Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. - Maksim Zhdanov 001; Saskia Steinmann; Nico Hoffmann (ICPR, 2022)

Learning Generative Factors of EEG Data with Variational Auto-Encoders. - Maksim Zhdanov 001; Saskia Steinmann; Nico Hoffmann (DGM4MICCAI@MICCAI, 2022)

Learning Generative Factors of Neuroimaging Data with Variational auto-encoders. - Maksim Zhdanov 001; Saskia Steinmann; Nico Hoffmann (CoRR, 2022)

Amortized Bayesian Inference of GISAXS Data with Normalizing Flows. - Maksim Zhdanov 001; Lisa Randolph; Thomas Kluge; Motoaki Nakatsutsumi; Christian Gutt; Marina Ganeva; Nico Hoffmann (CoRR, 2022)

Implicit Neural Convolutional Kernels for Steerable CNNs. - Maksim Zhdanov 001; Nico Hoffmann; Gabriele Cesa (CoRR, 2022)

Implicit Convolutional Kernels for Steerable CNNs. - Maksim Zhdanov 001; Nico Hoffmann; Gabriele Cesa (NeurIPS, 2023)

Clifford-Steerable Convolutional Neural Networks. - Maksim Zhdanov 001; David Ruhe; Maurice Weiler; Ana Lucic; Johannes Brandstetter; Patrick Forré (ICML, 2024)

Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems. - Maksim Zhdanov 001; Max Welling; Jan-Willem van de Meent (CoRR, 2025)

AdS-GNN - a Conformally Equivariant Graph Neural Network. - Maksim Zhdanov 001; Nabil Iqbal; Erik J. Bekkers; Patrick Forré (CoRR, 2025)

BSA: Ball Sparse Attention for Large-scale Geometries. - Catalin E. Brita; Hieu Nguyen; Lohithsai Yadala Chanchu; Domonkos Nagy; Maksim Zhdanov 001 (CoRR, 2025)