Luca Benini
12 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
ποΈ
Keyword Collector
(68)
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(10)
Application Areas
(8)
Deep Learning
(7)
Artificial Intelligence
(5)
Core AI
(4)
Computer Vision
(3)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Models
(3)
Analysis
(2)
Optimization & Theory Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Techniques
(2)
Natural Language Processing
(1)
Keywords
large language model
(2)
low-rank adaptation
(2)
model compression
(1)
unsupervised learning
(1)
neural network compression
(1)
post-training quantization
(1)
continual learning
(1)
referring expression
(1)
semantic segmentation
(1)
few-shot learning
(1)
image generation
(1)
anomaly detection
(1)
video understanding
(1)
class-incremental learning
(1)
neural architecture search
(1)
representation learning
(1)
image compression
(1)
instance segmentation
(1)
efficient inference
(1)
quantization
(1)
Papers
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
RSS 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
ICCV 2025
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
ICML 2025
RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning
CoRL 2025
Semantic and Sequential Alignment for Referring Video Object Segmentation
CVPR 2025
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
ICML 2025
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
NeurIPS 2023
Constrained Few-Shot Class-Incremental Learning
CVPR 2022
Training Quantised Neural Networks With STE Variants: The Additive Noise Annealing Algorithm
CVPR 2022
Anomaly Detection Using Autoencoders in High Performance Computing Systems
AAAI 2019
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration
NeurIPS 2019
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
NeurIPS 2017