Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
9 Publications
2025 | Published | Thesis | IST-REx-ID: 19759 |

Prach B. 2025. Robust image classification with 1-Lipschitz networks. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2023 | Published | Thesis | IST-REx-ID: 13074 |

Krumes A. 2023. Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2022 | Published | Thesis | IST-REx-ID: 10799 |

Konstantinov NH. 2022. Robustness and fairness in machine learning. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2021 | Published | Thesis | IST-REx-ID: 9418 |

Phuong M. 2021. Underspecification in deep learning. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2020 | Published | Thesis | IST-REx-ID: 8390 |

Royer A. 2020. Leveraging structure in Computer Vision tasks for flexible Deep Learning models. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2018 | Published | Thesis | IST-REx-ID: 197 |

Kolesnikov A. 2018. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2018 | Published | Thesis | IST-REx-ID: 68 |

Zimin A. 2018. Learning from dependent data. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2016 | Published | Thesis | IST-REx-ID: 1126 |

Pentina A. 2016. Theoretical foundations of multi-task lifelong learning. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2015 | Published | Thesis | IST-REx-ID: 1401 |

Sharmanska V. 2015. Learning with attributes for object recognition: Parametric and non-parametrics views. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)