MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search. - Cristian Cioflan; Radu Timofte (ICRA, 2021)

Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. - Cristian Cioflan; Lukas Cavigelli; Manuele Rusci; Miguel de Prado; Luca Benini (AICAS, 2022)

Improving Data-Scarce Image Classification Through Multimodal Synthetic Data Pretraining. - Carl Brander; Cristian Cioflan; Vlad Niculescu; Hanna Müller; Tommaso Polonelli; Michele Magno; Luca Benini (SAS, 2023)

Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks. - Andrea Mattei; Moritz Scherer 001; Cristian Cioflan; Michele Magno; Luca Benini (WF-IoT, 2023)

On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. - Cristian Cioflan; Lukas Cavigelli; Manuele Rusci; Miguel de Prado; Luca Benini (AICAS, 2024)

Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces. - Lan Mei; Cristian Cioflan; Thorir Mar Ingolfsson; Victor Javier Kartsch; Andrea Cossettini; Xiaying Wang; Luca Benini (BioCAS, 2024)

Work in Progress: Linear Transformers for TinyML. - Moritz Scherer 001; Cristian Cioflan; Michele Magno; Luca Benini (DATE, 2024)

12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning. - Yoga Esa Wibowo; Cristian Cioflan; Thorir Mar Ingolfsson; Michael Hersche; Leo Zhao; Abbas Rahimi; Luca Benini (DATE, 2024)

Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. - Konstantin Kalenberg; Hanna Müller; Tommaso Polonelli; Alberto Schiaffino; Vlad Niculescu; Cristian Cioflan; Michele Magno; Luca Benini (Zenodo, 2024)

Boosting keyword spotting through on-device learnable user speech characteristics. - Cristian Cioflan; Lukas Cavigelli; Luca Benini (CoRR, 2024)

Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. - Konstantin Kalenberg; Hanna Müller; Tommaso Polonelli; Alberto Schiaffino; Vlad Niculescu; Cristian Cioflan; Michele Magno; Luca Benini (IEEE Internet Things J., 2024)

On-Device Federated Continual Learning on RISC-V-based Ultra-Low-Power SoC for Intelligent Nano-Drone Swarms. - Lars Kröger; Cristian Cioflan; Victor Javier Kartsch; Luca Benini (CoRR, 2025)

An Ultra-Low Power Wearable BMI System With Continual Learning Capabilities. - Lan Mei; Thorir Mar Ingolfsson; Cristian Cioflan; Victor Javier Kartsch Morinigo; Andrea Cossettini; Xiaying Wang; Luca Benini (IEEE Trans. Biomed. Circuits Syst., 2025)