Robin C. Geyer

According to our database, Robin C. Geyer authored at least 4 papers between 2017 and 2024.

Collaborative distances:

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

2024

Measuring Orthogonality in Representations of Generative Models.

Robin C. Geyer, Alessandro Torcinovich, João B. S. Carvalho, Alexander Meyer, Joachim M. Buhmann

Trans. Mach. Learn. Res., 2024

2023

Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective.

João B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2019

Transfer Learning by Adaptive Merging of Multiple Models.

Robin Geyer, Luca Corinzia, Viktor Wegmayr

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2017

Differentially Private Federated Learning: A Client Level Perspective.

Robin C. Geyer, Tassilo Klein, Moin Nabi

CoRR, 2017