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Learning end-to-end inversion of circular Radon transforms in the partial radial setup
We present a deep learning-based computational algorithm for inversion of circular Radon transforms in the partial radial setup, arising in photoacoustic tomography.
Characterization of Group-Fair Social Choice Rules under Single-Peaked Preferences
We study fairness in social choice settings under single-peaked preferences.
A Fokker-Planck feedback control framework for optimal personalized therapies in colon cancer-induced angiogenesis
The dynamics of colon cancer is given by a It\'o stochastic process, which helps in modeling the randomness present in the system.
Probabilistic Fixed Ballot Rules and Hybrid Domains
We study a class of preference domains that satisfies the familiar properties of minimal richness, diversity and no-restoration.
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