Aleksandra Ciprijanovic

Orcid: 0000-0003-1281-7192

According to our database1, Aleksandra Ciprijanovic authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis.
CoRR, 2024

2023
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection.
Mach. Learn. Sci. Technol., June, 2023

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets.
CoRR, 2023

2022
DIGS: deep inference of galaxy spectra with neural posterior estimation.
Mach. Learn. Sci. Technol., December, 2022

DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification.
Mach. Learn. Sci. Technol., 2022

Neural Inference of Gaussian Processes for Time Series Data of Quasars.
CoRR, 2022

Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection.
CoRR, 2022

Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks.
CoRR, 2022

Machine Learning and Cosmology.
CoRR, 2022

DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images.
Astron. Comput., 2022

2021
Robustness of deep learning algorithms in astronomy - galaxy morphology studies.
CoRR, 2021

DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains.
CoRR, 2021

DeepShadows: Separating low surface brightness galaxies from artifacts using deep learning.
Astron. Comput., 2021

2020
Domain adaptation techniques for improved cross-domain study of galaxy mergers.
CoRR, 2020

DeepMerge: Classifying high-redshift merging galaxies with deep neural networks.
Astron. Comput., 2020


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