Scholar
Ayhan Suleymanzade
Google Scholar ID: O-q4mhgAAAAJ
KAIST
Machine Learning
Deep Learning
Reinforcement Learning
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Citations & Impact
All-time
Citations
25
H-index
3
i10-index
1
Publications
3
Co-authors
0
Contact
Email
ayhansuleymanzade@kaist.ac.kr
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Publications
2 items
Diffusion Models Through a Global Lens: Are They Culturally Inclusive?
2025
Cited
0
Revisiting Random Walks for Learning on Graphs
arXiv.org · 2024
Cited
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
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Co-authors: 0 (list not available)
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