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Original developer of Devito since 2016, graduated with a PhD from Georgia Insitute of Technology in 2020
- PDE constrained optimisation
- HPC for large scale inverse problems (FWI, RTM)
- Finite-difference computing and DLS
- Machine learning
- Physical modelling
- Medical imaging
- Computational machine learning
2 sponsors have funded mloubout’s work.
Featured work
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devitocodes/devito
DSL and compiler framework for automated finite-differences and stencil computation
Python 549 -
slimgroup/JUDI.jl
Julia Devito inversion.
Julia 96 -
slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
Julia 149 -
slimgroup/TimeProbeSeismic.jl
Memory efficient seismic inversion via trace estimation
Julia 9 -
slimgroup/dfno
Distributed Fourier Neural Operators
Python 28 -
slimgroup/PhotoAcoustic.jl
Forward and adjoint photoacoustic operators built on top of JUDI which uses DEVITO as backend for solving wave PDE's.
Julia 7