Curriculum Vitae - Michal Rosen-Zvi

May 2005

Dr. Michal Rosen-Zvi

School of Computer Science and Engineering
The Hebrew University of Jerusalem
91904 Jerusalem, Israel

Email: mrosenz@cs.huji.ac.il

Homepage: http://www.ics.uci.edu/~michal/

Postdoctoral Fellow

January 2005- Computer Science, Hebrew University

Advisors: Prof. Tali Tishby and Dr. Yair Weiss

2003-4 Information & Computer Science, UC Irvine

Advisors: Professor Padhraic Smyth and Professor Max Welling

2002-3 Computer Science Division, UC Berkeley

Advisor: Professor Michael I. Jordan

Education:

2003 PhD in Physics

Dissertation: "Learning from examples in complex networks"

Advisor: Prof. Ido Kanter, Bar-Ilan University, Israel

1996 M.Sc. magna cum laude in physics

Thesis: "Aspects of Photon Migration in Biological Tissues"

Advisor: Prof. Haim Taitelbaum, Bar-Ilan University, Israel

1994 B.Sc. magna cum laude in expanded physics, Bar-Ilan University, Israel

Publications:

The DLR Hierarchy of Approximate Inference
Michal Rosen-Zvi, Michael I. Jordan and Alan L. Yuillle
Proceedings of Uncertainty in Artificial Intelligence, (UAI 2005)

Exponential Family Harmoniums with an Application to Information Retrieval.
Max Welling, Michal Rosen-Zvi and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 17 MIT Press, Cambridge, MA (2005)

The Author-Topic Model for Authors and Documents
Michal Rosen-Zvi, Tom Griffiths, Mark Steyvers and Padhraic Smyth
Proceedings of Uncertainty in Artificial Intelligence, (UAI 2004)

Probabilistic Author-Topic Models for Information Discovery
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, and Tom Griffiths
Proceedings of the International Conference on Knowledge Discovery and Data Mining, (KDD 2004)

Approximate Inference by Markov Chains on Union Spaces
Max Welling, Michal Rosen-Zvi and Yee Whye Teh,
Proceedings of the Twenty-First International Conference on Machine Learning, (ICML 2004)

Time series prediction by feedforward neural networks - is it difficult?

Michal Rosen-Zvi, Ido Kanter and Wolfgang Kinzel,

J. Phys. A: Math. Gen. 36: 4543-4550, (2003)

Mutual learning in a tree parity machine and its application to cryptography

Michal Rosen-Zvi, Einat Klein, Ido Kanter, and Wolfgang Kinzel

Phys. Rev. E 66, 066135 (2002)

Generalization and capacity of extensively large two-layered perceptrons

Michal Rosen-Zvi, Andreas Engel, and Ido Kanter

Phys. Rev. E 66, 036138 (2002)

Cryptography based on neural networks - analytical results,

Michal Rosen-Zvi, Ido Kanter and Wolfgang Kinzel,

J. Phys. A: Math. Gen. 35 L707 (2002)

Multilayer neural networks with extensively many hidden units,

Michal Rosen-Zvi, Andreas Engel and Ido Kanter,

Phys. Rev. Lett., 87, 078101, (2001).

Training a perceptron in a discrete weight space,

Michal Rosen-Zvi and Ido Kanter,

Phys. Rev. E., 64, 046109, (2001).

On-line learning in the Ising perceptron,

Michal Rosen-Zvi,

J. Phys. A: Math. Gen. 33, 7277, (2000).

Learnability of periodic activation functions: general results,

Michal Rosen-Zvi, Michael Biehl and Ido Kanter,

Phys. Rev. E. 58, 3606, (1998).

Frequency-domain photon migration in two-layered tissues,

Michal Rosen-Zvi and Haim Taitelbaum,

Optical Society of America, TOPS 3, 101 (1996).

Tech reports and submissions

Learning Author Topic Models from Text Corpora
Michal Rosen-Zvi, Thomas Griffiths, Mark Steyvers and Padhraic Smyth, submitted

On the Relationship between Deterministic and Probabilistic Directed Graphical Models

Pierre Baldi and Michal Rosen-Zvi, submitted

Approximate inference and the DLR equations
Michal Rosen-Zvi and Michael I. Jordan
Technical Report, University of California, Berkeley, (2003)

Papers Given:

A panel about “Knowledge Discovery and Dissemination”

The second conference on Intelligence and Security Informatics, ISI2004
Invited discussant, (2004).

“The Author-Topic Model: a Generative Model for Authors and Documents”

Mark Steyvers, Michal Rosen-Zvi, Tom Griffiths and Padhraic Smyth.

Workshop at NIPS 2003, (2003).

"Simple and chaotic time series: learning the rule versus prediction”,

Frontiers in the Physics of Complex Systems,

Dead Sea, Israel, (2001).

"Training a perceptron in a discrete weight space",

Statistical Mechanics of Information Processing in Cooperative Systems,

Max Planck Institute, Dresden, Germany, (2001).

"Learning of periodic activation function - general result",

International Seminar on Statistical Physics of Neural Networks,

Max Planck Institute, Dresden, Germany, (1999).

"Frequency-domain analysis of layered tissues".

Optical Topography and Spectroscopy of Tissues- Bios 97,

San-Jose, California, USA, (1997).

"Model of Photon Migration in Two-Region Slab-Like Tissues"

The 8th Mediterranean Conference on Medical and Biological Engineering

Jerusalem, Israel, (1997).

"Frequency-domain analysis of photon migration in layered tissues".

The 7th Mediterranean Conference on Medical and Biological Engineering

Jerusalem, Israel, (1995).

Professional Activities

Program Committee member of the 21^st Conference on Uncertainty in Artificial Intelligence, UAI 2005.

Reviewer of the 19^th International Joint Conference in Artificial Intelligence, IJCAI 2005.

Program Committee member of the 10^th international workshop on artificial intelligence and statistics, AISTAT 2005.

Reviewer of the 20^th Conference on Uncertainty in Artificial Intelligence UAI 2004.

Ad hoc Reviewer: Bayesian Analysis Journal, Neural Network Journal,

IEEE Transactions on Computers.

Awards:

1992 Departmental award for excellence - B.Sc. degree

1995 Departmental award for excellence - M.Sc. degree

1996 Rector's award for excellence

1997 Memorial scholarship - in the name of Otto Schwartz

1998 Prize for excellency in teaching

2000 Rector's award for excellence

2004 Lady Davis Postdoctoral Fellowship (declined)

2005 Yeshaia Horvitz Association Scholarship in Complexity Science