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2020 – today
- 2026
[j3]Oscar Artur Bernd Berg
, Eiraj Saqib, Axel Jantsch, Isaac Sánchez Leal, Irida Shallari, Silvia Krug, Mattias O'Nils:
BranchySplit: Runtime-Adaptable Partitioning and Early Exits for Accelerated Edge Inference. IEEE Access 14: 6833-6846 (2026)- 2025
- [j2]Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Irida Shallari, Silvia Krug, Isaac Sánchez Leal, Mattias O'Nils:
TCL: Time-Dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs. IEEE Access 13: 103640-103648 (2025) - [j1]Isaac Sánchez Leal, Oscar Artur Bernd Berg, Silvia Krug, Eiraj Saqib, Irida Shallari, Axel Jantsch, Mattias O'Nils, Tomas Nordström:
Quantization Compensator Network: Server-Side Feature Reconstruction in Partitioned IoT Systems. IEEE Access 13: 186488-186508 (2025) - [c4]Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Mattias O'Nils, Irida Shallari, Isaac Sánchez Leal, Silvia Krug:
Quantization-Aware Training for Autoencoder-Based Partitioning of CNNs. PerCom Workshops 2025: 261-266 - [c3]Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Mattias O'Nils, Silvia Krug, Irida Shallari, Isaac Sánchez Leal:
Efficient Inference of parallel partitioned hybrid-Vision Transformers. RAGE@SenSys 2025: 5:1-5:6 - 2023
- [c2]Isaac Sánchez Leal, Eiraj Saqib, Irida Shallari, Axel Jantsch, Silvia Krug, Mattias O'Nils:
Waist Tightening of CNNs: A Case study on Tiny YOLOv3 for Distributed IoT Implementations. CPS-IoT Week Workshops 2023: 241-246 - [c1]Eiraj Saqib, Isaac Sánchez Leal, Irida Shallari, Axel Jantsch, Silvia Krug, Mattias O'Nils:
Optimizing the IoT Performance: A Case Study on Pruning a Distributed CNN. SAS 2023: 1-6
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