LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport | Paper Citation Record

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Bui-Thanh, O

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Petra, J

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Ghattas, K

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Baptista, Y

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Detommaso, T

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Variational Inference with Normalizing Flows

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Normalizing Flows for Probabilistic Modeling and Inference

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Bui-Thanh, O

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Bui-Thanh, O

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Bui-Thanh, O

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Isaac, N

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Spantini, A

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport O’Leary-Roseberry, U

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Hesthaven, S

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Kovachki, Z

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Operator Learning: Algorithms and Analysis

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problems

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport O’Leary-Roseberry, P

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Bui-Thanh, C

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Bigoni, Y

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Marzouk, D

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Farcas, J

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Galbally, K

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Lieberman, K

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Peherstorfer, K

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Bhattacharya, B

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Fresca, A

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport O’Leary-Roseberry, X

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Variational Autoencoding Neural Operators

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Fourier Neural Operator for Parametric Partial Differential Equations

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport LNO: Laplace Neural Operator for Solving Differential Equations

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Nonlocality and Nonlinearity Implies Universality in Operator Learning

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Neural Operator: Graph Kernel Network for Partial Differential Equations

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Accurate, scalable, and efficient Bayesian optimal experimental design with derivative-informed neural operators

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator

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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Derivative-enhanced Deep Operator Network

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Observation 5ed00fc5-1077-4164-ad67-92501abab542 · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.933732Z

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.

Observation c3f6301e-e475-4746-bf79-b4ed761caccc · outbound

This paper cites Kobyzev, S.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Kobyzev, S

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.907922Z

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.

Observation 0e305385-3500-41a2-8b39-51cbac3e8bcb · outbound

This paper cites Density estimation using Real NVP.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Density estimation using Real NVP

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:17.944063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb00606-68d2-4668-b430-e04d4f60c9ed · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.893117Z

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.

Observation 21ae980f-7a65-4ec1-8d86-b157d5fcf8cc · outbound

This paper cites Papamakarios, T.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Papamakarios, T

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.872667Z

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.

Observation d26dbfd2-e3b2-4066-a09a-fff7ae7c7682 · outbound

This paper cites Huang, D.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Huang, D

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.859053Z

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.

Observation 84be7c76-8790-4121-9950-1c999d1881e5 · outbound

This paper cites Block Neural Autoregressive Flow.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Block Neural Autoregressive Flow

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:17.968695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db941197-30ec-48bb-9fcd-9fad94e8a305 · outbound

This paper cites Jaini, K.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Jaini, K

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.835770Z

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.

Observation 7aed6dbf-21e5-478d-9d9a-5ed34235612e · outbound

This paper cites Daniels, M.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Daniels, M

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.817760Z

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.

Observation 8da81014-f4d9-4988-9eb3-ea76793d9d3b · outbound

This paper cites Wehenkel, G.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Wehenkel, G

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.802114Z

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.

Observation c52e63b5-9dd7-452d-908b-419693f37714 · outbound

This paper cites Knothe, Contributions to the theory of convex bodies., Michigan Mathematical Journal 4 (1957) 39–52.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Knothe, Contributions to the theory of convex bodies., Michigan Mathematical Journal 4 (1957) 39–52

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.785351Z

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.

Observation c019d332-ed74-485d-bd77-426f92e4d7e7 · outbound

This paper cites Rosenblatt, Remarks on a Multivariate Transformation, The Annals of Mathematical Statistics 23 (1952) 470 – 472.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Rosenblatt, Remarks on a Multivariate Transformation, The Annals of Mathematical Statistics 23 (1952) 470 – 472

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.770366Z

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.

Observation 9170bf61-c2bd-49ea-a5dd-37197acf5a96 · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.758325Z

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.

Observation a1b6a059-cee9-474f-85c5-ecd9a028b9dd · outbound

This paper cites Marzouk, T.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Marzouk, T

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.743889Z

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.

Observation e6af61bb-b8d1-4e02-ae63-602a498cf3e9 · outbound

This paper cites Spantini, D.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Spantini, D

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.725482Z

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.

Observation 76d7ca79-93a7-4f8d-8735-06c389bee996 · outbound

This paper cites On the representation and learning of monotone triangular transport maps.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport On the representation and learning of monotone triangular transport maps

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:18.032079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9adac3b-367b-4505-b1d4-c02db4a35573 · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.704377Z

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.

Observation b91b3a5e-5fd1-4d9d-9f98-19ce09a25a92 · outbound

This paper cites Westermann, J.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Westermann, J

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.690063Z

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.

Observation 0cb4532b-8762-4a0c-9575-3b5f3b425f7f · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.674589Z

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.

Observation 9b12d6f2-9fa3-405b-b086-1e25f3f889a2 · outbound

This paper cites Zeghal, F.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Zeghal, F

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.652647Z

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.

Observation 24569e7a-4ae5-43cb-986f-c3ecaed8e88e · outbound

This paper cites Brehmer, G.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Brehmer, G

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.629908Z

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.

Observation 56f8963d-632c-4374-a5bd-22f15e9debbd · outbound

This paper cites Sequential Neural Methods for Likelihood-free Inference.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Sequential Neural Methods for Likelihood-free Inference

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:18.075845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c7af42-ee0a-47e2-9499-4da5ec026b19 · outbound

This paper cites Papamakarios, D.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Papamakarios, D

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.608465Z

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.

Observation a16e9c4a-ba59-4dbc-806f-f637ea0f4030 · outbound

This paper cites Greenberg, M.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Greenberg, M

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.594051Z

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.

Observation beda8d40-201b-4be0-964d-a745ec9e568f · outbound

This paper cites Papamakarios, I.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Papamakarios, I

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.577031Z

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.

Observation 6c00de70-0ff1-4498-a77f-db5c242d1eb1 · outbound

This paper cites Baptista, L.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Baptista, L

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.556908Z

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.

Observation 9a1658dc-44c3-446e-98a5-c676a88c99a0 · outbound

This paper cites Ganguly, S.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Ganguly, S

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.519414Z

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.

Observation 6547d057-0310-45f1-bcc3-ee69f96abc17 · outbound

This paper cites Soize, R.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Soize, R

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.496003Z

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.

Observation 04a90d83-8e67-4279-bb56-a21179f3d98b · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.470795Z

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.

Observation bc3fdddd-419a-4ec0-bb88-4002c33174e7 · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:18.121472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68aec5c8-e7cb-4d21-809f-6f5abf746962 · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.427612Z

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.

Observation 299c85d7-3965-4707-b78c-4579390a2594 · outbound

This paper cites Bottou, F.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Bottou, F

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.406681Z

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.

Observation 4dae0fe0-c1d1-455c-adf7-7d76df9bb973 · outbound

This paper cites Isaac, N.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Isaac, N

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.383337Z

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.

Observation a110901c-0d51-4d38-bdfe-894e8464459f · outbound

This paper cites Villa, N.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Villa, N

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.356491Z

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.

Observation 618699f1-7f32-48d8-8172-c2acbf1abe0e · outbound

This paper cites A note on the relationship between PDE-based precision operators and Mat\'ern covariances.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport A note on the relationship between PDE-based precision operators and Mat\'ern covariances

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:23:18.408068Z

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.

Observation 62cc86af-b1c3-40bd-a106-c3abce27ec21 · outbound

This paper cites Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DIC.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DIC

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:18.158132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9404fde0-d3c2-4eff-9d08-fe7bf69ee03e · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.328964Z

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.

Observation 8f7dbbaa-0e16-44f5-88db-406200b92106 · outbound

This paper cites Beskos, G.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Beskos, G

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.304663Z

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.

Observation 0440e394-ac4c-4791-bc0c-1b5132dd5692 · outbound

This paper cites Agapiou, O.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Agapiou, O

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:19.287711Z

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.

Observation 8815d8f2-f3fc-49c3-8b0a-1e7f2211ed9e · outbound

This paper cites an unresolved cited work.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:19.269541Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers