Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints | Paper Citation Record

Observation 74df3700-f958-4f5d-bd24-c31988f98619 · outbound

This paper cites Waveform-based avo inversion and avo prediction-error,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Waveform-based avo inversion and avo prediction-error,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.878863Z

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Observation 22984293-153f-4d55-a698-754708b106e5 · outbound

This paper cites High-resolution three-term avo inversion by means of a trivariate cauchy probability distribution,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints High-resolution three-term avo inversion by means of a trivariate cauchy probability distribution,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.866771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5720a85b-0a2f-460f-92c2-58d129fac344 · outbound

This paper cites Avo inversion based on transfer learning and low-frequency model,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Avo inversion based on transfer learning and low-frequency model,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.853789Z

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Observation 426f1e76-369f-441e-8a06-a32c42a9f964 · outbound

This paper cites On the reflection and propagation of seismic waves,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints On the reflection and propagation of seismic waves,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.842465Z

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Observation 51069e4f-3a44-411c-9db8-725e390c35f3 · outbound

This paper cites Approximations to the reflection and transmission co- efficients of plane longitudinal and transverse waves,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Approximations to the reflection and transmission co- efficients of plane longitudinal and transverse waves,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.830379Z

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Observation bb0204dd-9971-4573-961b-4daaee3bd6da · outbound

This paper cites Quantitative seismology: Theory and methods,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Quantitative seismology: Theory and methods,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.818622Z

Source-reported events for the cited work

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Observation 9ec234ce-e420-4b83-9e26-0a43eb3461cd · outbound

This paper cites A simplification of the zoeppritz equations,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints A simplification of the zoeppritz equations,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.807116Z

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Observation 3578f3f4-383d-4e2e-b912-f70c3d24b6de · outbound

This paper cites Weighted stacking for rock property estimation and detection of gas,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Weighted stacking for rock property estimation and detection of gas,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.794124Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8bf4e2b-a55b-4c11-b06b-5b152cecb754 · outbound

This paper cites Improved avo fluid detection and lithology discrimination using lam ´e petrophysical parameters;“λρ.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Improved avo fluid detection and lithology discrimination using lam ´e petrophysical parameters;“λρ

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.782373Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91d0d0d4-488c-4464-8eb3-bce954eb40ff · outbound

This paper cites The application of avo and inversion to the estimation of rock properties,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints The application of avo and inversion to the estimation of rock properties,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.770067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 922e76df-6e14-4a62-a259-c8d5517d7c40 · outbound

This paper cites Linearized inversion of 3-d multi-offset data: Background reconstruction and avo inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Linearized inversion of 3-d multi-offset data: Background reconstruction and avo inversion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.757219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eecf4956-c745-4a93-9d68-2b9b0197807f · outbound

This paper cites Linearized amplitude variation with offset (avo) inversion with supercritical angles,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Linearized amplitude variation with offset (avo) inversion with supercritical angles,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.745872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c6844c1-ab4a-4553-bcda-60135cda15f9 · outbound

This paper cites Avo inversion based on inverse operator estimation in trust region,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Avo inversion based on inverse operator estimation in trust region,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.734527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 062c7e8d-2dd3-485e-867b-3d0ead97adf4 · outbound

This paper cites Avo inversion with high-order total variation regularization,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Avo inversion with high-order total variation regularization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.723030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 22200078-6073-40ff-833f-094391b4c0f4 · outbound

This paper cites Joint avo inversion in the time and frequency domain with bayesian interference,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Joint avo inversion in the time and frequency domain with bayesian interference,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.711379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43fb91a8-8904-4ff8-9642-1b81c9d9b24d · outbound

This paper cites Hierarchical bayesian probabilistic seismic avo inversion using gibbs sampling with ia2rms algorithm,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Hierarchical bayesian probabilistic seismic avo inversion using gibbs sampling with ia2rms algorithm,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.699521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd91a56c-303b-4843-816d-aaf6c73843ca · outbound

This paper cites Quantitative interpretation using inverse rock-physics modeling on avo data,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Quantitative interpretation using inverse rock-physics modeling on avo data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.686093Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b730818-1304-4548-b0f7-82d703fead6b · outbound

This paper cites Global optimization with model-space preconditioning: Application to avo inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Global optimization with model-space preconditioning: Application to avo inversion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.673559Z

Source-reported events for the cited work

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Observation 3ae868a5-ae58-43a0-8a42-b6d392bd391c · outbound

This paper cites Constrained non-linear avo inversion based on the adjoint-state optimization,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Constrained non-linear avo inversion based on the adjoint-state optimization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.661984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b23bd66b-40a1-417f-85bf-42ae33823f2e · outbound

This paper cites Frequency-dependent avo inversion applied to physically based models for seismic attenuation,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Frequency-dependent avo inversion applied to physically based models for seismic attenuation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.650626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 966cb9f9-6eab-4452-9f9f-3065e23a815c · outbound

This paper cites Acoustic impedance pre- diction using an attention-based dual-branch double-inversion network,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Acoustic impedance pre- diction using an attention-based dual-branch double-inversion network,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.639852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cba0a6ad-2eec-4f5a-bd93-470cff93a3e3 · outbound

This paper cites Avo inversion in exploration—key learnings from a norwegian sea prospect,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Avo inversion in exploration—key learnings from a norwegian sea prospect,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.628502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c8ea743-e94b-4465-99f8-3bd1a11e6767 · outbound

This paper cites Pp and ps joint avo inversion and fluid prediction,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Pp and ps joint avo inversion and fluid prediction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.617693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd7b9cfa-3d8e-4981-9b1e-dd8735fb5432 · outbound

This paper cites Pertinent multigate mixture-of- experts-based prestack three-parameter seismic inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Pertinent multigate mixture-of- experts-based prestack three-parameter seismic inversion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.605071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 01a48799-d059-4f70-b50e-51b5f6a50992 · outbound

This paper cites Data-driven method for an improved linearised avo inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Data-driven method for an improved linearised avo inversion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.590006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92639529-f0b1-4c91-a056-34144f0d5c6f · outbound

This paper cites Deep learning seismic inversion based on prestack waveform datasets,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Deep learning seismic inversion based on prestack waveform datasets,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.578391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d90c4ac2-6f07-47fc-bddf-0397f663e1b0 · outbound

This paper cites Deep-learning inversion: A next-generation seismic velocity model building method,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Deep-learning inversion: A next-generation seismic velocity model building method,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.567222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c693393-cb93-4f08-9d1c-161d3618e60e · outbound

This paper cites Current status and application prospect of deep learning in geophysics,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Current status and application prospect of deep learning in geophysics,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.556178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 63ab5bf7-9431-4dfe-946d-b86e5844509f · outbound

This paper cites Deep learning reservoir porosity prediction based on multilayer long short-term mem- ory network,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Deep learning reservoir porosity prediction based on multilayer long short-term mem- ory network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.545335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b35ecc2-68c7-4786-b178-735a6c02d4dd · outbound

This paper cites A multiple-input deep residual convolutional neural network for reservoir permeability prediction,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints A multiple-input deep residual convolutional neural network for reservoir permeability prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.533134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f32f0dd3-d17d-4a7d-9e81-e69cde21e166 · outbound

This paper cites Seismic fault detection with convolutional neural network,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Seismic fault detection with convolutional neural network,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.519848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e0221ef-9530-4f9f-a589-449d3ab006ba · outbound

This paper cites Fast global self-attention for seismic image fault identification,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Fast global self-attention for seismic image fault identification,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.498615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0e7995b2-881b-4216-82b0-986ea60a3414 · outbound

This paper cites A twice denoising autoencoder framework for random seismic noise attenuation,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints A twice denoising autoencoder framework for random seismic noise attenuation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.483431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 466fdccb-1a16-49bc-ad92-bc04d803e496 · outbound

This paper cites Low-frequency noise suppres- sion method based on improved dncnn in desert seismic data,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Low-frequency noise suppres- sion method based on improved dncnn in desert seismic data,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.468807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cd98d6d6-56a8-468e-8e2d-2320fd69ffd7 · outbound

This paper cites Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.455445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aef95e84-8bd4-43a9-aac0-8ee76cc79ac5 · outbound

This paper cites Semi-supervised seismic strati- graphic interpretation constrained by spatial structure,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Semi-supervised seismic strati- graphic interpretation constrained by spatial structure,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.444416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b19cc1f6-6f01-406b-8f61-b28c2ada44d8 · outbound

This paper cites Convolutional neural network for seismic impedance inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Convolutional neural network for seismic impedance inversion,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.433375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9850d640-42a4-4a46-835b-46582f6a98ae · outbound

This paper cites Estimation of acoustic impedance from seismic data using temporal convolutional network,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Estimation of acoustic impedance from seismic data using temporal convolutional network,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.421573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fddd69f2-9d89-4edc-ac21-9be63b1c8130 · outbound

This paper cites Elastic-parameters inversion from ei based on the deep-learning method,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Elastic-parameters inversion from ei based on the deep-learning method,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.410451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 00d15b27-1f57-4be5-a564-f5c6fa74abc7 · outbound

This paper cites Robust deep learning seismic inversion with a priori initial model constraint,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Robust deep learning seismic inversion with a priori initial model constraint,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.397824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b817622-e73c-4c57-a9a8-d1c1037dd794 · outbound

This paper cites Deep-Learning Inversion of Seismic Data.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Deep-Learning Inversion of Seismic Data

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:21:47.183267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bdc2ee96-ff9b-420b-841b-a12a400ec7b3 · outbound

This paper cites Applications of supervised deep learning for seismic interpretation and inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Applications of supervised deep learning for seismic interpretation and inversion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.379319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8c3fa8c-f8d0-4969-ba60-9d4d8f443bb8 · outbound

This paper cites Semisupervised sequence modeling for elastic impedance inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Semisupervised sequence modeling for elastic impedance inversion,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.368507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3d77985-c17a-4365-bbc8-f1eb3c18bcd9 · outbound

This paper cites The Nash-MTL-STCN Method For Prestack Three-Parameter Inversion.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints The Nash-MTL-STCN Method For Prestack Three-Parameter Inversion

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:21:47.165496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 306839fb-82f1-4450-9832-ed3f89d9d14e · outbound

This paper cites Multi-Task Learning as a Bargaining Game.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Multi-Task Learning as a Bargaining Game

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:46.939066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f51c3db-6941-4a9e-b862-80b43b26f185 · outbound

This paper cites Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.357628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 478aebb3-8dad-4b83-af20-109cb5f5209a · outbound

This paper cites Prestack and post- stack inversion using a physics-guided convolutional neural network,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Prestack and post- stack inversion using a physics-guided convolutional neural network,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.346581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99a7fac1-e2dd-4b80-8a18-af6b9e4cf39e · outbound

This paper cites Deep learning- based pre-stack seismic inversion constrained by avo attributes,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Deep learning- based pre-stack seismic inversion constrained by avo attributes,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.335803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0e56b544-6607-4d54-bddc-784400634f63 · outbound

This paper cites Deep recurrent architectures for seismic tomography,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Deep recurrent architectures for seismic tomography,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.324044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14834369-8ed4-4447-8cd2-b8b9a7a89506 · outbound

This paper cites Application of bi- directional long short-term memory recurrent neural network for seismic impedance inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Application of bi- directional long short-term memory recurrent neural network for seismic impedance inversion,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.312711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24b798bb-19b2-4a39-a955-00f2cd5dd1dc · outbound

This paper cites Seismic velocity estimation: A deep recurrent neural-network approach,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Seismic velocity estimation: A deep recurrent neural-network approach,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.300055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc83ed6d-4cd7-4939-a19b-dc1550f711ba · outbound

This paper cites Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.288535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75cf6921-0345-41e8-b8e8-835f67fd5837 · outbound

This paper cites Seimic impedance inversion based on semi-supervised learning,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Seimic impedance inversion based on semi-supervised learning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.277332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b428f1fb-14a5-4dcf-a45c-f2df50179b20 · outbound

This paper cites Avo inversion based on closed-loop multitask conditional wasserstein generative adversarial net- work,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Avo inversion based on closed-loop multitask conditional wasserstein generative adversarial net- work,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.265498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc30e903-3829-4f8d-b82f-20b566c40439 · outbound

This paper cites Deep learning for multidimensional seismic impedance inversion,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Deep learning for multidimensional seismic impedance inversion,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.252177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64368725-3a84-4c2d-89a5-b7d3e0b9a177 · outbound

This paper cites Seismic inversion based on 2d-cnns and domain adaption,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Seismic inversion based on 2d-cnns and domain adaption,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.240567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a22f6e5-4400-4a6b-9e97-727162f243ad · outbound

This paper cites Joint learning for spatial context-based seismic inversion of multiple data sets for improved generalizability and robustness,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Joint learning for spatial context-based seismic inversion of multiple data sets for improved generalizability and robustness,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.228616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 01747368-fa63-47c9-bb12-862854240493 · outbound

This paper cites Transinver: 3d data- driven seismic inversion based on self-attention,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Transinver: 3d data- driven seismic inversion based on self-attention,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.216117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d351cc1f-c2c6-445f-a773-cc7a1e74070a · outbound

This paper cites A review of generalized zero-shot learning meth- ods,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints A review of generalized zero-shot learning meth- ods,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:47.203027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08108394-060b-4d83-989b-a1cc0d7ff280 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:46.998103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8fd222-8424-44e1-8fd2-e345905c6ac4 · outbound

This paper cites Zero-shot self-consistency learning for seismic irregular spatial sampling reconstruction,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Zero-shot self-consistency learning for seismic irregular spatial sampling reconstruction,

Reference 61

Resolution: verified exact; raw_fallback, observed 2026-08-10T14:21:47.122182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8203988-19f2-4de4-934b-90dad72ffa96 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints Pytorch: An imperative style, high-performance deep learning library,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:47.006487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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