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Combining checkpointing and data compression for large scale seismic inversion., , , , , , and . CoRR, (2018)High-level python abstractions for optimal checkpointing in inversion problems., , , , , , and . CoRR, (2018)Low-memory stochastic backpropagation with multi-channel randomized trace estimation., , , and . CoRR, (2021)Solving multiphysics-based inverse problems with learned surrogates and constraints., , , and . Adv. Model. Simul. Eng. Sci., 10 (1): 14 (December 2023)Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification., , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 332-349. PMLR, (2023)Time-lapse full-waveform permeability inversion: a feasibility study., , , and . CoRR, (2024)Devito: Automated Fast Finite Difference Computation., , , , , and . WOLFHPC@SC, page 11-19. IEEE Computer Society, (2016)Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs., , , , , , , and . Comput. Geosci., (September 2023)Extended source imaging, a unifying framework for seismic & medical imaging., , , , , and . CoRR, (2020)Temporal blocking of finite-difference stencil operators with sparse öff-the-grid" sources., , , , , and . IPDPS, page 497-506. IEEE, (2021)