LAMBDA: An Open Framework for Deep Neural Network Accelerators Simulation. - Enrico Russo 002; Maurizio Palesi; Salvatore Monteleone; Davide Patti; Giuseppe Ascia; Vincenzo Catania (PerCom Workshops, 2021)

MEDEA: A Multi-objective Evolutionary Approach to DNN Hardware Mapping. - Enrico Russo 002; Maurizio Palesi; Salvatore Monteleone; Davide Patti; Giuseppe Ascia; Vincenzo Catania (DATE, 2022)

Combined Application of Approximate Computing Techniques in DNN Hardware Accelerators. - Enrico Russo 002; Maurizio Palesi; Davide Patti; Habiba Lahdhiri; Salvatore Monteleone; Giuseppe Ascia; Vincenzo Catania (IPDPS Workshops, 2022)

Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators. - Enrico Russo 002; Maurizio Palesi; Salvatore Monteleone; Davide Patti; Habiba Lahdhiri; Giuseppe Ascia; Vincenzo Catania (MECO, 2022)

Analyzing the Impact of DNN Hardware Accelerators-Oriented Compression Techniques on General-Purpose Low-End Boards. - Giuliano Canzonieri; Salvatore Monteleone; Maurizio Palesi; Enrico Russo 002; Davide Patti (MobiWIS, 2022)

Multi-Objective Hardware-Mapping Co-Optimisation for Multi-Tenant DNN Accelerators. - Abhijit Das 002; Enrico Russo 002; Maurizio Palesi (CoRR, 2022)

DNN Model Compression for IoT Domain-Specific Hardware Accelerators. - Enrico Russo 002; Maurizio Palesi; Salvatore Monteleone; Davide Patti; Andrea Mineo; Giuseppe Ascia; Vincenzo Catania (IEEE Internet Things J., 2022)

Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming. - Enrico Russo 002; Maurizio Palesi; Giuseppe Ascia; Davide Patti; Salvatore Monteleone; Vincenzo Catania (CF, 2023)

Wireless enabled Inter-Chiplet Communication in DNN Hardware Accelerators. - Maurizio Palesi; Enrico Russo 002; Abhijit Das 002; John Jose (IPDPS Workshops, 2023)

A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. - Fabrizio Ferrandi; Serena Curzel; Leandro Fiorin; Daniele Ielmini; Cristina Silvano; Francesco Conti 001; Alessio Burrello; Francesco Barchi; Luca Benini; Luciano Lavagno; Teodoro Urso; Enrico Calore; et al. (CoRR, 2023)

Multiobjective End-to-End Design Space Exploration of Parameterized DNN Accelerators. - Enrico Russo 002; Maurizio Palesi; Davide Patti; Salvatore Monteleone; Giuseppe Ascia; Vincenzo Catania (IEEE Internet Things J., 2023)

The position-based compression techniques for DNN model. - Minghua Tang; Enrico Russo 002; Maurizio Palesi (J. Supercomput., 2023)

A Novel Timechain-Level Approach to the Modeling of the Bitcoin Lightning Network. - Davide Patti; Salvatore Monteleone; Enrico Russo 002; Maurizio Palesi; Vincenzo Catania (Blockchain, 2024)

A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems. - Francesco Giulio Blanco; Enrico Russo 002; Maurizio Palesi; Davide Patti; Giuseppe Ascia; Vincenzo Catania (DAC, 2024)

Abstracting Bitcoin Lightning Network Complexity with Ultraviolet. - Davide Patti; Salvatore Monteleone; Enrico Russo 002; Maurizio Palesi; Vincenzo Catania (ICBC, 2024)

Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning. - Enrico Russo 002; Francesco Giulio Blanco; Maurizio Palesi; Giuseppe Ascia; Davide Patti; Vincenzo Catania (ISCAS, 2024)

Assessing the Role of Communication in Scalable Multi-Core Quantum Architectures. - Maurizio Palesi; Enrico Russo 002; Davide Patti; Giuseppe Ascia; Vincenzo Catania (MCSoC, 2024)

Data-Driven Simulation Based Fault Detection in Automotive RISC-V Applications. - Elio Vinciguerra; Enrico Russo 002; Maurizio Palesi; Giuseppe Ascia (MCSoC, 2024)

Lessons Learned on the Design of Cost-Effective and Highly Compatible Smart Gloves. - Marco Finocchiaro; Salvatore Monteleone; Enrico Russo 002; Maurizio Palesi; Davide Patti (MECO, 2024)

Improving LSTM-based Indoor Positioning via Simulation-Augmented Geomagnetic Field Dataset. - Elio Vinciguerra; Enrico Russo 002; Maurizio Palesi; Giuseppe Ascia; Hamaad Rafique (MOST, 2024)

DNN Hardware Accelerator Selection for Feasible Deployment of MARL-Based MAC Protocols in Industrial IoT Networks. - Enrico Russo 002; Elio Vinciguerra; Giuseppe Ascia; Daniela Panno (RTSI, 2024)

Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures. - Enrico Russo 002; Maurizio Palesi; Davide Patti; Giuseppe Ascia; Vincenzo Catania (CoRR, 2024)

Correction to: The position-based compression techniques for DNN model. - Minghua Tang; Enrico Russo 002; Maurizio Palesi (J. Supercomput., 2024)

Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators. - Abhijit Das 002; Enrico Russo 002; Maurizio Palesi (IEEE Trans. Computers, 2024)

A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference. - Pol Puigdemont; Enrico Russo 002; Axel Wassington; Abhijit Das 002; Sergi Abadal; Maurizio Palesi (ASP-DAC, 2025)

Optimizing Qubit Assignment in Modular Quantum Systems via Attention-Based Deep Reinforcement Learning. - Enrico Russo 002; Maurizio Palesi; Davide Patti; Giuseppe Ascia; Vincenzo Catania (DATE, 2025)

An Anomaly Detection Model for RISC-V in Automotive Applications: A Domain-Specific Accelerator Perspective. - Elio Vinciguerra; Enrico Russo 002; Maurizio Palesi; Giuseppe Ascia (PDP, 2025)