Valentyn Boreiko

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Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Maximilian AugustinPhD Student, University of TuebingenVerified email at uni-tuebingen.de
Francesco CroceEPFLVerified email at cs.uni-saarland.de
Philipp BerensHertie Institute for AI in Brain Health, University of TübingenVerified email at uni-tuebingen.de
Jan Hendrik MetzenBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Yannic NeuhausPhD Student, University of TübingenVerified email at uni-tuebingen.de
Lisa Margret KochUniversity of Bern and University of TübingenVerified email at unibe.ch
Indu IlanchezianDoctoral Student, University of TübingenVerified email at uni-tuebingen.de
Murat Seçkin AyhanUniversity College London and Moorfields Eye HospitalVerified email at ucl.ac.uk
Robin HutmacherBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Sarah MüllerUniversity of TübingenVerified email at uni-tuebingen.de

Valentyn Boreiko

University of Tübingen

Verified email at uni-tuebingen.de - Homepage

machine learning computer vision adversarial robustness generative models explainability


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Diffusion visual counterfactual explanations M Augustin, V Boreiko, F Croce, M Hein Advances in Neural Information Processing Systems 35, 364-377, 2022	46	2022
Sparse visual counterfactual explanations in image space V Boreiko, M Augustin, F Croce, P Berens, M Hein DAGM German Conference on Pattern Recognition, 133-148, 2022	24	2022
Spurious features everywhere-large-scale detection of harmful spurious features in imagenet Y Neuhaus, M Augustin, V Boreiko, M Hein Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	15	2023
Visual explanations for the detection of diabetic retinopathy from retinal fundus images V Boreiko, I Ilanchezian, MS Ayhan, S Müller, LM Koch, H Faber, ... International conference on medical image computing and computer-assisted …, 2022	10	2022
Identification of systematic errors of image classifiers on rare subgroups JH Metzen, R Hutmacher, NG Hua, V Boreiko, D Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	9	2023
Classifiers should do well even on their worst classes J Bitterwolf, A Meinke, V Boreiko, M Hein ICML 2022 Shift Happens Workshop, 2022	3	2022
Identifying Systematic Errors in Object Detectors with the SCROD Pipeline V Boreiko, M Hein, JH Metzen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	1	2023
Identification of Fine-grained Systematic Errors via Controlled Scene Generation V Boreiko, M Hein, JH Metzen arXiv preprint arXiv:2404.07045, 2024		2024
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models I Ilanchezian, V Boreiko, L Kühlewein, Z Huang, MS Ayhan, M Hein, ... arXiv preprint arXiv:2311.11629, 2023		2023
Spurious Features Everywhere-Large-Scale Detection of Harmful Spurious Features in ImageNet M Hein, V Boreiko, M Augustin, Y Neuhaus arXiv, 2023		2023
Identification of Systematic Errors of Image Classifiers on Rare Subgroups J Hendrik Metzen, R Hutmacher, NG Hua, V Boreiko, D Zhang arXiv e-prints, arXiv: 2303.05072, 2023		2023

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