Scholar
Andreas Floros
Google Scholar ID: 3IfqRH4AAAAJ
Imperial College London
Citations & Impact
Citations
5
H-index
1
i10-index
0
Publications
6
Co-authors
6
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Paper 'Tracing the Roots' accepted at NeurIPS 2025 (scholar award); Paper 'Fake & Square' accepted at ICCV 2025 LIMIT Workshop; Paper 'SynBY' accepted at CVPR 2025 VisCon Workshop; Paper 'Trustworthy SR' accepted at ICLR 2025 DeLTa Workshop; Paper 'INDigo' awarded Best Paper at IEEE MMSP 2023; Serving as a reviewer for ICLR 2026; On the Program Committee for AAAI 2026.
Research Experience
- Worked as a software engineer at Meta with the AI for AR and PyTorch teams; Started a PhD at Imperial College London in September 2023.
Education
- PhD in Communications and Signal Processing (CSP) group at Imperial College London, advised by Pier Luigi Dragotti and Seyed Mohsen Moosavi-Dezfooli; MEng in Electrical and Electronic Engineering from Imperial in 2022, specializing in signal processing and model-based deep learning.
Background
- Research interests broadly in machine learning and diffusion-based generative modeling.
