Maximilian Andreas Hoefler

According to our database, Maximilian Andreas Hoefler authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Leveraging Sparsity for Privacy in Collaborative Inference.

Maximilian Andreas Hoefler, Karsten Müller, Wojciech Samek

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

ReReLRP - Remembering and Recognizing Tasks with LRP.

Karolina Bogacka, Maximilian Andreas Hoefler, Maria Ganzha, Wojciech Samek, Katarzyna Wasielewska-Michniewska

CoRR, February, 2025

FedXDS: Leveraging Model Attribution Methods to Counteract Data Heterogeneity in Federated Learning.

Maximilian Andreas Hoefler, Karsten Müller, Wojciech Samek

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Relevance-Guided Activation Sparsification for Bandwidth-Efficient Collaborative Inference.

Maximilian Andreas Hoefler, Daniel Becking, Karsten Müller, Detlev Marpe, Wojciech Samek

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

XAI-Guided Insulator Anomaly Detection for Imbalanced Datasets.

Maximilian Andreas Hoefler, Karsten Müller, Wojciech Samek

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Boosting Federated Learning with Diffusion Models for Non-IID and Imbalanced Data.

Maximilian Andreas Hoefler, Tatsiana Mazouka, Karsten Mueller, Wojciech Samek

Proceedings of the IEEE International Conference on Big Data, 2024