✎ publications:annualreports:saig_23p [SAIG]

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====== SAIG-23 Presentations (2023) ======

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<fc #008000>M D Sacchi</fc>\\
  * {{:sponsorsandstudents:saig23p:welcome.pdf| Welcome}}


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<fc #008000>Joaquin Acedo</fc>\\
  * {{:sponsorsandstudents:saig23p:Joaquin_1.pdf|Dispersed source arrays for broadband seismic data adquisition}}



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<fc #008000>Rongzhi Lin</fc>\\
  * {{:sponsorsandstudents:saig23p:Rongzhi_Mauricio_Deblending.pdf|Interpolated fast and computational-efficient multidimensional Singular Spectrum Analysis (I-FMSSA)
for compressive simultaneous-source data
processing}}

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<fc #008000> Yi Guo</fc>\\
  * {{:sponsorsandstudents:saig23p:yi1.pdf| Optimal seismic sensor placement based on reinforcement learning: An example of OBN acquisition design}}


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<fc #008000> Yi Guo</fc>\\
  * {{:sponsorsandstudents:saig23p:yi2.pdf| Seismic Noise Attenuation via Learned
and Analytical Basis Functions}}



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<fc #008000> Alejandro Quiaro</fc>\\
  * {{:sponsorsandstudents:saig23p:Quiaro_1.pdf| Efficient ray tracing on self-adapting random grids}}



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<fc #008000> Kristian Torres </fc>\\
  * {{:sponsorsandstudents:saig23p:Kristian_1.pdf| Deep decomposition for thin-bed reflectivity inversion}}
 


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<fc #008000> Kristian Torres </fc>\\
  * {{:sponsorsandstudents:saig23p:Kristian_2.pdf| Preconditioning least-squares migration with a deep-learning inverse Hessian approximation}}
 

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<fc #008000> Rafael Manenti </fc>\\
  * {{:sponsorsandstudents:saig23p:Rafael_1.pdf| Data interpolation using Tensor Tree decomposition as rank-reduction method}}
 


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<fc #008000> Honglin Chen </fc>\\
  * {{:sponsorsandstudents:saig23p:Hongling_Mauricio_DIP.pdf| Seismic reflectivity inversion via a Image Prior}}
 

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<fc #008000> M D Sacchi </fc>\\
  * {{:sponsorsandstudents:saig23p:DL_Sacchi.pdf|Parametric Dictionary Learning for extracting basis functions that resemble local seismic waveforms}}
 


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<fc #008000> M D Sacchi </fc>\\
  * {{:sponsorsandstudents:saig23p:Atila_1.pdf|Future research project of Atila Saraiva Quintela Soares}}
 

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