Linara Adilova, M.Sc.

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.

Links

Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp

The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Artikel

In: arXiv preprint, 2024.

Links

Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann

Landscaping Linear Mode Connectivity Artikel

In: arXiv preprint, 2024.

Links

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.

Links

2023

Linara Adilova, Michael Kamp, Gennady Andrienko, Natalia Andrienko

Re-interpreting rules interpretability Artikel

In: International Journal of Data Science and Analytics, 2023.

Links

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.

Links

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.

Links

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.

Links

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.

Links

2021

Linara Adilova, Siming Chen, Michael Kamp

Novelty Detection in Sequential Data by Informed Clustering and Modeling Artikel

In: arXiv preprint, 2021.

Links

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.

Links

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.

Links

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.

Links

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.

Links

Linara Adilova, Julia Rosenzweig, Michael Kamp

Information-Theoretic Perspective of Federated Learning Proceedings Article

In: NeurIPS Workshops, 2019.

Links

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.

Links

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.

Links