activity
20182025
most citedOptimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools

51 citations · 202 across the 13 of their papers we have counts for

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Showing 2024Show all

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cs.CV2024

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization

Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner +7

Physical models in the form of partial differential equations serve as important priors for many under-constrained problems. One such application is tumor treatment planning, which…

physics.flu-dyn2024

Data-driven shape inference in three-dimensional steady state supersonic flows using ODIL and JAX-Fluids

Aaron B. Buhendwa, Deniz A. Bezgin, Petr Karnakov +2

We present a novel data- and first-principles-driven method for inferring the shape of a solid obstacle and its flow field in three-dimensional steady-state supersonic flows. The m…