3 papers
cs.LG2025
Learning to Solve Optimization Problems Constrained with Partial Differential Equations
Yusuf Guven, Vincenzo Di Vito, Ferdinando Fioretto
Partial differential equation (PDE)-constrained optimization arises in many scientific and engineering domains, such as energy systems, fluid dynamics and material design. In these…
cs.LG2025
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration Strategy
Yusuf Guven, Tufan Kumbasar
Uncertainty Quantification (UQ) is crucial for deploying reliable Deep Learning (DL) models in high-stakes applications. Recently, General Type-2 Fuzzy Logic Systems (GT2-FLSs) hav…
cs.LG2024
Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
Ata Koklu, Yusuf Guven, Tufan Kumbasar
Type-1 and Interval Type-2 (IT2) Fuzzy Logic Systems (FLS) excel in handling uncertainty alongside their parsimonious rule-based structure. Yet, in learning large-scale data challe…