Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems | Paper Citation Record

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This paper cites Alsup and B.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Alsup and B

Reference 1

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This paper cites Amari , Natural gradient works efficiently in learning , Neural computation, 10 (1998), pp.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Amari , Natural gradient works efficiently in learning , Neural computation, 10 (1998), pp

Reference 2

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This paper cites Arasaratnam and S.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Arasaratnam and S

Reference 3

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 4

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This paper cites Beskos, A.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Beskos, A

Reference 5

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 6

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This paper cites Borker, D.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Borker, D

Reference 7

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 8

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This paper cites Covariance-modulated optimal transport and gradient flows.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Covariance-modulated optimal transport and gradient flows

Reference 9

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This paper cites Cao and D.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Cao and D

Reference 10

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This paper cites Carrillo and U.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Carrillo and U

Reference 11

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 12

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 13

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This paper cites Sampling via Gradient Flows in the Space of Probability Measures.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Sampling via Gradient Flows in the Space of Probability Measures

Reference 14

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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This paper cites Calibrate, Emulate, Sample.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Calibrate, Emulate, Sample

Reference 16

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This paper cites Detommaso, T.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Detommaso, T

Reference 17

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 18

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This paper cites Domingo-Enrich and A.-A.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Domingo-Enrich and A.-A

Reference 19

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This paper cites Doucet, A.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Doucet, A

Reference 20

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This paper cites Elfring, E.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Elfring, E

Reference 21

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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This paper cites Foreman-Mackey, D.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Foreman-Mackey, D

Reference 23

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 24

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This paper cites Garbuno-Inigo, F.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Garbuno-Inigo, F

Reference 25

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This paper cites Gayrard, A.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Gayrard, A

Reference 26

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This paper cites Gayrard, A.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Gayrard, A

Reference 27

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This paper cites Gelman, W.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Gelman, W

Reference 28

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 29

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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This paper cites Goodman and J.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Goodman and J

Reference 31

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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This paper cites Hairer and J.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Hairer and J

Reference 33

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This paper cites Han and Q.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Han and Q

Reference 34

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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This paper cites Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians

Reference 40

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 41

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 42

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Jordan, D

Reference 43

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Julier, J

Reference 44

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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This paper cites Kaipio and E.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Kaipio and E

Reference 47

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Lambert, S

Reference 48

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 50

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This paper cites Liu , Stein variational gradient descent as gradient flow , Advances in neural information processing systems, 30 (2017).

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Liu , Stein variational gradient descent as gradient flow , Advances in neural information processing systems, 30 (2017)

Reference 51

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 52

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This paper cites Lopez-Gomez, C.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Lopez-Gomez, C

Reference 53

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This paper cites Sequential Monte Carlo with Gaussian Mixture Approximation for Infinite-Dimensional Statistical Inverse Problems.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Sequential Monte Carlo with Gaussian Mixture Approximation for Infinite-Dimensional Statistical Inverse Problems

Reference 54

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 55

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This paper cites Martens, New insights and perspectives on the natural gradient method, Journal of Machine Learning Research, 21 (2020), pp.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Martens, New insights and perspectives on the natural gradient method, Journal of Machine Learning Research, 21 (2020), pp

Reference 56

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Observation a61735d8-1d19-4b0f-a345-4678247f5197 · outbound

This paper cites Sampling in Unit Time with Kernel Fisher-Rao Flow.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Sampling in Unit Time with Kernel Fisher-Rao Flow

Reference 57

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This paper cites Mo¨es, J.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Mo¨es, J

Reference 58

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Observation 1d631108-560b-4a2b-a29e-c990c886e893 · outbound

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 59

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Observation a0648a8f-80fa-4e7e-9eb7-64db05d39d02 · outbound

This paper cites Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference

Reference 60

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This paper cites Opper and C.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Opper and C

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.842600Z

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Observation 6ad0fd19-ae3d-4a0a-8632-9995f54dd052 · outbound

This paper cites an unresolved cited work.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:48:02.825005Z

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Observation 61dae051-e9a6-4e90-a6f3-9178fd828636 · outbound

This paper cites Ranganath, S.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Ranganath, S

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.803909Z

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Observation 70b20003-1bb2-438e-b6b2-414bec770b15 · outbound

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:48:02.789365Z

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Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 65

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Observation 14fdf273-2bef-47d0-8f34-97c98f757fab · outbound

This paper cites Smith , Sequential Monte Carlo methods in practice , Springer Science & Business Media, 2013.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Smith , Sequential Monte Carlo methods in practice , Springer Science & Business Media, 2013

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.761561Z

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Observation 1454165b-115e-4179-bdab-1d999dfba1f7 · outbound

This paper cites an unresolved cited work.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 67

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Observation b8ffa152-5be2-430a-86e9-729ba17c5e8e · outbound

This paper cites an unresolved cited work.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 68

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Observation d104f1cd-52a4-45de-9094-b184299ea97a · outbound

This paper cites Tebaldi, R.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Tebaldi, R

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.717698Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ff29300-bf31-403c-8d69-24e795c3fc16 · outbound

This paper cites an unresolved cited work.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:48:02.703896Z

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Observation ec36b5ea-e6bb-487a-8afd-0e78696904db · outbound

This paper cites an unresolved cited work.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:48:02.689552Z

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Observation db7f6a16-0814-423c-8704-d8c509424b86 · outbound

This paper cites Welandawe, M.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Welandawe, M

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.675633Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48987111-9297-4437-b3da-2f51b755de96 · outbound

This paper cites Wibisono, Sampling as optimization in the space of measures: The langevin dynamics as a composite optimization problem, in Conference on learning theory, PMLR, 2018, pp.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Wibisono, Sampling as optimization in the space of measures: The langevin dynamics as a composite optimization problem, in Conference on learning theory, PMLR, 2018, pp

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.661477Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2bd2e103-64b2-46a4-8fdd-370ab87ee338 · outbound

This paper cites Yan and T.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Yan and T

Reference 74

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Observation ba6f3f79-abf6-47de-9c71-5cf6a606db96 · outbound

This paper cites Yan and T.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Yan and T

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.646566Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0440591-cfae-4a88-b080-ffe8a2356c4c · outbound

This paper cites Yatunin, S.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Yatunin, S

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.632536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4732c43b-19f5-4ffb-908e-7218e9e1745d · outbound

This paper cites Kernel Approximation of Fisher-Rao Gradient Flows.

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Kernel Approximation of Fisher-Rao Gradient Flows

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:02.209574Z

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Observation 6fa247c2-745a-4d9f-b357-31a030b37e7a · outbound

This paper cites We simplify the notation by eNk(eθ) = N (eθ, fmk, fCk), ρGM ea (eθ) = PK k=1 ewk eNk(eθ).

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems We simplify the notation by eNk(eθ) = N (eθ, fmk, fCk), ρGM ea (eθ) = PK k=1 ewk eNk(eθ)

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.616324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f77d52ba-07b9-4e90-a379-289f5412ce10 · outbound

This paper cites Here in the last equality, we can tolerate a constant difference since we will normalize wk(t + ∆t)K k=1 after the update (4.9).

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems Here in the last equality, we can tolerate a constant difference since we will normalize wk(t + ∆t)K k=1 after the update (4.9)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:02.601311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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