Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning. - Julius Berner; Markus Dablander; Philipp Grohs (NeurIPS, 2020)

Exploring QSAR models for activity-cliff prediction. - Markus Dablander; Thierry Hanser; Renaud Lambiotte; Garrett M. Morris (J. Cheminformatics, 2023)

Investigating Graph Neural Networks and Classical Feature-Extraction Techniques in Activity-Cliff and Molecular Property Prediction. - Markus Dablander (CoRR, 2024)

Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report. - Markus Dablander (CoRR, 2024)

Sort & Slice: a simple and superior alternative to hash-based folding for extended-connectivity fingerprints. - Markus Dablander; Thierry Hanser; Renaud Lambiotte; Garrett M. Morris (J. Cheminformatics, 2024)