Example-Based Rendering of Eye Movements. - Michael Banf; Volker Blanz (Comput. Graph. Forum, 2009)

Sonification of images for the visually impaired using a multi-level approach. - Michael Banf; Volker Blanz (AH, 2013)

Man made structure detection and verification of object recognition in images for the visually impaired. - Michael Banf; Volker Blanz (MIRAGE, 2013)

Auditory image understanding for the visually impaired based on a modular computer vision sonification model. - Michael Banf (2013)

Making the Visual World Audible - Auditory Image Understanding for the Visually Impaired Based on a Modular Computer Vision Sonification Model. - Michael Banf (Shaker, 2013)

METACLUSTER - an R package for context-specific expression analysis of metabolic gene clusters. - Michael Banf; Kangmei Zhao; Seung Y. Rhee (Bioinform., 2019)

Learning Theory and Support Vector Machines - a primer. - Michael Banf (CoRR, 2019)

The Reasonable Effectiveness of Randomness in Scalable and Integrative Gene Regulatory Network Inference and Beyond. - Michael Banf; Thomas Hartwig (Comput., 2021)

Who supervises the supervisor? Model monitoring in production using deep feature embeddings with applications to workpiece inspection. - Michael Banf; Gregor Steinhagen (CoRR, 2022)

Artificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits. - Mahmoud Kheir-Eddine; Michael Banf; Gregor Steinhagen (CoRR, 2022)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

A Tripartite Perspective on GraphRAG. - Michael Banf; Johannes Kuhn (CoRR, 2025)

A Remedy for Over-Squashing in Graph Learning via Forman-Ricci Curvature based Graph-to-Hypergraph Structural Lifting. - Michael Banf; Dominik Filipiak; Max Schattauer; Liliya Imasheva (CoRR, 2025)