Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari; Francesco Conti 001; Lorenzo Lamberti; Enrico Macii; Luca Benini; Massimo Poncino (DAC, 2021)

Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari; Simone Benatti; Enrico Macii; Luca Benini; Massimo Poncino (ISCAS, 2021)

Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. - Alessio Burrello; Daniele Jahier Pagliari; Matteo Risso; Simone Benatti; Enrico Macii; Luca Benini; Massimo Poncino (IEEE Trans. Biomed. Circuits Syst., 2021)

Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. - Matteo Risso; Alessio Burrello; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (IGSC, 2022)

Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. - Matteo Risso; Alessio Burrello; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (ISLPED, 2022)

Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. - Alessio Burrello; Daniele Jahier Pagliari; Pierangelo Maria Rapa; Matilde Semilia; Matteo Risso; Tommaso Polonelli; Massimo Poncino; Luca Benini; Simone Benatti (ACM Trans. Comput. Heal., 2022)

Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. - Alessio Burrello; Matteo Risso; Noemi Tomasello; Yukai Chen; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (DATE, 2023)

PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization. - Daniele Jahier Pagliari; Matteo Risso; Beatrice Alessandra Motetti; Alessio Burrello (FDL, 2023)

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. - Elia Cereda; Luca Crupi; Matteo Risso; Alessio Burrello; Luca Benini; Alessandro Giusti; Daniele Jahier Pagliari; Daniele Palossi (ICRA, 2023)

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. - Matteo Risso; Alessio Burrello; Giuseppe Maria Sarda; Luca Benini; Enrico Macii; Massimo Poncino; Marian Verhelst; Daniele Jahier Pagliari (ISLPED, 2023)

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. - Lia Morra; Alberto Azzari; Letizia Bergamasco; Marco Braga; Luigi Capogrosso; Federico Delrio; Giuseppe Di Giacomo; Simone Eiraudo; Giorgia Ghione; Rocco Giudice; Alkis Koudounas; Luca Piano; et al. (NeSy, 2023)

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. - Matteo Risso; Alessio Burrello; Francesco Conti 001; Lorenzo Lamberti; Yukai Chen; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (IEEE Trans. Computers, 2023)

Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. - Mohamed Amine Hamdi; Giovanni Pollo; Matteo Risso; Germain Haugou; Alessio Burrello; Enrico Macii; Massimo Poncino; Sara Vinco; Daniele Jahier Pagliari (CF (Companion), 2024)

AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. - Giulia Elena Aliffi; Joao Baixinho; Dalibor Barri; Francesco Daghero; Nicola Di Carolo; Gabriele Faraone; Michelangelo Grosso; Daniele Jahier Pagliari; Jiri Jakovenko; Vladimír Janícek; Dario Licastro; Vazgen Melikyan; et al. (DATE, 2024)

Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. - Beatrice Alessandra Motetti; Luca Crupi; Mustafa Omer Mohammed Elamin Elshaigi; Matteo Risso; Daniele Jahier Pagliari; Daniele Palossi; Alessio Burrello (DATE, 2024)

HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. - Matteo Risso; Chen Xie; Francesco Daghero; Alessio Burrello; Seyedmorteza Mollaei; Marco Castellano; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (DATE, 2024)

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. - Matteo Risso; Francesco Daghero; Beatrice Alessandra Motetti; Daniele Jahier Pagliari; Enrico Macii; Massimo Poncino; Alessio Burrello (ERF (1), 2024)

Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. - Beatrice Alessandra Motetti; Matteo Risso; Alessio Burrello; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2024)

Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. - Alessio Burrello; Matteo Risso; Beatrice Alessandra Motetti; Enrico Macii; Luca Benini; Daniele Jahier Pagliari (IEEE Trans. Emerg. Top. Comput., 2024)

Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. - Matteo Risso; Alessia Goffi; Beatrice Alessandra Motetti; Alessio Burrello; Jean Baptiste Bove; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari; Giuseppe Maffeis (IPAS, 2025)

MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. - Giovanni Pollo; Mohamed Amine Hamdi; Matteo Risso; Lorenzo Ruotolo; Pietro Furbatto; Matteo Isoldi; Yukai Chen; Alessio Burrello; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari; Sara Vinco (CoRR, 2025)

Optimizing DNN Inference on Multi-accelerator SoCs at Training-Time. - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)