Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance. - Jinwoo Kim; Dat Nguyen; Ayhan Suleymanzade; Hyeokjun An; Seunghoon Hong (NeurIPS, 2023)

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance. - Jinwoo Kim; Tien Dat Nguyen; Ayhan Suleymanzade; Hyeokjun An; Seunghoon Hong (CoRR, 2023)

Diffusion Models Through a Global Lens: Are They Culturally Inclusive? - Zahra Bayramli; Ayhan Suleymanzade; Na Min An; Huzama Ahmad; Eunsu Kim; Junyeong Park; James Thorne; Alice Oh (ACL (1), 2025)

Revisiting Random Walks for Learning on Graphs. - Jinwoo Kim; Olga Zaghen; Ayhan Suleymanzade; Youngmin Ryou; Seunghoon Hong (ICLR, 2025)