Deep Bregman Divergence for Contrastive Learning of Visual Representations. - Mina Rezaei; Farzin Soleymani; Bernd Bischl; Shekoofeh Azizi (CoRR, 2021)

Deep variational clustering framework for self-labeling large-scale medical images. - Farzin Soleymani; Mohammad Eslami; Tobias Elze; Bernd Bischl; Mina Rezaei (Image Processing, 2022)

Deep Bregman divergence for self-supervised representations learning. - Mina Rezaei; Farzin Soleymani; Bernd Bischl; Shekoofeh Azizi (Comput. Vis. Image Underst., 2023)

CliquePH: Higher-Order Information for Graph Neural Networks Through Persistent Homology on Clique Graphs. - Davide Buffelli; Farzin Soleymani; Bastian Rieck (LoG, 2024)