8 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Alias-Free ViT: Fractional Shift Invariance via Linear Attention
Hagay Michaeli, Daniel Soudry
Transformers have emerged as a competitive alternative to convnets in vision tasks, yet they lack the architectural inductive bias of convnets, which may hinder their potential per…
quant-ph2023★ 4 cited
Exponential Quantum Communication Advantage in Distributed Inference and Learning
Dar Gilboa, Hagay Michaeli, Daniel Soudry +1
Training and inference with large machine learning models that far exceed the memory capacity of individual devices necessitates the design of distributed architectures, forcing on…
cs.CV2023★ 8 cited
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
Hagay Michaeli, Tomer Michaeli, Daniel Soudry
Although CNNs are believed to be invariant to translations, recent works have shown this is not the case, due to aliasing effects that stem from downsampling layers. The existing a…