Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition | Paper Citation Record

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This paper cites Unsupervisedlearningapproachtoquantumwave-packetdynamicsfromcoupledtemporal-spatial correlations.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Unsupervisedlearningapproachtoquantumwave-packetdynamicsfromcoupledtemporal-spatial correlations

Reference 1

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This paper cites Adynamicmodedecompositionframeworkforglobalpowersystemoscillationanalysis.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Adynamicmodedecompositionframeworkforglobalpowersystemoscillationanalysis

Reference 2

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This paper cites Learning long-term dependencies with gradient descent is difficult.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Learning long-term dependencies with gradient descent is difficult

Reference 3

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This paper cites Decoherence in qubits due to low-frequency noise.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Decoherence in qubits due to low-frequency noise

Reference 4

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This paper cites Stochastic theory of line shape: Generalization of the kubo-anderson model.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Stochastic theory of line shape: Generalization of the kubo-anderson model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.556110Z

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This paper cites Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition

Reference 6

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This paper cites Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.549401Z

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This paper cites Non-markovian qubit dynamics in the presence of 1/f noise.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Non-markovian qubit dynamics in the presence of 1/f noise

Reference 8

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Observation 64b213b5-f727-4d9d-8bf8-c5c01117f862 · outbound

This paper cites Noisespectroscopy through dynamical decoupling with a superconducting flux qubit.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Noisespectroscopy through dynamical decoupling with a superconducting flux qubit

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.535002Z

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This paper cites Theory and Experimental Demonstration of Quantum Invariant Filtering.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Theory and Experimental Demonstration of Quantum Invariant Filtering

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:26:15.279722Z

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This paper cites Regularization of Inverse Problems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Regularization of Inverse Problems

Reference 11

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This paper cites Introductiontoquantumnoise,measurement,andamplification.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Introductiontoquantumnoise,measurement,andamplification

Reference 12

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Observation e4e49060-e4c5-4acd-b3e5-36456a0358f9 · outbound

This paper cites Quantumfilterdiagonalizationwithcompresseddouble-factorizedhamiltonians.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Quantumfilterdiagonalizationwithcompresseddouble-factorizedhamiltonians

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.529371Z

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This paper cites Phase noise in oscillators: A unifying theory and numerical methods for characterization.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Phase noise in oscillators: A unifying theory and numerical methods for characterization

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T19:26:15.012429Z

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This paper cites Machine learning & artificial intelligence in the quantum domain: a review of recent progress.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Machine learning & artificial intelligence in the quantum domain: a review of recent progress

Reference 15

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This paper cites Finding structure in time.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Finding structure in time

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.523550Z

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Observation 54373a73-9b18-470e-8a94-dbc128d96e5a · outbound

This paper cites Initial decoherence in solid state qubits.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Initial decoherence in solid state qubits

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.518172Z

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Observation 495520bf-cdc9-49db-a833-ad1239b3ef58 · outbound

This paper cites Bayesian quantum noise spectroscopy.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Bayesian quantum noise spectroscopy

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T19:26:15.000301Z

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Observation c41e37df-b8e4-4bee-89d7-c200fff47c69 · outbound

This paper cites Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.512413Z

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Observation c3a9f79e-d3a6-4dad-8dcd-ba2d9443d34e · outbound

This paper cites Quantum Noise.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Quantum Noise

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.506320Z

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This paper cites Handbook of stochastic methods.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Handbook of stochastic methods

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.500614Z

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This paper cites Universal dynamical decoherence control of noisy single-and multi-qubit systems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Universal dynamical decoherence control of noisy single-and multi-qubit systems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.494829Z

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Observation 2f7c1420-941e-4d93-be55-1e5eb1a9c8ea · outbound

This paper cites Optimal dynamical decoherence control of a qubit.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Optimal dynamical decoherence control of a qubit

Reference 23

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Observation 56c6117b-cdc6-451d-9724-961b0e7f0a19 · outbound

This paper cites Numericalanalyticcontinuation:Answerstowell-posedquestions.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Numericalanalyticcontinuation:Answerstowell-posedquestions

Reference 24

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This paper cites Colored noise in dynamical systems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Colored noise in dynamical systems

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.481933Z

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This paper cites Long short-term memory.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Long short-term memory

Reference 26

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This paper cites Bayesianinferenceandtheanalyticcontinuationofimaginary-timequantummontecarlodata.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Bayesianinferenceandtheanalyticcontinuationofimaginary-timequantummontecarlodata

Reference 27

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This paper cites Principal Component Analysis.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Principal Component Analysis

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.472759Z

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This paper cites URL:https://www.sciencedirect.com/science/article/pii/S0167947311004099, doi:https://doi.org/10.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition URL:https://www.sciencedirect.com/science/article/pii/S0167947311004099, doi:https://doi.org/10

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.467197Z

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This paper cites Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition.Phys.Rev.Res.7,013085.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition.Phys.Rev.Res.7,013085

Reference 30

Resolution: verified exact; doi, observed 2026-08-06T19:26:14.990530Z

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Observation 07774cc5-0c54-4da1-ac4c-2a9dd7cbb815 · outbound

This paper cites Numerical Solution to Stochastic Differential Equations.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Numerical Solution to Stochastic Differential Equations

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.461590Z

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Observation 1e20d5fe-a5ea-4ce6-b3bc-54ddae3a728d · outbound

This paper cites Artificial intelligence and machine learning for quantum technologies.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Artificial intelligence and machine learning for quantum technologies

Reference 32

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Observation cfe1cc2c-eb4b-44ee-8fdb-0620074a5c4f · outbound

This paper cites A stochastic theory of line shape, in: Shuler, K.E.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition A stochastic theory of line shape, in: Shuler, K.E

Reference 33

Resolution: verified exact; doi, observed 2026-08-06T19:26:14.979580Z

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Observation 1994ebcc-1308-485d-bb65-cd3c74354587 · outbound

This paper cites Dynamic mode decomposition: data-driven modeling of complex systems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamic mode decomposition: data-driven modeling of complex systems

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.455851Z

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Observation 2cb4d9af-7d41-4511-89a1-4c060393228b · outbound

This paper cites Deep learning.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Deep learning

Reference 35

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Observation ef423369-f4ae-4b48-a90a-0a0971ad7eb3 · outbound

This paper cites Lecture Notes on the Theory of Open Quantum Systems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Lecture Notes on the Theory of Open Quantum Systems

Reference 36

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This paper cites Fdm: the filter diagonalization method for data processing in nmr experiments.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Fdm: the filter diagonalization method for data processing in nmr experiments

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.449036Z

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Observation ea6f66c2-2114-4a9d-b14b-87e978e6ee75 · outbound

This paper cites Dynamic mode decomposition for analysis of time-series data.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamic mode decomposition for analysis of time-series data

Reference 38

Resolution: verified exact; doi, observed 2026-08-06T19:26:14.967991Z

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Observation 826e5c7e-4fc5-451e-ab41-9432936151c1 · outbound

This paper cites Stochasticoptimizationmethodforanalyticcontinuation,in:Correlatedelectrons:frommodelstomaterials.Forschungszen- trum Jülich GmbH Institute for Advanced Simulation.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Stochasticoptimizationmethodforanalyticcontinuation,in:Correlatedelectrons:frommodelstomaterials.Forschungszen- trum Jülich GmbH Institute for Advanced Simulation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.442647Z

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Observation 8f0af6a3-c24f-4f81-ac7e-85ada959469c · outbound

This paper cites Bound state eigenfunctions from wave packets: Time→energy resolution.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Bound state eigenfunctions from wave packets: Time→energy resolution

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.436702Z

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Observation 14649492-9762-448a-a34b-1097677fbb09 · outbound

This paper cites Qubit noise spectroscopy for non-gaussian dephasing environments.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Qubit noise spectroscopy for non-gaussian dephasing environments

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.431260Z

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Observation 67abd277-7d67-4ca3-b085-f9e3f96e4a07 · outbound

This paper cites Decoherence and 1/f noise in josephson qubits.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Decoherence and 1/f noise in josephson qubits

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.425503Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94c8fa0f-2bae-4d4f-a19c-916d2d59703b · outbound

This paper cites 1/f noise: Implications for solid-state quantum information.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition 1/f noise: Implications for solid-state quantum information

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.420344Z

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Observation 12f492ff-0b09-4355-a527-5c6abddab11c · outbound

This paper cites A technique for the numerical solution of certain integral equations of the first kind.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition A technique for the numerical solution of certain integral equations of the first kind

Reference 44

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Observation 4b6ae6f5-228f-443a-a561-c271223a3e88 · outbound

This paper cites Dynamicmodedecompositionwithcontrol.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamicmodedecompositionwithcontrol

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.414673Z

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Observation 5997801b-ab31-4e5d-ae0e-080b1a059be3 · outbound

This paper cites Discovering dynamic patterns from infectious disease data using dynamic mode decomposition.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Discovering dynamic patterns from infectious disease data using dynamic mode decomposition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.409171Z

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Observation 3d36eb84-8470-4e85-a5c8-5f9ec4881dec · outbound

This paper cites Optimal noise-canceling networks.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Optimal noise-canceling networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.403379Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eea02ccd-81fe-45d7-a18a-06231e63d994 · outbound

This paper cites Spectralanalysisofnonlinearflows.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Spectralanalysisofnonlinearflows

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.396861Z

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Observation f9faa700-50a4-4bd5-bf8c-96097d7267c5 · outbound

This paper cites Dynamic mode decomposition of numerical and experimental data.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamic mode decomposition of numerical and experimental data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.391389Z

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Observation 59692822-e4ac-4abc-8008-0e73cf8decfe · outbound

This paper cites Dynamic mode decomposition and its variants.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamic mode decomposition and its variants

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.385376Z

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Observation e18d80a2-f5c5-48c5-9ad3-d756cf583b7e · outbound

This paper cites Regularization of ill-posed problems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Regularization of ill-posed problems

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:15.377918Z

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Observation 784216ab-eb8d-42fa-9801-6b7ddc6c7a5d · outbound

This paper cites On dynamic mode decomposition: Theory and applications.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition On dynamic mode decomposition: Theory and applications

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:14.930228Z

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Observation 89f1c728-a60e-4db9-8be6-a5c71b5b20d5 · outbound

This paper cites an unresolved cited work.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Unresolved cited work

Reference 53

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This paper cites The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms

Reference 54

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This paper cites Challenges in dynamic mode decomposition.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Challenges in dynamic mode decomposition

Reference 55

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This paper cites Entanglement evolution in a non-markovian environment.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Entanglement evolution in a non-markovian environment

Reference 56

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This paper cites Generative quantum machine learning via denoising diffusion probabilistic models.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Generative quantum machine learning via denoising diffusion probabilistic models

Reference 57

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