Ayhan Suleymanzade
Scholar

Ayhan Suleymanzade

Google Scholar ID: O-q4mhgAAAAJ
KAIST
Machine LearningDeep LearningReinforcement Learning
Citations & Impact
All-time
Citations
25
 
H-index
3
 
i10-index
1
 
Publications
3
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Publications:
  • - "Diffusion Models Through a Global Lens: Are They Culturally Inclusive?" accepted to ACL 2025 Main Conference
  • - "Revisiting Random Walks for Learning on Graphs" accepted to ICLR 2025 as Spotlight Presentation
  • - "Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance" accepted to NeurIPS 2023 as Spotlight Presentation
  • - Awards:
  • - Dean's List for Fall 2024 semester
  • - Dean's List for Spring 2024 semester
  • - KAIST Alumni Fellowship (awarded to only 7 undergraduate students)
Research Experience
  • - Work Experience: Working with Prof. Stefanie Jegelka at TUM
  • - Research Projects: Involved in research areas such as Geometric Deep Learning, Generative Modeling, GFNs, and DRL
  • - Positions: Led the Azerbaijan team in International Olympiads (IPhO, EuPhO)
Education
  • - Degree: Bachelor of Computer Science & Electrical Engineering
  • - School: KAIST
  • - Time: Ongoing
  • - Advisor: Prof. Stefanie Jegelka (during exchange at TUM)
Background
  • - Research Interests: Geometric Deep Learning, Generative Modeling, Generative Flow Networks (GFNs), Deep Reinforcement Learning (DRL)
  • - Professional Field: Computer Science & Electrical Engineering
  • - Brief Introduction: A final-year Bachelor's student at KAIST, currently more aligned towards Latent Reasoning models.
Miscellany
  • - Personal Interests: Solving challenging Physics problems and teaching others
  • - Internship: Mercari Inc., Japan
Co-authors
0 total
Co-authors: 0 (list not available)