Neural Responses to Abstract and Linguistic Stimuli with Variable Recognition Latency. - Markus A. Wenzel; Carlos Moreira; Iulia-Alexandra Lungu; Mihail Bogojeski; Benjamin Blankertz (Symbiotic, 2015)

Learning More Expressive Joint Distributions in Multimodal Variational Methods. - Sasho Nedelkoski; Mihail Bogojeski; Odej Kao (LOD (1), 2020)

SE(3)-equivariant prediction of molecular wavefunctions and electronic densities. - Oliver T. Unke; Mihail Bogojeski; Michael Gastegger; Mario Geiger; Tess E. Smidt; Klaus-Robert Müller (NeurIPS, 2021)

Forecasting industrial aging processes with machine learning methods. - Mihail Bogojeski; Simeon Sauer; Franziska Horn; Klaus-Robert Müller (Comput. Chem. Eng., 2021)

Machine learning for electronic structure (Maschinelles Lernen für elektronische Struktur) - Mihail Bogojeski (2023)

A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. - Parastoo Semnani; Mihail Bogojeski; Florian Bley; Zizheng Zhang; Qiong Wu; Thomas Kneib; Jan Herrmann; Christoph Weisser; Florina Patcas; Klaus-Robert Müller (CoRR, 2024)

Data augmentation for forecasting industrial aging processes via conditional multimodal generative time-series models. - Mihail Bogojeski; Nataliya Yakut; Sasho Nedelkoski; Shinichi Nakajima; Klaus-Robert Müller (Comput. Chem. Eng., 2025)