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Paper Citation Record · LEDGER

Deep kernel learning for integral measurements

As of 15 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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57 of 57 outbound references displayed

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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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Observation 5741cc2c-90c9-4ed3-8ea8-b81a5b38b089 · outbound

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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Observation bb2b1595-6b69-4629-9afb-2dc837576175 · outbound

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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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.273750Z digest=sha256:ce8fd629a5c2b0d96c5a8151bb7204396b97547505cda8de97f794b2f7c4c951

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.277277Z digest=sha256:3991c6776c8bfc7736a9e1042bb0f7817bad2014aa8ad471f7d5900c3f043ba2

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.292353Z digest=sha256:6b2e020d345faed01cfe8d6f234eae1cda2e6f3d1aebd4960ac575c5e7bcb237

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.296242Z digest=sha256:92374e02a67ac09c8c5d752a167bec07dd58e0cfd75625f6ec8c78b17dd3cea2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.300223Z digest=sha256:0e7d88b7d8bde283063f02ef766ed783860ec28d2c5ed7d4b163b2d5ebe2982c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.304439Z digest=sha256:b7a2831118ff61c75b171c3a26d80e5a74c557fa1fa21d05837459404687c944

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.308367Z digest=sha256:227e6cfac4738e4a5993efe8028219b2c17a655d7c1bfb19f100b41fd5657c06

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=sha256:0b82f88ad7760a99e1750e5ba50e0fcf4f615421f0f75e7501f57b1ddbb4f3ce

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.317021Z digest=sha256:04e9d00043950b0518f37af3db92da2f23b22f338e17840a8b854e428b016c8e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.320979Z digest=sha256:8c2bb690857e9109a4bd680ee6e8489a726f5f71f69ab0140e0604d6e27e45db

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.324895Z digest=sha256:a727e10b52fe75cdef14013eea7d6b09b774d44807512ba61dd05f64d2d37fd7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.328841Z digest=sha256:694fa336c8e219b3753df02c3558e580d5d3822aa66294bc7fdc56608f6461ef

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.332617Z digest=sha256:053b3a6f3788a1e4af1a41628cd99f65be7afa82b87adc26160328e86d58c002

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.336685Z digest=sha256:ad91a34f9e817d1853350472587fb953d1f6d4e08fcc7397df1fbdad4e9fc6f2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.340327Z digest=sha256:cb3cfa251a2faa18fd7e9f17041076ab1f9b3ca7859724398494eca6a6dfec60

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.344087Z digest=sha256:8c41942ff45935e6159778bd07d59fad251581b7bc82e1afc7908f6293f27715

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.348118Z digest=sha256:f0c4ed284ba4dc31ff5111a9f00272b806e691d8284df88e0b08742a694428d3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:14.352063Z digest=sha256:4b4785d39f9a44a5a1f4142ce5b5990c262ec705187e00815c348de7ea05d882

Pith citing papers

No inbound Pith citation observations are available.