MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...
Abstract: Solving total variation problems is fundamentally important for many computer vision tasks, such as image smoothing, optical flow estimation and 3D surface reconstruction. However, the ...
Abstract: In geophysics, full waveform inversion rely on an efficient forward modeling method. However, a direct solver is computationally expensive and requires significant in-core memory.
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