Scholar
Amin Parchami-Araghi
Google Scholar ID: Z9sSK2EAAAAJ
PhD Student at Max Planck Institute for Informatics | MSc Visual Computing @ Saarland University
Citations & Impact
Citations
37
H-index
2
i10-index
2
Publications
3
Co-authors
0
Publications
Resume
Academic Achievements
- Published a conference paper titled 'FaCT: Faithful Concept Traces for Explaining Neural Network Decisions' at NeurIPS 2025.
Research Experience
- Currently a PhD student at D2, working on research about explaining the decisions of deep networks. Previously, worked as a Research Assistant (Hiwi) on projects that explored using explanation methods to guide model training.
Education
- Master's degree in Visual Computing from Saarland University, supervised by Dr. Moritz Böhle and Sukrut Rao.
Background
- Research interests: Explaining how deep networks function and finding explicit design choices to make them more interpretable. Field of expertise: Computer Vision and Machine Learning.
Miscellany
- For further information, kindly refer to his Personal Webpage, Google Scholar, and LinkedIn.