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Publications

Here you will find a selection of publications authored by me, my collaborators, and students I mentored.

2024

  • "DISS: Deep inference of strong lensing systems in simulations of ground-based surveys with neural posterior estimation", J. Poh, A. Samudre, A. Ćiprijanović, J. Frieman, B. Nord, submitted to JCAP.

  • "DeepUQ: A Systematic Comparison of Aleatoric Uncertainties from Deep Learning Methods", B. Nevin, B. Nord, A. Ćiprijanović; 2024, Machine Learning and the Physical Sciences, Workshop at NeurIPS 2024, soon on arXiv and conf. website.

  • "Neural network prediction of strong lensing systems with domain adaptation and uncertainty quantification", S. Agarwal, A. Ćiprijanović, B. Nord; 2024, Machine Learning and the Physical Sciences, Workshop at NeurIPS 2024, soon on arXiv and conf. website.

2023

  • "DeepAstroUDA: Semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection", A. Ćiprijanović, A. Lewis, K. Pedro, S. Madireddy, B. Nord, G. N. Perdue, S. M. Wild; 2023, MLST, 4, 2, 025013.

  • "Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets", A. Roncoli, A. Ćiprijanović, M. Voetberg, F. Villaescusa-Navarro, B. Nord; 2023, Machine Learning and the Physical Sciences Workshop at NeurIPS 2023, arXiv:2311.01588.

  • "Domain Adaptation for Measurements of Strong Gravitational Lenses", P. Swierc, M. Zhao, A. Ćiprijanović, B. Nord; 2023, Machine Learning and the Physical Sciences Workshop at NeurIPS 2023, arXiv:2311.17238.

  • "The LSST AGN Data Challenge: Selection Methods", Đ. Savić, I. Jankov, W. Yu, V. Petrecca, M. J. Temple, Q. Ni, R. Shirley, A. B. Kovačević, M. Nikolić, D. Ilić, L. Č. Popović, M. Paolillo, S. Panda,  A. Ćiprijanović, G. T. Richards; 2023,  ApJ, 953, 2, 138.

2022

  • "DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification", A. Ćiprijanović, D. Kafkes, G. Snyder, F. J. Sanchez, G. N. Perdue, K. Pedro, B. Nord, S. Madireddy, S. M. Wild; 2022, MLST, 3, 3, 035007.

  • "DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images", D. Tanoglidis, A. Ćiprijanović, A. Drlica-Wagner, B.Nord, M.H.L.S.Wang, A. Jacob Amsellem, K. Downey, S. Jenkins, D. Kafkes, Z. Zhangd; 2022, Astron. Comput., 39, 100580.

  • "Snowmass White Paper: Machine Learning and Cosmology", C. Dvorkin, S. Mishra-Sharma, B. Nord, V. A. Villar, C. Avestruz, K. Bechtol, A. Ćiprijanović, A. J. Connolly, L. H. Garrison, G. Narayan, F. Villaescusa-Navarro; 2022, arXiv:2203.08056.

  • "Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era", The LSST Dark EnergyScience Collaboration (LSST DESC): E. Kovacs, Y.-Y. Mao, A. Bahmanyar et al.; 2022, Open Journal of Astrophysics, 5.

  • "DIGS: deep inference of galaxy spectra with neural posterior estimation" G. Khullar, B. Nord, A. Ćiprijanović, J. Poh, F. Xu; 2022, MLST, 3, 4, 04LT04.

  • "Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection" A. Ćiprijanović, A. Lewis, K. Pedro, S. Madireddy, G. N. Perdue, B. Nord, S. M. Wild; 2022, Machine Learning and the Physical Sciences, Workshop at NeurIPS 2022, arXiv:2211.00677.

  • "DIGS: Deep Inference of Galaxy Spectra with Neural Posterior Estimation", G. Koular, A. Ćiprijanović, B. Nord; 2022, Machine Learning and the Physical Sciences, Workshop at the NeurIPS 2022.

  • "Neural Inference of Gaussian Processes for Time Series Data of Quasars", E. Danilov, A. Ćiprijanović, B. Nord; 2022, Machine Learning and the Physical Sciences, Workshop at NeurIPS 2022,  arXiv:2211.10305.

  • "Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based Inference", J. Poh, A. Samudre, A. Ćiprijanović, B. Nord; 2022, Machine Learning and the Physical Sciences, Workshop at NeurIPS 2022, arXiv:2211.05836.

  • "DeepBench: A library for simulating benchmark datasets for scientific analysis", M. Voetberg, A. Lewis, B. Nord A. Ćiprijanović; 2022, Machine Learning for Astrophysics, Workshop at ICML 2022.

  • "Estimating Cosmological Constraints from Galaxy Cluster Abundance using Simulation-Based Inference", M. Reza, Y. Zhang, B. Nord, J. Poh, A. Ćiprijanović, L. Strigari, Machine Learning for Astrophysics, Workshop at ICML 2022, arXiv:2208.00134.

  • "Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks", D. Tanoglidis, A. Ćiprijanović, A. Drlica-Wagner; 2022, Machine Learning for Astrophysics, Workshop at ICML 2022,  arXiv:2207.03471.

2021

  • "DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains", A. Ćiprijanović, D. Kafkes, K. Downey, S. Jenkins, G.~N. Perdue, S. Madireddy, T. Johnston, G. F. Snyder, B. Nord; 2021, MNRAS, 605, 677-691.

  • "DeepShadows: Separating Low Surface Brightness Galaxies from Artefacts using Deep Learning", D. Tanoglidis, A. Ćiprijanović, A. Drlica-Wagner; 2021, Astron. Comput., 35, 100469.

  • "Robustness of deep learning algorithms in astronomy- galaxy morphology studies", 2021, A. Ćiprijanović, D. Kafkes, G. N. Perdue, K. Pedro, G. Snyder, F. J. Sánchez, S. Madireddy, S. M. Wild, B. Nord, Machine Learning and the Physical Sciences, Workshop at NeurIPS 2021, arXiv:2111.00961.

  • "Detecting Low Surface Brightness Galaxies with Mask R-CNN", 2021, C. Levy, A. Ćiprijanović, A. Drlica-Wagner, B. Mutlu-Pakdil, B. Nord, D. Tanoglidis, Machine Learning and the Physical Sciences, Workshop NeurIPS 2021.

  • "Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts in astronomical images", 2021, D. Tanoglidis, A. Ćiprijanović, A. Drlica-Wagner, B. Nord, M. H. L. S. Wang, A. J. Amsellem, K. Downey, S. Jenkins, D. Kafkes, Z. Zhang, Machine Learning and the Physical Sciences, Workshop at NeurIPS 2021.

2020

  • "Domain adaptation techniques for improved cross-domain study of galaxy mergers", A. Ćiprijanović, D. Kafkes, S. Jenkins, K. Downey, G. N. Perdue, S. Madireddy, T. Johnston, B. Nord; 2020, Machine Learning and the Physical Sciences, Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), arXiv:2011.03591.

  • "Deep Merge: Classifying Merging Galaxies with Deep Neural Networks", A. Ćiprijanović, G. F. Snyder, B. Nord, J. E. G. Peek; 2020, Astron. Comput., 32, 100390.

  • "Domain adaptation techniques for improved cross-domain study of galaxy mergers", A. Ćiprijanović, D. Kafkes, S. Jenkins, K. Downey, G. N. Perdue, S. Madireddy, T. Johnston, B. Nord; 2020, Machine Learning and the Physical Sciences, Workshop at NeurIPS 2020, arXiv:2011.03591.

< 2020

  • "Updated Radio Σ − D Relation for Galactic Supernova Remnants – II", B. Vukotić, A. Ćiprijanović, M. M. Vučetić, D. Onić, D. Urošević, 2019, SAJ, 199, 23.

  • "Optical Observations of the Nearby Galaxy NGC2366 Through Narrow Band Hα and [SII] Filters. Supernova Remnants Status", M. M. Vučetić, D. Onić, N. Petrov, A. Ćiprijanović, M. Z. Pavlović, 2019, SAJ, 198, 1.

  • "Contribution of Galaxies and Galaxy Clusters to the Diffuse Gamma–Ray Background (Dissertation Summary)", A. Ćiprijanović, 2017, Publ. Astron. Soc. Pac., 129, 047002.

  • "Galactic Cosmic-Ray Induced Production of Lithium in the Small Magellanic Cloud", A. Ćiprijanović, 2016, Astropart. Phys., 85, 24.

  • "Optical Observations of the Nearby Galaxy IC342 with Narrow Band [SII] and Hα Filters. II – The Detection of 16 Optically–Identified Supernova Remnant Candidates", M. M. Vučetić, A. Ćiprijanović, M. Z. Pavlović, T. G. Pannuti, N. Petrov, U. D. Göker, E. N. Ercan, 2015, SAJ, 191, 67.

  • "Neutrino Constrains to the Diffuse Gamma–Ray Emission from Accretion Shocks", A. Dobardžić, T. Prodanović, 2015, ApJ., 806, 184.

  • "Updated Radio Σ − D Relation For Galactic Supernova Remnants", M. Z. Pavlović, A. Dobardžić, B. Vukotić, D. Urošević, 2014, SAJ, 189, 24.

  • "Diffuse Pionic Gamma–Ray Emission from Large Scale Structures in the Fermi Era", A. Dobardžić, T. Prodanović, 2014, ApJ., 782, 109 [Erratum: 2014, Astrophys. J., 787, 95].

  • "Optical Observations of the Nearby Galaxy IC342 With Narrow Band [SII] and Hα Filters. I", M. M. Vučetić, B. Arbutina, D. Urošević, A. Dobardžić, M. Z. Pavlović, T. G. Pannuti, N. Petrov, 2013, SAJ, 187, 11.

  • "Relativistic Non–Thermal Bremsstrahlung Radiation", V. Zeković, B. Arbutina, A. Dobardžić, M. Z. Pavlović, 2013, Int. J. Mod. Phys. A, 28, 1350141.

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