Michele Magno
9 papers · 2024–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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Keyword Champion
(2)
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Prolific Year · Productive
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Research topics
Machine Learning
(8)
Application Areas
(8)
Artificial Intelligence
(6)
Core AI
(6)
Deep Learning
(4)
Models
(3)
Architectures
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Generation
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Resources & Methods
(1)
Keywords
quantization
(4)
post-training quantization
(2)
perplexity
(2)
diffusion model
(2)
large language model
(2)
knowledge distillation
(1)
video generation
(1)
model quantization
(1)
low-rank representation
(1)
mixed precision
(1)
hessian matrix
(1)
lora fine-tuning
(1)
low-rank adaptation
(1)
retrieval-augmented generation
(1)
low-bit quantization
(1)
efficient computing
(1)
mixed-precision quantization
(1)
diffusion transformer
(1)
weight quantization
(1)
model predictive control
(1)
Papers
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
AAAI 2026
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
ICLR 2025
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
RSS 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
AAAI 2025
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
ICML 2025
RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning
CoRL 2025
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
ICML 2025
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
ICML 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
ICML 2024