Paper Citation Record · LEDGER

Application of Sensitivity Analysis Methods for Studying Neural Network Models

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2504.15100.

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pith.paper-citation-record.v1
2504.15100 v1

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measured 34 of 34 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation 41e3c431-5799-4c85-9651-16290efc8c86 · outbound

This paper cites Neural networks and physical sys- tems with emergent collective computational abil- ities.,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Neural networks and physical sys- tems with emergent collective computational abil- ities.,

Reference 1

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This paper cites Highly accurate protein structure prediction with AlphaFold,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Highly accurate protein structure prediction with AlphaFold,

Reference 2

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Observation e8b240a4-a4c5-4681-b2e6-d041b789178a · outbound

This paper cites Video compression dataset and benchmark of learning- based video-quality metrics,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Video compression dataset and benchmark of learning- based video-quality metrics,

Reference 3

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Observation e768e9c6-e8aa-4239-8ec6-68e1ab1e278d · outbound

This paper cites Neural Video Compression using Spatio-Temporal Priors.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Neural Video Compression using Spatio-Temporal Priors

Reference 4

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This paper cites Attention is all you need,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Attention is all you need,

Reference 5

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Observation 9b20819d-b515-44d5-beed-bd977aa3f2b8 · outbound

This paper cites Employing fingerprinting of medicinal plants by means of lc-ms and machine learning for species identification task,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Employing fingerprinting of medicinal plants by means of lc-ms and machine learning for species identification task,

Reference 6

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Observation e8c903e9-de09-4baa-b640-54770afc52f5 · outbound

This paper cites Overview of visualization methods for artificial neural networks,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Overview of visualization methods for artificial neural networks,

Reference 7

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Observation 84a59513-ed11-4e73-9092-b0be53a99844 · outbound

This paper cites Hopfield Networks is All You Need.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Hopfield Networks is All You Need

Reference 8

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This paper cites Art of singular vec- tors and universal adversarial perturbations,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Art of singular vec- tors and universal adversarial perturbations,

Reference 9

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This paper cites Fast Feature Fool: A data independent approach to universal adversarial perturbations.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Fast Feature Fool: A data independent approach to universal adversarial perturbations

Reference 10

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Observation b688a248-fd55-47e5-b5a2-80051e6c2e04 · outbound

This paper cites Explainable artificial in- telligence: an analytical review,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Explainable artificial in- telligence: an analytical review,

Reference 11

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Observation 57c73686-38cb-40ef-baf2-9d2d9b3593cd · outbound

This paper cites Ex- ploring specialization and sensitivity of convolu- tional neural networks in the context of simul- taneous image augmentations,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Ex- ploring specialization and sensitivity of convolu- tional neural networks in the context of simul- taneous image augmentations,

Reference 12

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Observation 8bcf48cc-2cd6-4274-b2e5-ae8d5d982ead · outbound

This paper cites Using the ADAP learning algorithm to forecast the onset of diabetes mellitus,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Using the ADAP learning algorithm to forecast the onset of diabetes mellitus,

Reference 13

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Diabetes dataset,

Reference 14

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Unresolved cited work

Reference 15

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Observation b43101a2-0592-41b5-92d4-fb472d9401fe · outbound

This paper cites Global sensitivity indices for nonlin- ear mathematical models and their Monte Carlo estimates,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Global sensitivity indices for nonlin- ear mathematical models and their Monte Carlo estimates,

Reference 16

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Observation d99ca63f-354b-4aa3-9080-b55fe2db6461 · outbound

This paper cites A fully multiple-criteria implementation of the sobol method for parameter sensitivity analysis,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models A fully multiple-criteria implementation of the sobol method for parameter sensitivity analysis,

Reference 17

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Observation 76032996-04a5-436b-9d40-383ff04711f6 · outbound

This paper cites SALib: An open- source python library for sensitivity analysis,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models SALib: An open- source python library for sensitivity analysis,

Reference 18

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Observation a653c1bb-9280-4265-93c5-976a261c2502 · outbound

This paper cites On quasi-monte carlo integrations,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models On quasi-monte carlo integrations,

Reference 19

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Observation c36b60ca-2ebe-407c-b087-80640d20e098 · outbound

This paper cites Sensitivity analysis of soil parameters in crop model supported with high-throughput computing,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Sensitivity analysis of soil parameters in crop model supported with high-throughput computing,

Reference 20

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This paper cites Sensitivity analysis of neural net- work models: Applying methods of analysis of finite fluctuations,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Sensitivity analysis of neural net- work models: Applying methods of analysis of finite fluctuations,

Reference 21

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Observation e97c77a0-63bc-4a50-9116-de5a7969739d · outbound

This paper cites Sensi- tivity analysis of weather factors affecting pv mod- ule output power based on artificial neural net- work and sobol algorithm,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Sensi- tivity analysis of weather factors affecting pv mod- ule output power based on artificial neural net- work and sobol algorithm,

Reference 22

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Observation 60dd2cce-37cd-4859-a824-edc2a3f9e812 · outbound

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 23

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Learning multiple layers of features from tiny images,

Reference 24

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This paper cites Neu- ralSens: Sensitivity Analysis of Neural Networks,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Neu- ralSens: Sensitivity Analysis of Neural Networks,

Reference 25

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Observation 79ed2b23-b242-4529-b8a3-43a261f1d977 · outbound

This paper cites Do CIFAR-10 Classifiers Generalize to CIFAR-10?.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Do CIFAR-10 Classifiers Generalize to CIFAR-10?

Reference 26

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Fast gradient-free acti- vation maximization for neurons in spiking neural networks,

Reference 27

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 28

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Deep resid- ual learning for image recognition,

Reference 29

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This paper cites Accelerating de- tection of lung pathologies with explainable ultra- sound image analysis,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Accelerating de- tection of lung pathologies with explainable ultra- sound image analysis,

Reference 30

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Observation b80ce1c2-4944-4ead-a922-9f0dc329e76c · outbound

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Gan ran xing fei yan chao sheng zhen duan zhuan jia jian yi,

Reference 31

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Application of Sensitivity Analysis Methods for Studying Neural Network Models Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 32

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Observation b35c1ce6-407e-447c-96b2-a2eeb471b2ee · outbound

This paper cites Explainable AI for clinical and remote health applications: a sur- vey on tabular and time series data,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Explainable AI for clinical and remote health applications: a sur- vey on tabular and time series data,

Reference 33

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Observation de5d37f0-0e49-4d2b-913e-979ccd060471 · outbound

This paper cites Sobol tensor trains for global sensitiv- ity analysis,.

Application of Sensitivity Analysis Methods for Studying Neural Network Models Sobol tensor trains for global sensitiv- ity analysis,

Reference 34

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Pith citing papers

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