117 citations · 122 across the 15 of their papers we have counts for
5 papers · 1 filter
Generative Topological Networks
Alona Levy-Jurgenson, Zohar Yakhini
Generative methods have recently seen significant improvements by generating in a lower-dimensional latent representation of the data. However, many of the generative methods appli…
Tighter Bounds on the Information Bottleneck with Application to Deep Learning
Nir Weingarten, Zohar Yakhini, Moshe Butman +1
Deep Neural Nets (DNNs) learn latent representations induced by their downstream task, objective function, and other parameters. The quality of the learned representations impacts…
Autoencoder Image Interpolation by Shaping the Latent Space
Alon Oring, Zohar Yakhini, Yacov Hel-Or
Autoencoders represent an effective approach for computing the underlying factors characterizing datasets of different types. The latent representation of autoencoders have been st…
On the Sample Complexity of Learning Bayesian Networks
Nir Friedman, Zohar Yakhini
In recent years there has been an increasing interest in learning Bayesian networks from data. One of the most effective methods for learning such networks is based on the minimum…
A Distance-Based Branch and Bound Feature Selection Algorithm
Ari Frank, Dan Geiger, Zohar Yakhini
There is no known efficient method for selecting k Gaussian features from n which achieve the lowest Bayesian classification error. We show an example of how greedy algorithms face…