Linara Adilova

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Interactive Exploration

Misuse Detection

Semantic Segmentation

Top Venues

IEEE Computer Graphics and Applications

Publications

Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann
Landscaping Linear Mode Connectivity. CoRR (2024)
Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi
Layer-wise linear mode connectivity. ICLR (2024)
Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective. CoRR (2024)
Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks. CoRR (2023)
Linara Adilova, Asja Fischer, Martin Jaggi
Layerwise Linear Mode Connectivity. CoRR (2023)
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
FAM: Relative Flatness Aware Minimization. CoRR (2023)
Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks. ICLR (2023)
Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. CoRR (2023)
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
FAM: Relative Flatness Aware Minimization. TAG-ML (2023)
Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Stefan Wrobel, Theresa-Marie Rhyne
Visual Analytics for Human-Centered Machine Learning. IEEE Computer Graphics and Applications 42 (1) (2022)
Linara Adilova, Siming Chen, Michael Kamp
Novelty Detection in Sequential Data by Informed Clustering and Modeling. CoRR (2021)
Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CVPR Workshops (2021)
Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer
Approaches to Uncertainty Quantification in Federated Deep Learning. PKDD/ECML Workshops (1) (2021)
Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CoRR (2021)
Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley
Relative Flatness and Generalization. NeurIPS (2021)
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops (2020)
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR (2020)
Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu
Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks. CoRR (2020)
Siming Chen, Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Jérémie Barlet, Jörg Kindermann, Phong H. Nguyen, Olivier Thonnard, Cagatay Turkay
LDA Ensembles for Interactive Exploration and Categorization of Behaviors. IEEE Trans. Vis. Comput. Graph. 26 (9) (2020)
Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp
System Misuse Detection Via Informed Behavior Clustering and Modeling. DSN Workshops (2019)
Linara Adilova, Julia Rosenzweig, Michael Kamp
Information-Theoretic Perspective of Federated Learning. CoRR (2019)
Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp
System Misuse Detection via Informed Behavior Clustering and Modeling. CoRR (2019)
Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. CoRR (2019)
Linara Adilova, Nathalie Paul, Peter Schlicht
Introducing Noise in Decentralized Training of Neural Networks. CoRR (2018)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient Decentralized Deep Learning by Dynamic Model Averaging. CoRR (2018)
Linara Adilova, Nathalie Paul, Peter Schlicht
Introducing Noise in Decentralized Training of Neural Networks. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient Decentralized Deep Learning by Dynamic Model Averaging. ECML/PKDD (1) (2018)
Linara Adilova, Sven Giesselbach, Stefan Rüping
Making Efficient Use of a Domain Expert's Time in Relation Extraction. CoRR (2018)