MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems | Paper Citation Record

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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This paper cites Metropolis, A.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Metropolis, A

Reference 2

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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This paper cites Kaipio, E.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Kaipio, E

Reference 6

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This paper cites Tarantola, Inverse problem theory and methods for model parameter estimation, SIAM, 2005.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Tarantola, Inverse problem theory and methods for model parameter estimation, SIAM, 2005

Reference 7

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 8

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 9

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This paper cites Calvetti, E.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Calvetti, E

Reference 10

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This paper cites Cotter, G.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Cotter, G

Reference 11

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This paper cites Gelman, W.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Gelman, W

Reference 12

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This paper cites Goodman, J.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Goodman, J

Reference 13

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 14

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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This paper cites Lieberman, K.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Lieberman, K

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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This paper cites Bui-Thanh, O.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Bui-Thanh, O

Reference 18

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This paper cites Schillings, B.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Schillings, B

Reference 19

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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This paper cites Yan, Y.-X.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Yan, Y.-X

Reference 21

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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This paper cites Raissi, P.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Raissi, P

Reference 25

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This paper cites Schwab, J.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Schwab, J

Reference 26

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 28

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This paper cites A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models

Reference 29

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 30

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This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 31

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 33

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This paper cites Genzel, J.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Genzel, J

Reference 34

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This paper cites Raoni´ c, R.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Raoni´ c, R

Reference 35

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This paper cites Neural Inverse Operators for Solving PDE Inverse Problems.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Neural Inverse Operators for Solving PDE Inverse Problems

Reference 36

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This paper cites Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks

Reference 37

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This paper cites A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results

Reference 38

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This paper cites Nickl, Bayesian Non-linear Statistical Inverse Problems, Zurich Lectures in Advanced Mathematics, EMS, 2023.doi:10.4171/ZLAM/30.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Nickl, Bayesian Non-linear Statistical Inverse Problems, Zurich Lectures in Advanced Mathematics, EMS, 2023.doi:10.4171/ZLAM/30

Reference 39

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This paper cites Dashti, A.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Dashti, A

Reference 40

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This paper cites Somersalo, M.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Somersalo, M

Reference 41

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 42

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This paper cites Cheney, D.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Cheney, D

Reference 43

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This paper cites Borcea, Electrical impedance tomography, Inverse problems 18 (6) (2002) R99.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Borcea, Electrical impedance tomography, Inverse problems 18 (6) (2002) R99

Reference 44

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 45

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Observation a3d47988-a786-4d35-9bf3-607b8d6216ab · outbound

This paper cites Abhishek, T.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Abhishek, T

Reference 46

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This paper cites Natterer, F.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Natterer, F

Reference 47

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This paper cites Harrach, On uniqueness in diffuse optical tomography, Inverse problems 25 (5) (2009) 055010.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Harrach, On uniqueness in diffuse optical tomography, Inverse problems 25 (5) (2009) 055010

Reference 48

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 49

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This paper cites Abraham, R.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Abraham, R

Reference 50

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This paper cites Suhonen, A.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Suhonen, A

Reference 51

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This paper cites Tarvainen, B.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Tarvainen, B

Reference 52

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This paper cites Quarteroni, A.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Quarteroni, A

Reference 53

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

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MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 57

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Observation c175926d-b599-4858-95b9-159846fe07a4 · outbound

This paper cites Bhattacharya, B.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Bhattacharya, B

Reference 58

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Observation c1c9b25b-e328-4974-8fc8-f6fefe7513a8 · outbound

This paper cites Kovachki, Z.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Kovachki, Z

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T06:07:25.488911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f61a04e-3735-4aba-a05b-17a6e3858550 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 60

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Observation d52070bc-914e-456d-bf87-7513cba41b58 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 61

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Observation 221d6ee7-cd4a-453f-a5f3-02a6e09d5c9f · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 62

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Observation 8bfe1cb9-49f3-4758-b868-32ba7c9c4177 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T06:07:25.503248Z

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Observation 52f16d57-19be-42c4-ba7e-64336379b045 · outbound

This paper cites Variable-Input Deep Operator Networks.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Variable-Input Deep Operator Networks

Reference 64

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Observation e2d07641-d9a3-4c7a-a7ac-741f79930edc · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 65

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Observation 94a5d470-cb54-42b5-890a-db973ed42623 · outbound

This paper cites Kissas, J.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Kissas, J

Reference 66

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Observation 14f41f8a-23fa-4015-b064-db595e02770d · outbound

This paper cites Seidman, G.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Seidman, G

Reference 67

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Observation d77d08a1-4581-4c3e-aac4-afaaa3827b18 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 68

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Observation e258603c-019d-42ad-bc8f-bab48d4aae84 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 69

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Observation cafe2cfe-eab3-4131-9a86-be7e4aab7346 · outbound

This paper cites Furuya, M.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Furuya, M

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:26.021857Z

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Observation 8490848f-ed03-4035-8b87-b1791e991a82 · outbound

This paper cites Cao, Choose a transformer: Fourier or galerkin, Advances in neural information processing systems 34 (2021) 24924–24940.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Cao, Choose a transformer: Fourier or galerkin, Advances in neural information processing systems 34 (2021) 24924–24940

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T06:07:25.531670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f675299-570d-4bd6-8274-eeb969d1ca78 · outbound

This paper cites Uslu Tuna, M.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Uslu Tuna, M

Reference 72

Resolution: verified exact; doi, observed 2026-08-11T06:07:25.608789Z

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

Observation 87cd8185-5ed7-4e7d-98f4-7cffffda16b2 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 73

Resolution: verified exact; raw_fallback, observed 2026-08-11T06:07:25.807256Z

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Observation 37c5b4dc-015b-4896-a1ba-ae6961453850 · outbound

This paper cites Lanthaler, S.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Lanthaler, S

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:26.004878Z

Source-reported events for the cited work

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

Observation 5d7d73da-8d3b-4518-9014-b7911af34d22 · outbound

This paper cites Kovachki, S.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Kovachki, S

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:25.995067Z

Source-reported events for the cited work

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

Observation f4e14634-0d2f-4ef4-9d3c-9cf89192e6d2 · outbound

This paper cites an unresolved cited work.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-11T06:07:25.986371Z

Source-reported events for the cited work

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

Observation c3ed1bab-69b3-4d57-8da5-a1d8308e0916 · outbound

This paper cites Yarotsky, Optimal approximation of continuous functions by very deep relu networks, in: S.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Yarotsky, Optimal approximation of continuous functions by very deep relu networks, in: S

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:25.976470Z

Source-reported events for the cited work

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

Observation 68f72a1b-8e0c-445d-b51d-23c4bed0542e · outbound

This paper cites Zhou, Universality of deep convolutional neural networks, Applied and Compu- tational Harmonic Analysis 48 (2) (2020) 787–794.doi:https://doi.org/10.1016/j.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Zhou, Universality of deep convolutional neural networks, Applied and Compu- tational Harmonic Analysis 48 (2) (2020) 787–794.doi:https://doi.org/10.1016/j

Reference 78

Resolution: malformed identifier; no resolver link, observed 2026-08-11T06:07:25.555156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffdd2963-90d8-46f6-9e90-2490f2ce294f · outbound

This paper cites Marzouk, D.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Marzouk, D

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:25.963911Z

Source-reported events for the cited work

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

Observation 69501797-502d-46d0-9575-124629df1c30 · outbound

This paper cites Gelman, W.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Gelman, W

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:25.952133Z

Source-reported events for the cited work

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

Observation f3de4745-c71b-4f4a-b5b4-34a867c70074 · outbound

This paper cites Ahmad, T.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Ahmad, T

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:25.940467Z

Source-reported events for the cited work

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

Observation 6d2a6709-e99a-4f49-ac57-1ec1bd0e4576 · outbound

This paper cites Strauss, T.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Strauss, T

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:25.929513Z

Source-reported events for the cited work

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

Observation 6daabd95-a41b-4012-9245-450bf7566319 · outbound

This paper cites Rasmussen, Inclusion-qPAT,https://github.com/akselkaastras/ inclusion-qPAT(2023).

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Rasmussen, Inclusion-qPAT,https://github.com/akselkaastras/ inclusion-qPAT(2023)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:07:25.919167Z

Source-reported events for the cited work

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

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