Magno, Michele

13 publications

NeurIPS 2025 $\text{S}^2$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

ICLR 2025 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno

AAAI 2025 MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno

ICML 2025 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

CoRL 2025 RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models Through Closed-Loop Reinforcement Learning Liam Boyle, Nicolas Baumann, Paviththiren Sivasothilingam, Michele Magno, Luca Benini

ICML 2025 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

CVPRW 2025 Towards Low-Latency Event-Based Obstacle Avoidance on a FPGA-Drone Pietro Bonazzi, Christian Vogt, Michael Jost, Lyes Khacef, Federico Paredes-Vallés, Michele Magno

ICML 2024 Accurate LoRA-Finetuning Quantization of LLMs via Information Retention Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno

ICML 2024 BiLLM: Pushing the Limit of Post-Training Quantization for LLMs Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi

NeurIPSW 2024 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno

CVPRW 2024 Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno

ECCVW 2024 Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno

TMLR 2023 Efficient Inference with Model Cascades Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K Muller