Matteo Risso

Enrico Macii

Luca Benini

IEEE Trans. Emerg. Top. Comput., 2024

Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data.

[BibT_eX]

[DOI]

Alessia Goffi

Giuseppe Maffeis

CoRR, 2024

Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time.

[BibT_eX]

[DOI]

CoRR, 2024

Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones.

[BibT_eX]

[DOI]

Francesco Daghero

Enrico Macii

Massimo Poncino

CoRR, 2024

HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones.

[BibT_eX]

[DOI]

Mustafa Omer Mohammed Elamin Elshaigi

Luca Crupi

Daniele Palossi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge.

[BibT_eX]

[DOI]

IEEE Trans. Computers, March, 2023

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.

[BibT_eX]

[DOI]

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs.

[BibT_eX]

[DOI]

Daniele Palossi

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization.

[BibT_eX]

[DOI]

Proceedings of the Forum on Specification & Design Languages, 2023

Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring.

[BibT_eX]

[DOI]

Pierangelo Maria Rapa

ACM Trans. Comput. Heal., 2022

Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Green and Sustainable Computing Conference, 2022

2021

Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Circuits Syst., 2021

Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks.

[BibT_eX]

[DOI]