Scholar
Michael Spratling
Google Scholar ID: A2tJIE4AAAAJ
University of Luxembourg
Neural Networks
Machine Learning
Computer Vision
Computational Neuroscience
Visual Cognition
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
2,560
H-index
25
i10-index
37
Publications
20
Co-authors
36
list available
Contact
Email
michael.spratling@uni.lu
CV
Open ↗
GitHub
Open ↗
Publications
1 items
FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection
2026
Cited
0
Resume
Background
Research interests span neural networks, computational neuroscience, computer vision, visual cognition, machine learning, and learning & development
Focuses on biologically-inspired neural networks, adversarial robustness, representation learning, and dynamic/deformable neural networks
In computational neuroscience, studies predictive coding, neural information processing, dendritic computation, cortical feedback, and inter-regional interactions
In computer vision, works on object recognition, viewpoint invariance, image segmentation, anomaly detection, and open-set recognition
Explores sparse coding, continual learning, few-shot learning, unsupervised/self-supervised learning, and related ML paradigms
Investigates cortical, behavioral, and cognitive development, perceptual learning, and epigenetic/developmental robotics
Co-authors
7 total
Lin Li
Postdoc@OATML group, Oxford
Haoyan Guan
The University of Hong Kong
Chaoqin Huang
Shanghai Jiao Tong University, National University of Singapore
Ya Zhang
Shanghai Jiao Tong University
Yanfeng Wang
Shanghai Jiao Tong University
Nikolay Manchev
King's College London
Jianing Qiu
Assistant Professor, Mohamed bin Zayed University of Artificial Intelligence