63 citations · 150 across the 32 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
eess.IV2023★ 3 cited
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
Tomer Garber, Tom Tirer
Training deep neural networks has become a common approach for addressing image restoration problems. An alternative for training a "task-specific" network for each observation mod…
cs.LG2023★ 1 cited
Deep Internal Learning: Deep Learning from a Single Input
Tom Tirer, Raja Giryes, Se Young Chun +1
Deep learning, in general, focuses on training a neural network from large labeled datasets. Yet, in many cases there is value in training a network just from the input at hand. Th…
cs.LG2023★ 2 cited
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
Vignesh Kothapalli, Tom Tirer, Joan Bruna
Graph neural networks (GNNs) have become increasingly popular for classification tasks on graph-structured data. Yet, the interplay between graph topology and feature evolution in…