Domain Adaptation for Simulation-Based Dark Matter Searches with Strong Gravitational Lensing
Published in NeurIPS: Machine Learning and the Physical Sciences Research Workshop, 2022
Paper detailing the continuation of my Google Summer of Code 2021 project now using more complex data sources and comparing Unsupervised Domain Adaptation between an EfficientNet and an Equivariant Neural Network architecture.
Recommended citation: Domain Adaptation for Simulation-Based Dark Matter Searches with Strong Gravitational Lensing. Stephon Alexander and Michael W. Toomey, Sergei Gleyzer, Pranath Reddy, Marcos Tidball. Neural Information Processing Systems (NeurIPS) Conference: Machine Learning and the Physical Sciences Research Workshop, 2022 https://ml4physicalsciences.github.io/2022/files/NeurIPS_ML4PS_2022_58.pdf