
PhD Student
MC 5.126
linara.adilova@rub.de
Personal Website
→ ELLIS PhD Student
Research Interests
- Theory and mathematics of deep learning; learning theory
- Loss surfaces geometry; flatness and generalization; linear mode connectivity
- Information theory for deep learning; information bottleneck conjecture; information plane analysis
Publications
2024
Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks Proceedings Article
In: International Conference on Learning Representations (ICLR), 2024.
@inproceedings{AdilovaPaper10_2024,
title = {Information Plane Analysis for Dropout Neural Networks},
author = {Linara Adilova and Bernhard C. Geiger and Asja Fischer},
url = {https://arxiv.org/abs/2303.00596},
year = {2024},
date = {2024-01-01},
booktitle = {International Conference on Learning Representations (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Artikel
In: arXiv preprint, 2024.
@article{AdilovaPaper15_2024,
title = {The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective},
author = {Nils Philipp Walter and Linara Adilova and Jilles Vreeken and Michael Kamp},
url = {https://arxiv.org/abs/2405.16918},
year = {2024},
date = {2024-01-01},
journal = {arXiv preprint},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann
Landscaping Linear Mode Connectivity Artikel
In: arXiv preprint, 2024.
@article{AdilovaPaper16_2024,
title = {Landscaping Linear Mode Connectivity},
author = {Sidak Pal Singh and Linara Adilova and Michael Kamp and Asja Fischer and Bernhard Schölkopf and Thomas Hofmann},
url = {https://arxiv.org/abs/2406.16300},
year = {2024},
date = {2024-01-01},
journal = {arXiv preprint},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Thomas L. Salazer, Naitik Sheth, Avais Masud, David Serur, Guillermo Hidalgo, Iram Aqeel, Linara Adilova, Michael Kamp, Tim Fitzpatrick, Sriram Krishnan, others
Artificial Intelligence (AI)-Driven Screening for Undiscovered CKD: TH-PO009 Artikel
In: Journal of the American Society of Nephrology, 2024.
@article{AdilovaPaper17_2024,
title = {Artificial Intelligence (AI)-Driven Screening for Undiscovered CKD: TH-PO009},
author = {Thomas L. Salazer and Naitik Sheth and Avais Masud and David Serur and Guillermo Hidalgo and Iram Aqeel and Linara Adilova and Michael Kamp and Tim Fitzpatrick and Sriram Krishnan and others},
url = {https://journals.lww.com/jasn/fulltext/2024/10001/artificial_intelligence__ai__driven_screening_for.335.aspx},
year = {2024},
date = {2024-01-01},
journal = {Journal of the American Society of Nephrology},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2023
Linara Adilova, Michael Kamp, Gennady Andrienko, Natalia Andrienko
Re-interpreting rules interpretability Artikel
In: International Journal of Data Science and Analytics, 2023.
@article{AdilovaPaper9_2023,
title = {Re-interpreting rules interpretability},
author = {Linara Adilova and Michael Kamp and Gennady Andrienko and Natalia Andrienko},
url = {https://link.springer.com/article/10.1007/s41060-023-00310-3},
year = {2023},
date = {2023-01-01},
journal = {International Journal of Data Science and Analytics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Linara Adilova, Konstantin Böttinger, Vasilios Danos, Sven Jacob, Fabian Langer, Thora Markert, Maximilian Poretschkin, Julia Rosenzweig, Jan-Philipp Schulze, Philip Sperl
Security of AI-Systems: Fundamentals Artikel
In: BSI, 2023.
@article{AdilovaPaper11_2023,
title = {Security of AI-Systems: Fundamentals},
author = {Linara Adilova and Konstantin Böttinger and Vasilios Danos and Sven Jacob and Fabian Langer and Thora Markert and Maximilian Poretschkin and Julia Rosenzweig and Jan-Philipp Schulze and Philip Sperl},
url = {https://www.bsi.bund.de/SharedDocs/Downloads/EN/BSI/KI/Security-of-AI-systems_fundamentals.html},
year = {2023},
date = {2023-01-01},
journal = {BSI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
FAM: Relative Flatness Aware Minimization Proceedings Article
In: ICML Workshops: Topological, Algebraic and Geometric Learning Workshops, 2023.
@inproceedings{AdilovaPaper12_2023,
title = {FAM: Relative Flatness Aware Minimization},
author = {Linara Adilova and Amr Abourayya and Jianning Li and Amin Dada and Henning Petzka and Jan Egger and Jens Kleesiek and Michael Kamp},
url = {https://arxiv.org/abs/2307.02337},
year = {2023},
date = {2023-01-01},
booktitle = {ICML Workshops: Topological, Algebraic and Geometric Learning Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi
Layer-wise Linear Mode Connectivity Proceedings Article
In: International Conference on Learning Representations (ICLR), 2023.
@inproceedings{AdilovaPaper13_2023,
title = {Layer-wise Linear Mode Connectivity},
author = {Linara Adilova and Maksym Andriushchenko and Michael Kamp and Asja Fischer and Martin Jaggi},
url = {https://arxiv.org/abs/2307.06966},
year = {2023},
date = {2023-01-01},
booktitle = {International Conference on Learning Representations (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, others
Guideline for Designing Trustworthy Artificial Intelligence Artikel
In: Fraunhofer IAIS, 2023.
@article{AdilovaPaper14_2023,
title = {Guideline for Designing Trustworthy Artificial Intelligence},
author = {Maximilian Poretschkin and Anna Schmitz and Maram Akila and Linara Adilova and Daniel Becker and Armin B. Cremers and Dirk Hecker and Sebastian Houben and Michael Mock and Julia Rosenzweig and others},
url = {https://www.iais.fraunhofer.de/en/research/artificial-intelligence/ai-assessment-catalog.html},
year = {2023},
date = {2023-01-01},
journal = {Fraunhofer IAIS},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2021
Linara Adilova, Siming Chen, Michael Kamp
Novelty Detection in Sequential Data by Informed Clustering and Modeling Artikel
In: arXiv preprint, 2021.
@article{AdilovaPaper8_2021,
title = {Novelty Detection in Sequential Data by Informed Clustering and Modeling},
author = {Linara Adilova and Siming Chen and Michael Kamp},
url = {https://arxiv.org/abs/2103.03943},
year = {2021},
date = {2021-01-01},
journal = {arXiv preprint},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer
Approaches to Uncertainty Quantification in Federated Deep Learning Proceedings Article
In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.
@inproceedings{linsner2021,
title = {Approaches to Uncertainty Quantification in Federated Deep Learning},
author = {Florian Linsner and Linara Adilova and Sina Däubener and Michael Kamp and Asja Fischer},
url = {https://link.springer.com/chapter/10.1007/978-3-030-93736-2_12},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient decentralized deep learning by dynamic model averaging Proceedings Article
In: Machine Learning and Knowledge Discovery in Databases (ECML PKDD), 2019.
@inproceedings{AdilovaPaper2_2019,
title = {Efficient decentralized deep learning by dynamic model averaging},
author = {Michael Kamp and Linara Adilova and Joachim Sicking and Fabian Hüger and Peter Schlicht and Tim Wirtz and Stefan Wrobel},
url = {https://link.springer.com/chapter/10.1007/978-3-030-10925-7_24},
year = {2019},
date = {2019-01-01},
booktitle = {Machine Learning and Knowledge Discovery in Databases (ECML PKDD)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Linara Adilova, Nathalie Paul, Peter Schlicht
Introducing noise in decentralized training of neural networks Proceedings Article
In: ECML PKDD Workshops: DMLE 2018 and IoTStream 2018, 2019.
@inproceedings{AdilovaPaper3_2019,
title = {Introducing noise in decentralized training of neural networks},
author = {Linara Adilova and Nathalie Paul and Peter Schlicht},
url = {https://link.springer.com/chapter/10.1007/978-3-030-13453-2_5},
year = {2019},
date = {2019-01-01},
booktitle = {ECML PKDD Workshops: DMLE 2018 and IoTStream 2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Siming Chen, Natalia Andrienko, Gennady Andrienko, Linara Adilova, Jeremie Barlet, Jörg Kindermann, Phong H. Nguyen, Olivier Thonnard, Cagatay Turkay
LDA ensembles for interactive exploration and categorization of behaviors Artikel
In: IEEE Transactions on Visualization and Computer Graphics, 2019.
@article{AdilovaPaper6_2019,
title = {LDA ensembles for interactive exploration and categorization of behaviors},
author = {Siming Chen and Natalia Andrienko and Gennady Andrienko and Linara Adilova and Jeremie Barlet and Jörg Kindermann and Phong H. Nguyen and Olivier Thonnard and Cagatay Turkay},
url = {https://ieeexplore.ieee.org/document/8715504},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Visualization and Computer Graphics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Linara Adilova, Julia Rosenzweig, Michael Kamp
Information-Theoretic Perspective of Federated Learning Proceedings Article
In: NeurIPS Workshops, 2019.
@inproceedings{AdilovaPaper7_2019,
title = {Information-Theoretic Perspective of Federated Learning},
author = {Linara Adilova and Julia Rosenzweig and Michael Kamp},
url = {https://arxiv.org/abs/1911.07652},
year = {2019},
date = {2019-01-01},
booktitle = {NeurIPS Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2018
Linara Adilova, Sven Giesselbach, Stefan Rüping
Making Efficient Use of a Domain Expert's Time in Relation Extraction Proceedings Article
In: ECML PKDD Workshops: DMLE, 2018.
@inproceedings{AdilovaPaper1_2018,
title = {Making Efficient Use of a Domain Expert's Time in Relation Extraction},
author = {Linara Adilova and Sven Giesselbach and Stefan Rüping},
url = {https://arxiv.org/abs/1807.04687},
year = {2018},
date = {2018-01-01},
booktitle = {ECML PKDD Workshops: DMLE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Phong H. Nguyen, Siming Chen, Natalia Andrienko, Michael Kamp, Linara Adilova, Gennady Andrienko, Olivier Thonnard, Alysson Bessani, Cagatay Turkay
Designing visualisation enhancements for SIEM systems Proceedings Article
In: IEEE Symposium on Visualization for Cyber Security (VizSec), 2018.
@inproceedings{AdilovaPaper4_2018,
title = {Designing visualisation enhancements for SIEM systems},
author = {Phong H. Nguyen and Siming Chen and Natalia Andrienko and Michael Kamp and Linara Adilova and Gennady Andrienko and Olivier Thonnard and Alysson Bessani and Cagatay Turkay},
url = {https://ieeexplore.ieee.org/document/8554257},
year = {2018},
date = {2018-01-01},
booktitle = {IEEE Symposium on Visualization for Cyber Security (VizSec)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}