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8 Publications
2025 | Published | Thesis | IST-REx-ID: 19456
Cumpelik, Andrea D. The Role of Prefrontal Spatial Coding in Supporting a Contextual Association Task. Institute of Science and Technology Austria, 2025, doi:10.15479/AT-ISTA-19456.
[Published Version]
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2023 | Published | Conference Paper | IST-REx-ID: 12976 |

Liao, Kang, et al. “Learning Deposition Policies for Fused Multi-Material 3D Printing.” 2023 IEEE International Conference on Robotics and Automation, vol. 2023, IEEE, 2023, pp. 12345–52, doi:10.1109/ICRA48891.2023.10160465.
[Submitted Version]
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| WoS
2022 | Published | Journal Article | IST-REx-ID: 10802 |

Konstantinov, Nikola H., and Christoph Lampert. “Fairness-Aware PAC Learning from Corrupted Data.” Journal of Machine Learning Research, vol. 23, ML Research Press, 2022, pp. 1–60.
[Published Version]
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| arXiv
2022 | Published | Thesis | IST-REx-ID: 10799 |

Konstantinov, Nikola H. Robustness and Fairness in Machine Learning. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:10799.
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2022 | Published | Thesis | IST-REx-ID: 11362 |

Lechner, Mathias. Learning Verifiable Representations. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11362.
[Published Version]
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2021 | Published | Book Chapter | IST-REx-ID: 9756
Kaufmann, Walter, et al. “High-Resolution Localization and Quantitation of Membrane Proteins by SDS-Digested Freeze-Fracture Replica Labeling (SDS-FRL).” Receptor and Ion Channel Detection in the Brain, vol. 169, Humana, 2021, pp. 267–83, doi:10.1007/978-1-0716-1522-5_19.
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2019 | Submitted | Preprint | IST-REx-ID: 11627 |

Breton, S. N., et al. “Determining Surface Rotation Periods of Solar-like Stars Observed by the Kepler Mission Using Machine Learning Techniques.” ArXiv, 1906.09609, doi:10.48550/arXiv.1906.09609.
[Preprint]
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| arXiv
2019 | Submitted | Preprint | IST-REx-ID: 11630 |

Saux, A. Le, et al. “Automatic Classification of K2 Pulsating Stars Using Machine Learning Techniques.” ArXiv, 1906.09611, doi:10.48550/arXiv.1906.09611.
[Preprint]
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| arXiv