Associate Professor of Computer Science
at the Technion.
My research interests include a number of topics in machine
learning. I am currently focusing on selective prediction,
active learning, financial modeling, and deep
Current Graduate Students
Hilleli, M.Sc. 2017
Gelbhart, M.Sc. 2017
Hubara, M.Sc. 2016
Segev, M.Sc. 2015
Wiener, Ph.D. 2013
Begleiter, Ph.D. 2013
Pidan, M.Sc. 2013
Faynburd, M.Sc. 2011
Yanay, M.Sc. 2011
Nisenson, M.Sc. 2010
Pechyony, Ph.D. 2009
Gerzon, M.Sc. 2006
- Itai Sharon, M.Sc.
Derbeko, M.Sc. 2004
Souroujon, M.Sc. 2004
Luz, M.Sc. 2003
Bekkerman, M.Sc. 2002
Nevo, M.Sc. 2002
Yaroshinski, M.Sc. 2001
Shakhnarovich, M.Sc. 2001
I'm an associate editor of the Journal of Artificial
Intelligence Research (JAIR), and on the editorial
board of the Journal
of Machine Learning Research (JMLR).
I currently serve as Area Chair for IJCAI 2018
I served as area chair for NIPS
2016, IJCAI 2015,
and was multiple times on the program committee of various
conferences including COLT, ICML, AAAI, ALT and EC.
- Deep neural networks with binary weights and
activations, as discussed here
Code by Itay Hubara can be found here.
- STRLET: open source supervised transfer learning
toolkit: Java code by Noam Segev can be downloaded here.
The toolkit implements various known transfer learning
algorithms including our random forest based Structure
Transfer and Structure Expansion Reduction algorithms
(as discussed here).
- Sequence prediction using variable order models (as
Ron Begleiter's Java code can be downloaded here.
- Some active learning algorithms (as discussed here):
Ron Begleiter and Kobi Luz's Java code can be downloaded
- 2D demo of several classification algorithms
Boosting): Gilad Mishne's Java applet
based on Weka
can be downloaded here.
The best way to reach me is via email: rani at cs dot
technion dot ac dot il
Note that my response time can sometimes be slow.
Office: CS Dept. (Taub building), office
Office phone: (+972)-4-829-3379