Brandon Panos

most citedEnhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.SR2025

Policy-Based Radiative Transfer: Solving the $2$ -Level Atom Non-LTE Problem using Soft Actor-Critic Reinforcement Learning

Brandon Panos, Ivan Milic

We present a novel reinforcement learning (RL) approach for solving the classical 2-level atom non-LTE radiative transfer problem by framing it as a control task in which an RL age…

astro-ph.SR2025★ 2 cited

Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach

Francesco Pio Ramunno, Paolo Massa, Vitaliy Kinakh +3

The spatial properties of the solar magnetic field are crucial to decoding the physical processes in the solar interior and their interplanetary effects. However, observations from…

Policy-Based Radiative Transfer: Solving the 2-Level Atom Non-LTE Problem using Soft Actor-Critic Reinforcement Learning

Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach

Policy-Based Radiative Transfer: Solving the $2$ -Level Atom Non-LTE Problem using Soft Actor-Critic Reinforcement Learning