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Paper Citation Record · LEDGER

Deep kernel learning for integral measurements

As of 14 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:1909.01844.

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pith.paper-citation-record.v1
1909.01844 v1

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measured 57 of 57 reference resolution

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Outbound references

Observation 8bc792fb-8808-4123-a26b-c05ab9e38740 · outbound

This paper cites Accessed: 2019-04-20.

Deep kernel learning for integral measurements Accessed: 2019-04-20

Reference 1

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This paper cites Solving ill-posed inverse problems using iterative deep neural networks.

Deep kernel learning for integral measurements Solving ill-posed inverse problems using iterative deep neural networks

Reference 2

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This paper cites Learned primal-dual reconstruction.IEEE Transactions on Medical Imaging, 37(6):1322–1332, 2018.

Deep kernel learning for integral measurements Learned primal-dual reconstruction.IEEE Transactions on Medical Imaging, 37(6):1322–1332, 2018

Reference 3

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Observation 0e4f946d-5b95-400f-82bf-c0b48132556d · outbound

This paper cites Wilson, Yunus Saatchi, Zhiting Hu, and Eric P.

Deep kernel learning for integral measurements Wilson, Yunus Saatchi, Zhiting Hu, and Eric P

Reference 4

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Observation 8190af24-f353-4595-b0ac-620adbd2a856 · outbound

This paper cites Bouman and Ken Sauer.

Deep kernel learning for integral measurements Bouman and Ken Sauer

Reference 5

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This paper cites Tomographic X-ray data of carved cheese.

Deep kernel learning for integral measurements Tomographic X-ray data of carved cheese

Reference 6

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This paper cites Rasmussen, and Marc P.

Deep kernel learning for integral measurements Rasmussen, and Marc P

Reference 7

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This paper cites Chapra.Applied Numerical Methods with MATLAB for engineers and scientists, 4th edition.

Deep kernel learning for integral measurements Chapra.Applied Numerical Methods with MATLAB for engineers and scientists, 4th edition

Reference 8

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This paper cites an unresolved cited work.

Deep kernel learning for integral measurements Unresolved cited work

Reference 9

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This paper cites Lawrence.

Deep kernel learning for integral measurements Lawrence

Reference 10

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This paper cites Damianou.Deep Gaussian processes and variational propagation of uncertainty.

Deep kernel learning for integral measurements Damianou.Deep Gaussian processes and variational propagation of uncertainty

Reference 11

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This paper cites Damianou and Neil D.

Deep kernel learning for integral measurements Damianou and Neil D

Reference 12

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Deep kernel learning for integral measurements Unresolved cited work

Reference 13

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This paper cites Lecture 11: Bayesian quadrature.

Deep kernel learning for integral measurements Lecture 11: Bayesian quadrature

Reference 14

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This paper cites Rasmussen, and Laurence Aitchison.

Deep kernel learning for integral measurements Rasmussen, and Laurence Aitchison

Reference 15

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This paper cites Ghassemi and Marc P.

Deep kernel learning for integral measurements Ghassemi and Marc P

Reference 16

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This paper cites Golub and Charles F.

Deep kernel learning for integral measurements Golub and Charles F

Reference 17

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This paper cites Shape recovery for sparse-data tomography.Mathematical Methods in the Applied Sciences, 40(18):6649–6669, 2017.

Deep kernel learning for integral measurements Shape recovery for sparse-data tomography.Mathematical Methods in the Applied Sciences, 40(18):6649–6669, 2017

Reference 18

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This paper cites A deep learning architecture for limited-angle computed tomography reconstruction.

Deep kernel learning for integral measurements A deep learning architecture for limited-angle computed tomography reconstruction

Reference 19

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This paper cites Hendriks, Alexander W.

Deep kernel learning for integral measurements Hendriks, Alexander W

Reference 20

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This paper cites Quasi-Newton methods: A new direction.The Journal of Machine Learning Research, 14(1):843–865, 2013.

Deep kernel learning for integral measurements Quasi-Newton methods: A new direction.The Journal of Machine Learning Research, 14(1):843–865, 2013

Reference 21

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Deep kernel learning for integral measurements Unresolved cited work

Reference 22

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Deep kernel learning for integral measurements Unresolved cited work

Reference 23

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This paper cites Schön, Christopher Wensrich, and Adrian Wills.

Deep kernel learning for integral measurements Schön, Christopher Wensrich, and Adrian Wills

Reference 24

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Deep kernel learning for integral measurements Unresolved cited work

Reference 25

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This paper cites Springer Science & Business Media, 2006.

Deep kernel learning for integral measurements Springer Science & Business Media, 2006

Reference 26

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This paper cites Deep neural networks as Gaussian processes.

Deep kernel learning for integral measurements Deep neural networks as Gaussian processes

Reference 27

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Deep kernel learning for integral measurements Unresolved cited work

Reference 28

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This paper cites Neal.Bayesian Learning for Neural Networks, volume 118 ofLecture Notes in Statistics.

Deep kernel learning for integral measurements Neal.Bayesian Learning for Neural Networks, volume 118 ofLecture Notes in Statistics

Reference 29

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This paper cites Unnikrishna Pillai.Probability, random variables, and stochastic processes.

Deep kernel learning for integral measurements Unnikrishna Pillai.Probability, random variables, and stochastic processes

Reference 30

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This paper cites Automatic differentiation in PyTorch.

Deep kernel learning for integral measurements Automatic differentiation in PyTorch

Reference 31

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This paper cites Pelt, Kees Joost Batenburg, and James A.

Deep kernel learning for integral measurements Pelt, Kees Joost Batenburg, and James A

Reference 32

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Observation e2adc9d8-ece2-4c41-8510-eb60b6bedccd · outbound

This paper cites Probabilistic approach to limited-data computed tomography reconstruction.

Deep kernel learning for integral measurements Probabilistic approach to limited-data computed tomography reconstruction

Reference 33

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Observation 5c2466c2-7946-43cc-a5b2-3edcc9b2d8eb · outbound

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Deep kernel learning for integral measurements Unresolved cited work

Reference 34

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Observation 86bfb8c9-4f0d-45db-a785-7303c4277e66 · outbound

This paper cites Doubly stochastic variational inference for deep Gaussian processes.

Deep kernel learning for integral measurements Doubly stochastic variational inference for deep Gaussian processes

Reference 35

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Observation d9c1e138-c062-4611-881d-ed0c1b799f2b · outbound

This paper cites Sampson and Peter Guttorp.

Deep kernel learning for integral measurements Sampson and Peter Guttorp

Reference 36

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Observation 347b5858-6061-438d-b23d-af90786de847 · outbound

This paper cites Santisteban, Lyndon Edwards, Mike E.

Deep kernel learning for integral measurements Santisteban, Lyndon Edwards, Mike E

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.273750Z digest=sha256:53bf69f9b9324576791a908ab63d7fbf6063dc5586bae149a403df1820a5e2f8

Observation 755f000a-16fe-40a0-8e0e-9ae985f613e8 · outbound

This paper cites Santisteban, Lyndon Edwards, Mike E.

Deep kernel learning for integral measurements Santisteban, Lyndon Edwards, Mike E

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.654446Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.277277Z digest=sha256:947a6bf2f9acf1c86635f974275a24e4d3baf1d10a7555e512ddc898e2c233de

Observation c3d49d71-abd8-4777-8786-5da43bf13789 · outbound

This paper cites Bayesian estimation of 3-D objects from few radiographs.IEEE Transactions on Nuclear Science, 41(5):1780–1790, 1994.

Deep kernel learning for integral measurements Bayesian estimation of 3-D objects from few radiographs.IEEE Transactions on Nuclear Science, 41(5):1780–1790, 1994

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.643544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f27cf36a-309e-4056-8a5e-aeedef154ee0 · outbound

This paper cites Adams, and Nando De Freitas.

Deep kernel learning for integral measurements Adams, and Nando De Freitas

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.630890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fccd45c5-cf76-49fb-9fa0-19a1b233f228 · outbound

This paper cites Shepp and Joseph B.

Deep kernel learning for integral measurements Shepp and Joseph B

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.287531Z digest=sha256:9df7a689fdd58b471974832f862a6e37b3554db1df2ff0ea87bea16a6aed438a

Observation 72002e2f-8b0c-4147-8f12-cc16e1050cdd · outbound

This paper cites Shepp and Benjamin F.

Deep kernel learning for integral measurements Shepp and Benjamin F

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.292353Z digest=sha256:5f5ea60edd94d81915f56f0ff53974515cab87522ff5a76c93e8263844904d98

Observation fe31f1d6-3f89-4aa9-96ad-61f959332dc9 · outbound

This paper cites PyTorch-LBFGS: A PyTorch implementation of L-BFGS.

Deep kernel learning for integral measurements PyTorch-LBFGS: A PyTorch implementation of L-BFGS

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.594724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.296242Z digest=sha256:ddb017bb1ae9e8eb5b45e5f2ae291673fe9cd75f4460774cff733317c382af28

Observation a0a12a49-4504-4dd7-ad85-ac383655d63a · outbound

This paper cites Variable noise and dimensionality reduction for sparse Gaussian processes.

Deep kernel learning for integral measurements Variable noise and dimensionality reduction for sparse Gaussian processes

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.583448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.300223Z digest=sha256:ea87379a608299368a56cdf1793f824d9f7a82ffc535d52f50033e7b0deb09b7

Observation 9d6cb75f-0e96-430d-9a9c-34f6893f45ca · outbound

This paper cites Rasmussen.

Deep kernel learning for integral measurements Rasmussen

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.571495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.304439Z digest=sha256:9498683104c8c4af9549b859ab0501f6c78cb3c8130bb1d4e788fc0769e5629e

Observation b0991f1c-689c-49fb-977b-b8abbc3d00d4 · outbound

This paper cites Know your boundaries: Constraining Gaussian processes by variational harmonic features.

Deep kernel learning for integral measurements Know your boundaries: Constraining Gaussian processes by variational harmonic features

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.559693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.308367Z digest=sha256:2ad062a34070bf622824fc96e711eeb4848c7c84fe008d9cdde167816956897d

Observation af84c248-1ec3-48ff-83e0-b9bf8c79176b · outbound

This paper cites Hilbert Space Methods for Reduced-Rank Gaussian Process Regression.

Deep kernel learning for integral measurements Hilbert Space Methods for Reduced-Rank Gaussian Process Regression

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T05:10:14.312443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:10:14.312443Z digest=sha256:6cf8f61892ef4b3d5a1895528c539e1635cd15036951b00c7a23bd76e2a5938b

Observation 8748b478-76eb-4b2b-b84b-c2dcbbcdb257 · outbound

This paper cites Stein.Interpolation of Spatial Data.

Deep kernel learning for integral measurements Stein.Interpolation of Spatial Data

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.547499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.317021Z digest=sha256:46b10c7474d91d1f36a3584619e286c62d7bdb83da9cc65ce4f3ec96c968c4df

Observation 0bb9c581-c3e6-40db-b36d-4c86abbcc519 · outbound

This paper cites Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D.

Deep kernel learning for integral measurements Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.535457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.320979Z digest=sha256:7b591974e46ebc8fa031abb7bfaabaf8986b33c1066a0b36df9c5eae8ed03c50

Observation 7935661f-ae0a-44dc-8b15-a4a7afeff13e · outbound

This paper cites PhD thesis, Humboldt-Universität zu Berlin, Mathematisch- Naturwissenschaftliche Fakultät II, 2012.

Deep kernel learning for integral measurements PhD thesis, Humboldt-Universität zu Berlin, Mathematisch- Naturwissenschaftliche Fakultät II, 2012

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.523073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.324895Z digest=sha256:578292b573cae44ae2e14f1490971fbc9f21990c734a71dd17669e15eedb203a

Observation e91a1008-7314-4c74-9376-9550589e18d9 · outbound

This paper cites Wensrich, Johannes N.

Deep kernel learning for integral measurements Wensrich, Johannes N

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.510223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.328841Z digest=sha256:c3299f47ada7c577da7eee8b6bf83cf7730c511a7e4973f210946ad67a0a9835

Observation 0846f268-a67f-4f4c-8e90-c743b4a78d0c · outbound

This paper cites Wills and Thomas B.

Deep kernel learning for integral measurements Wills and Thomas B

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.496973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.332617Z digest=sha256:5fbe071fed286e505390fc186d508872e09e94bbc2e1670573ab35c9a4e4b6d4

Observation a052d462-641b-4cca-bbe0-3e759fed51f6 · outbound

This paper cites Wilson and Ryan Adams.

Deep kernel learning for integral measurements Wilson and Ryan Adams

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.481612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.336685Z digest=sha256:5a4d611f8abff23a73bb3a7f0ac8455dc3a234c66fe90239d743fcd063d07bc6

Observation a35f199f-184c-4eb5-badb-b4fd54365b9a · outbound

This paper cites Wilson, Zhiting Hu, Ruslan Salakhutdinov, and Eric P.

Deep kernel learning for integral measurements Wilson, Zhiting Hu, Ruslan Salakhutdinov, and Eric P

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.468004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.340327Z digest=sha256:75a29334026ddc39de2cb8d16238414dceccb6d7fa1305aa7c828855be396620

Observation c884e73b-cb6a-4a91-8aa7-cdaae0495e12 · outbound

This paper cites Wilson, Zhiting Hu, Ruslan R.

Deep kernel learning for integral measurements Wilson, Zhiting Hu, Ruslan R

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.455183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.344087Z digest=sha256:24bc98b9a9b1fb54403d64b0d986890170d05416910178870419cef7c2aa5216

Observation 8aa06f42-81f5-41d0-9bff-92de0bc36fe2 · outbound

This paper cites Wilson, and Peter Frazier.

Deep kernel learning for integral measurements Wilson, and Peter Frazier

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.441844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.348118Z digest=sha256:b6d818001aec3338d27ff03ac8eb7855dab0c5bda8da7f53f5297a62d0a93ca3

Observation 889921a7-5efa-4f55-82c5-30023b9b133a · outbound

This paper cites Ghesu, Vincent Christlein, and Andreas Maier.

Deep kernel learning for integral measurements Ghesu, Vincent Christlein, and Andreas Maier

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:14.430362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:10:14.352063Z digest=sha256:a0de652d2be3edd6ece8dc19cd9551e98170b377af9c6bfd58974bec28a0226f

Pith citing papers

No inbound Pith citation observations are available.