DeepMerge: Classifying high-redshift merging galaxies with deep neural networks. - Aleksandra Ciprijanovic; Gregory F. Snyder; Brian Nord; Joshua E. G. Peek (Astron. Comput., 2020)

Domain adaptation techniques for improved cross-domain study of galaxy mergers. - Aleksandra Ciprijanovic; Diana Kafkes; S. Jenkins; K. Downey; Gabriel N. Perdue; Sandeep Madireddy; T. Johnston; Brian Nord (CoRR, 2020)

DeepShadows: Separating low surface brightness galaxies from artifacts using deep learning. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner (Astron. Comput., 2021)

DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains. - Aleksandra Ciprijanovic; Diana Kafkes; K. Downey; S. Jenkins; Gabriel N. Perdue; Sandeep Madireddy; T. Johnston; Gregory F. Snyder; Brian Nord (CoRR, 2021)

Robustness of deep learning algorithms in astronomy - galaxy morphology studies. - Aleksandra Ciprijanovic; Diana Kafkes; Gabriel N. Perdue; Kevin Pedro; Gregory F. Snyder; F. Javier Sánchez; Sandeep Madireddy; Stefan M. Wild; Brian Nord (CoRR, 2021)

DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner; Brian Nord; Michael H. L. S. Wang; A. Jacob Amsellem; K. Downey; S. Jenkins; Diana Kafkes; Z. Zhang (Astron. Comput., 2022)

Machine Learning and Cosmology. - Cora Dvorkin; Siddharth Mishra-Sharma; Brian Nord; V. Ashley Villar; Camille Avestruz; Keith Bechtol; Aleksandra Ciprijanovic; Andrew J. Connolly; Lehman H. Garrison; Gautham Narayan; Francisco Villaescusa-Navarro (CoRR, 2022)

Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner (CoRR, 2022)

Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. - Aleksandra Ciprijanovic; Ashia Lewis; Kevin Pedro; Sandeep Madireddy; Brian Nord; Gabriel N. Perdue; Stefan M. Wild (CoRR, 2022)

Neural Inference of Gaussian Processes for Time Series Data of Quasars. - Egor Danilov; Aleksandra Ciprijanovic; Brian Nord (CoRR, 2022)

DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. - Aleksandra Ciprijanovic; Diana Kafkes; Gregory F. Snyder; F. Javier Sánchez; Gabriel Nathan Perdue; Kevin Pedro; Brian Nord; Sandeep Madireddy; Stefan M. Wild (Mach. Learn. Sci. Technol., 2022)

DIGS: deep inference of galaxy spectra with neural posterior estimation. - Gourav Khullar; Brian Nord; Aleksandra Ciprijanovic; Jason Poh; Fei Xu (Mach. Learn. Sci. Technol., 2022)

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets. - Andrea Roncoli; Aleksandra Ciprijanovic; Maggie Voetberg; Francisco Villaescusa-Navarro; Brian Nord (CoRR, 2023)

DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. - Aleksandra Ciprijanovic; Ashia Lewis; Kevin Pedro; Sandeep Madireddy; Brian Nord; Gabriel N. Perdue; Stefan M. Wild (Mach. Learn. Sci. Technol., 2023)

Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis. - Paxson Swierc; Marcos Tamargo-Arizmendi; Aleksandra Ciprijanovic; Brian Nord (CoRR, 2024)

Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification. - Shrihan Agarwal; Aleksandra Ciprijanovic; Brian Nord (CoRR, 2024)

DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods. - Rebecca Nevin; Aleksandra Ciprijanovic; Brian Nord (CoRR, 2024)

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks. - Sneh Pandya; Purvik Patel; Brian Nord; Mike Walmsley; Aleksandra Ciprijanovic (CoRR, 2025)