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Linara Adilova
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2020 – today
- 2024
- [c10]Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer
, Martin Jaggi:
Layer-wise linear mode connectivity. ICLR 2024 - [i16]Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp:
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective. CoRR abs/2405.16918 (2024) - [i15]Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann:
Landscaping Linear Mode Connectivity. CoRR abs/2406.16300 (2024) - 2023
- [c9]Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks. ICLR 2023 - [c8]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. TAG-ML 2023: 37-49 - [i14]Linara Adilova, Bernhard C. Geiger, Asja Fischer:
Information Plane Analysis for Dropout Neural Networks. CoRR abs/2303.00596 (2023) - [i13]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. CoRR abs/2307.02337 (2023) - [i12]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 abs/2307.03681 (2023) - [i11]Linara Adilova, Asja Fischer, Martin Jaggi:
Layerwise Linear Mode Connectivity. CoRR abs/2307.06966 (2023) - 2022
- [j2]Natalia V. Andrienko
Visual Analytics for Human-Centered Machine Learning. IEEE Computer Graphics and Applications 42(1): 123-133 (2022) - 2021
- [c7]Linara Adilova, Elena Schulz
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CVPR Workshops 2021: 85-92 - [c6]Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley:
Relative Flatness and Generalization. NeurIPS 2021: 18420-18432 - [c5]Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer:
Approaches to Uncertainty Quantification in Federated Deep Learning. PKDD/ECML Workshops (1) 2021: 128-145 - [e3]Michael Kamp
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e2]Michael Kamp
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i10]Linara Adilova, Siming Chen, Michael Kamp:
Novelty Detection in Sequential Data by Informed Clustering and Modeling. CoRR abs/2103.03943 (2021) - [i9]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 abs/2104.09254 (2021) - 2020
- [j1]Siming Chen
LDA Ensembles for Interactive Exploration and Categorization of Behaviors. IEEE Trans. Vis. Comput. Graph. 26(9): 2775-2792 (2020) - [c4]Lukas Heppe
Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops 2020: 129-144 - [e1]Irena Koprinska
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents] - [i8]Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks. CoRR abs/2001.00939 (2020) - [i7]Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR abs/2009.12098 (2020)
2010 – 2019
- 2019
- [c3]Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp:
System Misuse Detection Via Informed Behavior Clustering and Modeling. DSN Workshops 2019: 15-23 - [i6]Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp:
System Misuse Detection via Informed Behavior Clustering and Modeling. CoRR abs/1907.00874 (2019) - [i5]Linara Adilova, Julia Rosenzweig, Michael Kamp:
Information-Theoretic Perspective of Federated Learning. CoRR abs/1911.07652 (2019) - [i4]Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. CoRR abs/1912.00058 (2019) - 2018
- [c2]Linara Adilova, Nathalie Paul, Peter Schlicht:
Introducing Noise in Decentralized Training of Neural Networks. DMLE/IOTSTREAMING@PKDD/ECML 2018: 37-48 - [c1]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: 393-409 - [i3]Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel:
Efficient Decentralized Deep Learning by Dynamic Model Averaging. CoRR abs/1807.03210 (2018) - [i2]Linara Adilova, Sven Giesselbach, Stefan Rüping:
Making Efficient Use of a Domain Expert's Time in Relation Extraction. CoRR abs/1807.04687 (2018) - [i1]Linara Adilova, Nathalie Paul, Peter Schlicht:
Introducing Noise in Decentralized Training of Neural Networks. CoRR abs/1809.10678 (2018)
Coauthor Index
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