This paper cites Sparsity and incoherence in compressive sampling.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Sparsity and incoherence in compressive sampling

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.831769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:f1668b3689f709a88c5123ab49232ab2b25f44e42176129cab4b50418808a912

Observation c1e00850-9c26-41b1-b0e0-699160a3078f · outbound

This paper cites Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.838197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:a9ba854c0b62ec287b04e9cc8275124eddc96662cb1508e7aae07781f86e4a8d

Observation 5a37a278-e6ec-4452-ab59-3321cc280176 · outbound

This paper cites Learning fast approximations of sparse coding.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Learning fast approximations of sparse coding

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.843981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:9b560b7e2fd84242cd30fa38ebcbf2829e0c709869a5d0090cd1f1aeefb05575

Observation 3190d7d2-b356-4c9e-9603-25362462b0a0 · outbound

This paper cites Fast ell1-minimization algorithms for robust face recognition.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Fast ell1-minimization algorithms for robust face recognition

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.829042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:07426a9b48d81030116a98cc4d989c2e4e102f19bd572b57b80fb257d1d86fac

Observation 1fb538e3-11d1-4bed-88b3-20e36571ac23 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-24T15:04:36.461585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:7f04bbaec07c6e74f8f1eeaf50445b68c37e8dd52166d50cf8465a26375265ff

Observation bdda5bb3-6c2f-47f6-bc2a-2c7a35f9453c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Adam: A Method for Stochastic Optimization

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-24T15:04:36.456279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:e9e8d2e67b07c9b416f949380f66a5bdf9bffbc09feaa0797c901486f1a0441f

Observation 581ac19a-9282-4c9c-ac9f-833cbeb86f1b · outbound

This paper cites Dlib-ml: A machine learning toolkit.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Dlib-ml: A machine learning toolkit

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.823798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:c34efa8440edbeabee606ef33cdba64d908c0b45e5e6ff7a99b4770e8b89b8e3

Observation 72dfabef-e1ce-47ad-9dd4-efe787dce53e · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.826285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:d44a939625c946615c8e4c91a8936d5344f4d883afc08893e526eec40ef90513

Observation ec52b9cf-6107-42f6-a5d5-08e048989af0 · outbound

This paper cites Homotopy continuation for sparse signal representation.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Homotopy continuation for sparse signal representation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.846624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:23bf48048843eb47df86b5acb1265fabd66eb22b90a631277b7d10dbe4869e94

Observation 7acddf7a-a78a-49ac-9433-37e3a054bb7f · outbound

This paper cites Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.808660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:3ac4c644cc6d2e4c7c94a331fc276009ffc104081413454746178bb140841f50

Observation d92f31fb-6407-447d-ad03-4fde0a88b1ba · outbound

This paper cites An interior-point method for large- scale l1-regularized logistic regression.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing An interior-point method for large- scale l1-regularized logistic regression

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.811764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:382746af8c24bd668ffa0c1f56edcf161a3da92e744ab9e80750e1fb2c7215d8

Observation 11d794a5-c463-4d37-9363-2ea090b086f1 · outbound

This paper cites l1-magic: Recovery of sparse signals via convex programming.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing l1-magic: Recovery of sparse signals via convex programming

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.821003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:148a4e71c949677933199052a57db6f50a618007a4aefab500353024d8615e8f

Observation b4c7d1a9-85f4-441d-9edf-0940a2fdf2ea · outbound

This paper cites Solving inverse problems with piecewise linear estimators: From gaussian mixture models to structured sparsity.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Solving inverse problems with piecewise linear estimators: From gaussian mixture models to structured sparsity

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.802444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:2f119ce67c414be1bf49a4d595df861db4f55df1f8719ce8091f46aa36996afa

Observation 998187e1-1aed-4b50-a4f2-dca5bb63060a · outbound

This paper cites Model- based compressive sensing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Model- based compressive sensing

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.805674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:76877f1c3689922ced55e03086713cee665a39b00ca1fb9564cc2d255cc32ac5

Observation 8183a2a2-985e-47a1-9839-da53f38f91a2 · outbound

This paper cites Microlocal analysis of the geometric sep- aration problem.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Microlocal analysis of the geometric sep- aration problem

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.814986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:2ca222599b688d88da2fc39ddc19236ead60e0d1a6e3b1a40f65604057126f0b

Observation 0be1c363-f05b-4e22-8ef9-ce59949821a2 · outbound

This paper cites Structured sparsity: from mixed norms to structured shrinkage.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Structured sparsity: from mixed norms to structured shrinkage

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.787729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:81c191f68fdbcc28244ccbb225d0b090df80fd65202eb300faf1455a16d90170

Observation 87524311-b521-4d9e-aa2b-036071a4ec71 · outbound

This paper cites Matching pursuits with time-frequency dictionaries.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Matching pursuits with time-frequency dictionaries

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.784310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:61336cdd7182d1263f34016a88ea221ac001211d14e4bd1f1f88aa782b59afa8

Observation 8a634403-e1e0-4d8e-bd32-237dcd2fc062 · outbound

This paper cites Bayesian compressive sensing.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Bayesian compressive sensing

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.790969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:e75c818590129713647eba5418059c5f02c01e119175bfae3e6a39dfd5962c07

Observation 18c5918f-7768-499e-b8b8-bb9680dfd8df · outbound

This paper cites Nonlin- ear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Nonlin- ear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.796363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:f0ed93043b0852a8a45c27b5fb39f0aad1db8c652fc8d6291627c93459d371e4

Observation 1d0815c0-5e21-4049-b7cb-ca664947018d · outbound

This paper cites Com- pressively sensed image recognition.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Com- pressively sensed image recognition

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.799222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:2e5cdd8a578f82168092a7e0e1cfd4eb14fda3946273fe0e779c2ddd8388f4c7

Observation 3eaf4b0d-9b7f-4df4-9f6b-da1ebfd9b500 · outbound

This paper cites Direct inference on compressive measurements using convolutional neural networks.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Direct inference on compressive measurements using convolutional neural networks

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.818108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:79b3326b8402bda5a967bf7800bdbc9b44b1f023dff5cf35f269ac8e1caed600

Observation 1a6015a0-873b-44b9-bc1b-f57d37cfa245 · outbound

This paper cites Learning to invert: Signal recovery via deep convolutional networks.

Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Learning to invert: Signal recovery via deep convolutional networks

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T15:04:37.841234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T15:02:47.314043Z digest=sha256:c6c46b9f5c90beafdc958d833f7244e752b4c55793547de41d595f7c99a61d8f

Pith citing papers

Observation 7b83df77-dca1-4bb0-9e41-d0129c16c37c · inbound

Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images cites this paper.

Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-24T14:24:34.578082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T14:22:31.140922Z digest=sha256:beafe480f382ebdd9f11932844d9138cb5688fa3d2b96d1bd519d9f52777d5ff

Observation a7621f3f-5140-4e9e-a6ad-de863e0be708 · inbound

Advance Warning Methodologies for COVID-19 using Chest X-Ray Images cites this paper.

Advance Warning Methodologies for COVID-19 using Chest X-Ray Images Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T14:29:34.524363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T14:26:35.531581Z digest=sha256:726bb79761fbb9da2366270aa1a46d513697b113c64da174348ab204d4177d45