Bykov, Kirill

14 publications

NeurIPS 2025 Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework Laura Kopf, Nils Feldhus, Kirill Bykov, Philine Lou Bommer, Anna Hedström, Marina MC Höhne, Oliver Eberle

TMLR 2025 Explaining Bayesian Neural Networks Kirill Bykov, Marina MC Höhne, Adelaida Creosteanu, Klaus Robert Muller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft

NeurIPS 2025 Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva, Marina MC Höhne, Alexander Warnecke, Lukas Pirch, Klaus Robert Muller, Konrad Rieck, Sebastian Lapuschkin, Kirill Bykov

NeurIPS 2024 CoSy: Evaluating Textual Explanations of Neurons Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina M.-C. Höhne, Kirill Bykov

ICMLW 2024 CoSy: Evaluating Textual Explanations of Neurons Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina MC Höhne, Kirill Bykov

ICMLW 2024 CoSy: Evaluating Textual Explanations of Neurons Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina MC Höhne, Kirill Bykov

ICMLW 2024 Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva, Marina MC Höhne, Alexander Warnecke, Lukas Pirch, Klaus Robert Muller, Konrad Rieck, Kirill Bykov

ICMLW 2024 Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva, Marina MC Höhne, Alexander Warnecke, Lukas Pirch, Klaus Robert Muller, Konrad Rieck, Kirill Bykov

TMLR 2023 DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne

ICLRW 2023 DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne

NeurIPS 2023 Labeling Neural Representations with Inverse Recognition Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina Höhne

ICLRW 2023 Mark My Words: Dangers of Watermarked Images in ImageNet Kirill Bykov, Klaus Robert Muller, Marina MC Höhne

TMLR 2023 Visualizing the Diversity of Representations Learned by Bayesian Neural Networks Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina MC Höhne

AAAI 2022 NoiseGrad - Enhancing Explanations by Introducing Stochasticity to Model Weights Kirill Bykov, Anna Hedström, Shinichi Nakajima, Marina M.-C. Höhne