Adilova, Linara

8 publications

NeurIPS 2025 Flatness Is Necessary, Neural Collapse Is Not: Rethinking Generalization via Grokking Ting Han, Linara Adilova, Henning Petzka, Jens Kleesiek, Michael Kamp

ICMLW 2024 Landscaping Linear Mode Connectivity Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann

ICLR 2024 Layer-Wise Linear Mode Connectivity Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi

ICMLW 2023 FAM: Relative Flatness Aware Minimization Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp

ICLR 2023 Information Plane Analysis for Dropout Neural Networks Linara Adilova, Bernhard C Geiger, Asja Fischer

CVPRW 2021 Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz

NeurIPS 2021 Relative Flatness and Generalization Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley

ECML-PKDD 2018 Efficient Decentralized Deep Learning by Dynamic Model Averaging Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel