Ayhan Suleymanzade

Hey there!

I am a final-year CS & EE Bachelor’s student at KAIST, South Korea. During my studies, I tried to explore different areas in Deep Learning. My professional and research experience includes the areas of Geometric Deep Learning, Generative Modeling, Generative Flow Networks (GFNs), and Deep Reinforcement Learning (DRL).

Currently, I am more aligned towards Latent Representation Learning and its applications in Generative Modeling. I am lucky to be working with Prof. Stefanie Jegelka at TUM during my exchange semester.

Additionally, I love solving challenging Physics problems and teaching others. I lead team Azerbaijan in International Olympiads (IPhO, EuPhO).

I am always looking for new opportunities, thus I am open to any research collaboration or internship opportunities. Feel free to check out my CV and Transcript.

news

May 15, 2025	Our paper, CultDiff, has been accepted to ACL 2025 Main Conference! 🎉
Apr 16, 2025	I started my exchange semester at TU Munich, Germany. I am working with Prof. Stefanie Jegelka.
Feb 20, 2025	I am honored to be recognized on the Dean’s List for the Fall 2024 semester for the 4th time. 🎉
Feb 15, 2025	Our paper, Random Walk Neural Networks, has been accepted to ICLR 2025 as Spotlight Presentation! 🎉
Jan 10, 2025	I have started my internship at Mercari Inc, Japan.
Aug 20, 2024	I am honored to be recognized on the Dean’s List for the Spring 2024 semester. 🎉
Mar 01, 2024	I am honored to have been awarded the KAIST Alumni Fellowship, granted to only 7 undergraduate students. 🎉

Selected Publications

ACL 2025 Oral

Diffusion Models Through a Global Lens: Are They Culturally Inclusive?

Zahra Bayramli^*, Ayhan Suleymanzade^*, Na Min An, and 5 more authors

Association for Computational Linguistics (ACL), 2025

Bib PDF

@article{bayramli2025diffusionmodelsgloballens,
  title = {Diffusion Models Through a Global Lens: Are They Culturally Inclusive?},
  author = {Bayramli, Zahra and Suleymanzade, Ayhan and An, Na Min and Ahmad, Huzama and Kim, Eunsu and Park, Junyeong and Thorne, James and Oh, Alice},
  year = {2025},
  journal = {Association for Computational Linguistics (ACL)},
  oral = {Oral},
}

ICLR 2025 Spotlight

Revisiting Random Walks for Learning on Graphs

Jinwoo Kim, Olga Zaghen^*, Ayhan Suleymanzade^*, and 2 more authors

International Conference on Learning Representations (ICLR), 2025

Bib PDF

@article{kim2025revisitingrandomwalkslearning,
  title = {Revisiting Random Walks for Learning on Graphs},
  author = {Kim, Jinwoo and Zaghen, Olga and Suleymanzade, Ayhan and Ryou, Youngmin and Hong, Seunghoon},
  year = {2025},
  journal = {International Conference on Learning Representations (ICLR)},
  spotlight = {Spotlight},
}

NeurIPS 2023 Spotlight

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

Jinwoo Kim, Tien Dat Nguyen, Ayhan Suleymanzade, and 2 more authors

Neural Information Processing Systems (NeurIPS), 2023

Bib PDF

@article{kimd2024learningprobabilisticsymmetrizationarchitecture,
  title = {Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance},
  author = {Kim, Jinwoo and Nguyen, Tien Dat and Suleymanzade, Ayhan and An, Hyeokjun and Hong, Seunghoon},
  year = {2023},
  journal = {Neural Information Processing Systems (NeurIPS)},
  spotlight = {Spotlight},
}