63 citations · 150 across the 32 of their papers we have counts for
4 papers · 1 filter
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
Tomer Garber, Tom Tirer
In recent years, it has become popular to tackle image restoration tasks with a single pretrained diffusion model (DM) and data-fidelity guidance, instead of training a dedicated d…
Unveiling Multiple Descents in Unsupervised Autoencoders
Kobi Rahimi, Yehonathan Refael, Tom Tirer +1
The phenomenon of double descent has challenged the traditional bias-variance trade-off in supervised learning but remains unexplored in unsupervised learning, with some studies ar…
Can Kernel Methods Explain How the Data Affects Neural Collapse?
Vignesh Kothapalli, Tom Tirer
A vast amount of literature has recently focused on the "Neural Collapse" (NC) phenomenon, which emerges when training neural network (NN) classifiers beyond the zero training erro…
On Temperature Scaling and Conformal Prediction of Deep Classifiers
Lahav Dabah, Tom Tirer
In many classification applications, the prediction of a deep neural network (DNN) based classifier needs to be accompanied by some confidence indication. Two popular approaches fo…