Till Aczel
Scholar

Till Aczel

Google Scholar ID: HIVPdDUAAAAJ
ETH Zurich
deep learningrepresentation learningneural compression
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Citations & Impact
All-time
Citations
15
 
H-index
2
 
i10-index
0
 
Publications
15
 
Co-authors
5
list available
Contact
No contact links provided.
Publications
10 items
GIC-DLC: Differentiable Logic Circuits for Hardware-Friendly Grayscale Image Compression
2026
Cited
0
Efficient Bayesian Inference from Noisy Pairwise Comparisons
2025
Cited
0
Virtual Fashion Photo-Shoots: Building a Large-Scale Garment-Lookbook Dataset
2025
Cited
0
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
2025
Cited
0
The Impact of Scaling Training Data on Adversarial Robustness
2025
Cited
0
The Unwinnable Arms Race of AI Image Detection
2025
Cited
0
Recurrent Deep Differentiable Logic Gate Networks
2025
Cited
0
Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
2025
Cited
0
Resume (English only)
Co-authors
5 total
Roger Wattenhofer
Roger Wattenhofer
ETH Zurich
Andreas Plesner
Andreas Plesner
PhD Student, ETH Zurich
Benjamin Estermann
Benjamin Estermann
Google DeepMind
Théo Ladune
Théo Ladune
Ph. D., Video Coding Researcher @ Orange
Co-author 5
Co-author 5