Initial condition recovery in nonlinear damped viscous photoacoustic tomography using a convolutional neural network-guided gradient-free optimization framework
math.OC, cs.LG
Submitted: 2026-10-01
Updated: 2026-10-01
Sources
- Implicit learning to determine variable sound speed and the reconstruction operator in photoacoustic tomography
- An observability estimate for the wave equation and applications to the Neumann boundary controllability for semi-linear wave equations
Related papers
- Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise
- Adam-HNAG: A Convergent Reformulation of Adam with Accelerated Rate
- Incremental Learning in Mirror Flows
- Second-Order Optimization with Asynchronous Curvature
- Online Control via Counterfactual Tracking
- Asynchronous Replanning in Two Population Linear Quadratic Mean Field Games: Information Requirements and Stability