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cs.LG2025★ 1 cited
Exploring Efficient Quantification of Modeling Uncertainties with Differentiable Physics-Informed Machine Learning Architectures
Manaswin Oddiraju, Bharath Varma Penumatsa, Divyang Amin +2
Quantifying and propagating modeling uncertainties is crucial for reliability analysis, robust optimization, and other model-based algorithmic processes in engineering design and c…
cs.LG2024
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
Manaswin Oddiraju, Zaki Hasnain, Saptarshi Bandyopadhyay +2
Modeling thermal states for complex space missions, such as the surface exploration of airless bodies, requires high computation, whether used in ground-based analysis for spacecra…