Wild, Stefan M.

Exploiting Symmetry Reduces the Cost of Training QAOA

Shaydulin, R., & Wild, S. M. (2021) · IEEE Transactions on Quantum Engineering

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 39

DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection

Ćiprijanović, A., Lewis, A., Pedro, K., Madireddy, S., Nord, B., Perdue, G. N., & Wild, S. M. (2023) · arXiv

Domain Adaptation and Few-Shot LearningGalaxies: Formation, Evolution, Phenomena

Cited by 2