19 citations · 78 across the 31 of their papers we have counts for
5 papers · 1 filter
The Underlying Correlated Dynamics in Neural Training
Rotem Turjeman, Tom Berkov, Ido Cohen +1
Training of neural networks is a computationally intensive task. The significance of understanding and modeling the training dynamics is growing as increasingly larger networks are…
BASiS: Batch Aligned Spectral Embedding Space
Or Streicher, Ido Cohen, Guy Gilboa
Graph is a highly generic and diverse representation, suitable for almost any data processing problem. Spectral graph theory has been shown to provide powerful algorithms, backed b…
Spectral Total-Variation Processing of Shapes: Theory and Applications
Jonathan Brokman, Martin Burger, Guy Gilboa
We present an analysis of total-variation (TV) on non-Euclidean parameterized surfaces, a natural representation of the shapes used in 3D graphics. Our work explains recent experim…
Analysis of Branch Specialization and its Application in Image Decomposition
Jonathan Brokman, Guy Gilboa
Branched neural networks have been used extensively for a variety of tasks. Branches are sub-parts of the model that perform independent processing followed by aggregation. It is k…
How to Guide Adaptive Depth Sampling?
Ilya Tcenov, Guy Gilboa
Recent advances in depth sensing technologies allow fast electronic maneuvering of the laser beam, as opposed to fixed mechanical rotations. This will enable future sensors, in pri…