Aleksandra Ciprijanovic

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 18

Top Topics

Anomaly Detection

Learning Algorithm

Dempster Shafer

Top Venues

Astron. Comput.

Mach. Learn. Sci. Technol.

Publications

Andrea Roncoli, Aleksandra Ciprijanovic, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets. CoRR (2023)
Aleksandra Ciprijanovic, A. Lewis, K. Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR (2023)
Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. Mach. Learn. Sci. Technol. 4 (2) (2023)
Gourav Khullar, Brian Nord, Aleksandra Ciprijanovic, Jason Poh, Fei Xu
DIGS: deep inference of galaxy spectra with neural posterior estimation. Mach. Learn. Sci. Technol. 3 (4) (2022)
Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner
Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks. CoRR (2022)
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
Machine Learning and Cosmology. CoRR (2022)
Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. Mach. Learn. Sci. Technol. 3 (3) (2022)
Egor Danilov, Aleksandra Ciprijanovic, Brian Nord
Neural Inference of Gaussian Processes for Time Series Data of Quasars. CoRR (2022)
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
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images. Astron. Comput. 39 (2022)
Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR (2022)
Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner
DeepShadows: Separating low surface brightness galaxies from artifacts using deep learning. Astron. Comput. 35 (2021)
Aleksandra Ciprijanovic, Diana Kafkes, K. Downey, S. Jenkins, Gabriel N. Perdue, Sandeep Madireddy, T. Johnston, Gregory F. Snyder, Brian Nord
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains. CoRR (2021)
Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification. CoRR (2021)
Aleksandra Ciprijanovic, Diana Kafkes, Gabriel N. Perdue, Kevin Pedro, Gregory F. Snyder, F. Javier Sánchez, Sandeep Madireddy, Stefan M. Wild, Brian Nord
Robustness of deep learning algorithms in astronomy - galaxy morphology studies. CoRR (2021)
Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek
DeepMerge: Classifying high-redshift merging galaxies with deep neural networks. Astron. Comput. 32 (2020)
Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek
DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks. CoRR (2020)
Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning. CoRR (2020)
Aleksandra Ciprijanovic, Diana Kafkes, S. Jenkins, K. Downey, Gabriel N. Perdue, Sandeep Madireddy, T. Johnston, Brian Nord
Domain adaptation techniques for improved cross-domain study of galaxy mergers. CoRR (2020)