Kirill Bykov
Scholar

Kirill Bykov

Google Scholar ID: tI39EK8AAAAJ
TU Munich
Machine LearningExplainable AIInterpretable MLMechanistic Interpretability
Citations & Impact
All-time
Citations
221
 
H-index
6
 
i10-index
5
 
Publications
11
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Publications: Multiple papers published in conferences such as NeurIPS, ICML, etc.
  • - Awards: Dilyara Bareeva awarded the Rolf Niedermeier Prize 2024 for her outstanding thesis, which he supervised
  • - Projects: Involved in various research projects, including 'CoSy: Evaluating Textual Explanations of Neurons' and 'Manipulating Feature Visualizations with Gradient Slingshots'
Research Experience
  • - Current Position: Postdoctoral Machine Learning Researcher at TUM's Explainable Machine Learning group
  • - Supervisor: Prof. Zeynep Akata
  • - Previous Position: Ph.D. student at TU Berlin
Education
  • - Ph.D. in Computer Science (summa cum laude), TU Berlin, Supervisors: Prof. Marina Höhne and Prof. Klaus-Robert Müller, Thesis: 'Explaining representations in Deep Neural Networks'
  • - M.Sc. in Data Science and Engineering (cum laude), TU Berlin and TU Eindhoven
  • - B.Sc. in Applied Mathematics and Computer Science, Saint Petersburg State University
Background
  • - Research Interests: Explainable AI, Mechanistic Interpretability
  • - Professional Field: Computer Vision and Natural Language Processing
  • - Brief Introduction: Postdoctoral researcher at TUM and Helmholtz Munich, focusing on developing principled methods to better understand and improve deep neural networks.
Miscellany
  • - Personal Interests: Sailing
  • - Other: Active in the academic community, frequently invited to give talks, and serves as a reviewer for multiple conferences and journals
Co-authors
0 total
Co-authors: 0 (list not available)