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11 Publications


2026 | Accepted | Conference Paper | IST-REx-ID: 21949 | OA
Shor, Tamir, et al. “T1-PILOT: Physics-Informed Learned Optimized Trajectories for T1 Mapping Acceleration.” Medical Imaging with Deep Learning, vol. 315, ML Research Press, pp. 1969–82.
[Published Version] View | Files available | Download Published Version (ext.)
 

2026 | Published | Conference Paper | IST-REx-ID: 22146 | OA
Kalinin, Nikita, and Joel D. Andersson. “Learning Rate Scheduling with Matrix Factorization for Private Training.” 7th Symposium on Foundations of Responsible Computing, vol. 368, 2:1-2:21, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2026, doi:10.4230/LIPIcs.FORC.2026.2.
[Published Version] View | Files available | DOI | arXiv
 

2026 | Published | Conference Paper | IST-REx-ID: 22294 | OA
Hatua, Amartya, et al. “Machine Unlearning Using Forgetting Neural Networks.” Proceedings of the 18th International Conference on Agents and Artificial Intelligence, vol. 2, SciTePress, 2026, pp. 1536–46, doi:10.5220/0014326500004052.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2025 | Published | Thesis | PhD | IST-REx-ID: 19456 | OA
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] View | Files available | DOI
 

2023 | Published | Conference Paper | IST-REx-ID: 12976 | OA
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] View | Files available | DOI | WoS
 

2022 | Published | Thesis | PhD | IST-REx-ID: 10799 | OA
Konstantinov, Nikola H. Robustness and Fairness in Machine Learning. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:10799.
[Published Version] View | Files available | DOI
 

2022 | Published | Journal Article | IST-REx-ID: 10802 | OA
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] View | Files available | arXiv
 

2022 | Published | Thesis | PhD | IST-REx-ID: 11362 | OA
Lechner, Mathias. Learning Verifiable Representations. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11362.
[Published Version] View | Files available | DOI
 

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 Press, 2021, pp. 267–83, doi:10.1007/978-1-0716-1522-5_19.
View | Files available | DOI
 

2019 | Submitted | Preprint | IST-REx-ID: 11627 | OA
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] View | DOI | Download Preprint (ext.) | arXiv
 

2019 | Submitted | Preprint | IST-REx-ID: 11630 | OA
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] View | DOI | Download Preprint (ext.) | arXiv
 

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