Michele Magno

Principal Researcher, D-ITET, ETHZ - ETH Zurich

Joined

May 2022

Names

Michele Magno (Preferred)

Emails

****@pbl.ee.ethz.ch (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Principal Researcher

D-ITET, ETHZ - ETH Zurich (ethz.ch)

2020 – Present

Researcher

ETHZ - ETH Zurich (ethz.ch)

2013 – 2020

Postdoc

University College Cork (ucc.ie)

2011 – 2013

PhD student

University of Bologna (unibo.it)

2006 – 2010

Advisors, Relations & Conflicts

Coworker

Luc Van Gool

2013 – 2022

Postdoc Advisor

Emanuel Popovici

2011 – 2013

PhD Advisor

Luca Benini

2006 – 2010

Expertise

Learning on Devices

2019 – 2026

Tiny Machine Learning

2015 – 2026

Edge AI

2015 – 2026

Embedded Systems

2005 – 2026

Intelligent Sensing

2005 – 2026

Publications

Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans
Nicky Zimmerman, Hanna Müller, Michele Magno, Luca Benini
- 2024 IEEE International Conference on Robotics and Automation (ICRA)
- Readers: Everyone
Post-Training Quantization for Video Matting
Tianrui Zhu, Houyuan Chen, Ruihao Gong, Michele Magno, Haotong Qin, Kai Zhang
- ICLR 2026 Poster
- Readers: Everyone
Quantized Visual Geometry Grounded Transformer
Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
- ICLR 2026 Poster
- Readers: Everyone
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
- ICLR 2026 Poster
- Readers: Everyone
Wireless Low-Latency Synchronization for Body-Worn Multi-Node Systems in Sports
Nico Krull, Lukas Schulthess, Michele Magno, Luca Benini, Christoph Leitner
- BSN 2025
- Readers: Everyone
$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu
- NeurIPS 2025 poster
- Readers: Everyone
RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning
Liam Boyle, Nicolas Baumann, Paviththiren Sivasothilingam, Michele Magno, Luca Benini
- CoRL 2025 Poster
- Readers: Everyone
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch, Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Andrea Carron, Michele Magno
- RLC 2025
- Readers: Everyone
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, XIAOJUAN QI
- ICML 2025 poster
- Readers: Everyone
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno
- ICML 2025 poster
- Readers: Everyone

View all 21 publications

Co-Authors

View all 56 co-authors