Journal papers and Book Chapters

Rich cell-type-specific network topology in neocortical microcircuitry
Eyal Gal, Michael London, Amir Globerson, Srikanth Ramaswamy, Michael W Reimann, Eilif Muller, Henry Markram & Idan Segev
Nature Neuroscience 20, 1004-1013, 2017

Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
Yonatan Belinkov, Tao Lei, Regina Barzilay, and Amir Globerson
Transactions of the Association for Computational Linguistics (TACL), December 2014.

Smoothed Coordinate Descent for MAP Inference
Ofer Meshi, Tommi Jaakkola and Amir Globerson
Book chapter in Advanced Structured Prediction, editors S. Nowozin, P. V. Gehler, J. Jancsary, C. Lampert, MIT Press, 2014 .

Time Varying Autoregressive Moving Average Models
Ami Wiesel, Ofir Bibi and Amir Globerson
IEEE Transactions on Signal Processing. Vol. 61(11), pages 2791-2801, June 2013.

Introduction to Dual Decomposition for Inference
David Sontag, Amir Globerson and Tommi Jaakkola
Book chapter in Optimization for Machine Learning, editors S. Sra, S. Nowozin, and S. J. Wright: MIT Press, 2011.

The Minimum Information Principle and its Application to Neural Code Analysis
Amir Globerson, Eran Stark, Eilon Vaadia and Naftali Tishby
Proceedings of the National Academy of Sciences, March 3, 2009 vol. 106 no. 9 pp. 3490-3495.

Past-future Information Bottleneck in Dynamical Systems
Felix Creutzig, Amir Globerson, and Naftali Tishby
Physical Review E, 79(4), 2009 .

Correlations between Groups of Premotor Neurons Carry Information about Prehension
Eran Stark, Amir Globerson, Itay Asher and Moshe Abeles
Journal of Neuroscience, 28(42):10618-10630, 2008.

Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, and Peter Bartlett
Journal of Machine Learning Research 9 (June), p. 1775-1822, 2008.

Gaussian Information Bottleneck
Gal Chechik, Amir Globerson, Naftali Tishby and Yair Weiss
Journal of Machine Learning Research 6 (Jan), p.165-188, 2005.

Euclidean Embedding of Co-Occurrence Data
Amir Globerson, Gal Chechik, Fernando Pereira and Naftali Tishby
Journal of Machine Learning Research 8 (Oct), p.2265-2295, 2007.

Sufficient Dimensionality Reduction
Amir Globerson and Naftali Tishby
Journal of Machine Learning Research 3 (Mar), Special Issue on Variable and Feature Selection, p.1307-1331, 2003.