Michael Banf

According to our database, Michael Banf authored at least 14 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, August, 2025

A Tripartite Perspective on GraphRAG.

Michael Banf, Johannes Kuhn

CoRR, April, 2025

TopoBench: A Framework for Benchmarking Topological Deep Learning.

Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou

J. Data-centric Mach. Learn. Res., 2025

2024

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, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

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

Who supervises the supervisor? Model monitoring in production using deep feature embeddings with applications to workpiece inspection.

Michael Banf, Gregor Steinhagen

CoRR, 2022

2021

The Reasonable Effectiveness of Randomness in Scalable and Integrative Gene Regulatory Network Inference and Beyond.

Michael Banf, Thomas Hartwig

Comput., 2021

2019

Learning Theory and Support Vector Machines - a primer.

Michael Banf

CoRR, 2019

METACLUSTER - an R package for context-specific expression analysis of metabolic gene clusters.

Michael Banf, Kangmei Zhao, Seung Y. Rhee

Bioinform., 2019

2013

Making the Visual World Audible - Auditory Image Understanding for the Visually Impaired Based on a Modular Computer Vision Sonification Model.

Michael Banf

Shaker, ISBN: 978-3-8440-2399-2, 2013

Auditory image understanding for the visually impaired based on a modular computer vision sonification model.

Michael Banf

PhD thesis, 2013

Man made structure detection and verification of object recognition in images for the visually impaired.

Michael Banf, Volker Blanz

Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications, 2013

Sonification of images for the visually impaired using a multi-level approach.

Michael Banf, Volker Blanz

Proceedings of the 4th Augmented Human International Conference, 2013

2009

Example-Based Rendering of Eye Movements.

Michael Banf, Volker Blanz

Comput. Graph. Forum, 2009