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11 Publications
2026 |
Accepted |
Conference Paper |
IST-REx-ID: 21949 |
Shor, Tamir, Moti Freiman, Chaim Baskin, and Alex M. Bronstein. “T1-PILOT: Physics-Informed Learned Optimized Trajectories for T1 Mapping Acceleration.” In Medical Imaging with Deep Learning, 315:1969–82. ML Research Press, n.d.
[Published Version]
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2026 |
Published |
Conference Paper |
IST-REx-ID: 22146 |
Kalinin, Nikita, and Joel D Andersson. “Learning Rate Scheduling with Matrix Factorization for Private Training.” In 7th Symposium on Foundations of Responsible Computing, Vol. 368. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2026. https://doi.org/10.4230/LIPIcs.FORC.2026.2.
[Published Version]
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| arXiv
2026 |
Published |
Conference Paper |
IST-REx-ID: 22294 |
Hatua, Amartya, Trung Nguyen, Filip Cano Cordoba, and Andrew Sung. “Machine Unlearning Using Forgetting Neural Networks.” In Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2:1536–46. SciTePress, 2026. https://doi.org/10.5220/0014326500004052.
[Preprint]
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| arXiv
2025 |
Published |
Thesis | PhD |
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. https://doi.org/10.15479/AT-ISTA-19456.
[Published Version]
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2023 |
Published |
Conference Paper |
IST-REx-ID: 12976 |
Liao, Kang, Thibault Tricard, Michael Piovarci, Hans-Peter Seidel, and Vahid Babaei. “Learning Deposition Policies for Fused Multi-Material 3D Printing.” In 2023 IEEE International Conference on Robotics and Automation, 2023:12345–52. IEEE, 2023. https://doi.org/10.1109/ICRA48891.2023.10160465.
[Submitted Version]
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| DOI
| WoS
2022 |
Published |
Thesis | PhD |
IST-REx-ID: 10799 |
Konstantinov, Nikola H. “Robustness and Fairness in Machine Learning.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:10799.
[Published Version]
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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. ML Research Press, 2022.
[Published Version]
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| arXiv
2022 |
Published |
Thesis | PhD |
IST-REx-ID: 11362 |
Lechner, Mathias. “Learning Verifiable Representations.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11362.
[Published Version]
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2021 |
Published |
Book Chapter |
IST-REx-ID: 9756
Kaufmann, Walter, David Kleindienst, Harumi Harada, and Ryuichi Shigemoto. “High-Resolution Localization and Quantitation of Membrane Proteins by SDS-Digested Freeze-Fracture Replica Labeling (SDS-FRL).” In Receptor and Ion Channel Detection in the Brain, 169:267–83. Neuromethods. New York: Humana Press, 2021. https://doi.org/10.1007/978-1-0716-1522-5_19.
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2019 |
Submitted |
Preprint |
IST-REx-ID: 11627 |
Breton, S. N., Lisa Annabelle Bugnet, A. R. G. Santos, A. Le Saux, S. Mathur, P. L. Palle, and R. A. Garcia. “Determining Surface Rotation Periods of Solar-like Stars Observed by the Kepler Mission Using Machine Learning Techniques.” ArXiv, n.d. https://doi.org/10.48550/arXiv.1906.09609.
[Preprint]
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| arXiv
2019 |
Submitted |
Preprint |
IST-REx-ID: 11630 |
Saux, A. Le, Lisa Annabelle Bugnet, S. Mathur, S. N. Breton, and R. A. Garcia. “Automatic Classification of K2 Pulsating Stars Using Machine Learning Techniques.” ArXiv, n.d. https://doi.org/10.48550/arXiv.1906.09611.
[Preprint]
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| arXiv