Research
Edgar Torres works on adapting physics-informed neural networks to related partial differential equations and changing problem settings. His research examines transfer learning and meta-learning approaches that reuse information across physical systems, with a focus on reducing repeated training costs. His survey organizes these methods and identifies open questions for adaptive neural solvers.
Selected publications
Information reviewed 26 September 2026 · University profile