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Recent Publications

InvertibleNetworks.jl - Memory efficient deep learning in Julia - Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann - Conference - (JuliaCon, virtual)
Learned wave-based imaging – variational inference at scale - Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin - Conference - (Delft, virtual)
Time-domain Wavefield Reconstruction Inversion for large-scale seismic inversion - Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, Felix J. Herrmann - Conference - (SIAM GS, virtual)
Fast and reliability-aware seismic imaging with conditional normalizing flows - Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, Felix J. Herrmann - Conference - (KAUST, virtual)
Ultra-low memory seismic inversion with randomized trace estimation - Mathias Louboutin, Felix J. Herrmann - Conference - (SEG, just accepted)
Learning by example: fast reliability-aware seismic imaging with normalizing flows - Ali Siahkoohi, Felix J. Herrmann - Conference - (SEG, just accepted)
Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example - Rajiv Kumar, Maria Kotsi, Ali Siahkoohi, Alison Malcolm - Conference - (SEG, just accepted)