A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
This study improves uncertainty estimation in FWI using SVGD with annealing and PCA.
Physics-consistent method improves seismic inversion accuracy.
Deep learning speeds up material property quantification using stress waves.
We make posterior sampling in FWI feasible for large surveys.
We propose a predictive neural network architecture that can be utilized to update reference velocity models as inputs to the full waveform inversion. Deep learning models are explored to augment velocity model building workflows during processing the 3D seismic volume in salt-prone environments. Specifically, a neural…
Paper models spatio-temporal extremes using conditional variational autoencoders.