Cristian Cioflan

According to our database, Cristian Cioflan authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 2025

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, March, 2025

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., June, 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

Dataset, 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

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

Work in Progress: Linear Transformers for TinyML.

Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini

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

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

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

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks.

Andrea Mattei, Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Improving Data-Scarce Image Classification Through Multimodal Synthetic Data Pretraining.

Carl Brander, Cristian Cioflan, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini

Proceedings of the IEEE Sensors Applications Symposium, 2023

2022

Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting.

Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search.

Cristian Cioflan, Radu Timofte

Proceedings of the IEEE International Conference on Robotics and Automation, 2021