Kirill Bykov
- NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights
2021/06/18 by Kirill Bykov, Bykov, Kirill, Anna Karin Hedström +5 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
2025/06/18 by Laura Kopf, Nils Feldhus, Kopf, Laura +12 · 5 voices · 4 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Multimodal Machine Learning Applications
- How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks
2020/06/16 by Kirill Bykov, Bykov, Kirill, Marina Höhne +7 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- CoSy: Evaluating Textual Explanations of Neurons
2024/05/30 by Laura Kopf, Philine Lou Bommer, Kopf, Laura +9 · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI)
- Mark My Words: Dangers of Watermarked Images in ImageNet
2023/03/09 by Kirill Bykov, Klaus‐Robert Müller, Bykov, Kirill +4 · 1 voice
Computer Science · #Advanced Steganography and Watermarking Techniques #Digital Media Forensic Detection #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.CR #cs.CV #cs.LG