Gabriela Kadlecová
Scholar

Gabriela Kadlecová

Google Scholar ID: KGwHzzMAAAAJ
PhD student at Charles University and The Czech Academy of Sciences, Institute of Computer Science
Machine LearningDeep LearningAutoMLNeural Architecture SearchRepresentation Learning
Citations & Impact
All-time
Citations
36
 
H-index
4
 
i10-index
0
 
Publications
14
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Paper on GRAF accepted to ICML 2024; Delivered a presentation at the AutoML Conference.
Research Experience
  • Internship at Amazon Alexa in Turin; Presented a tutorial on zero-cost proxies with Jovita Lukasik at the AutoML Conference; Conducted a hands-on session at the AutoML Fall School 2023; Served as the online experience chair at the AutoML Conference.
Education
  • PhD student at Charles University in Prague, advisor information not provided.
Background
  • A 4th year PhD student at Charles University in Prague. Research interests include neural architecture search, specifically performance prediction, zero-cost proxies, and graph neural networks used as surrogate models. Worked on the open-source library whittle for LLM compression.
Miscellany
  • Website powered by Jekyll and al-folio theme, hosted on GitHub Pages. Photo by Michal Pospěch.