Pietro Berkes

According to our database, Pietro Berkes authored at least 14 papers between 2002 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Discovering Customer Journey Maps using a Mixture of Markov Models.

Matthieu Harbich, Gaël Bernard, Pietro Berkes, Benoît Garbinato, Periklis Andritsos

Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), 2017

2013

Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing.

Niko Wilbert, Tiziano Zito, Rike-Benjamin Schuppner, Zbigniew Jedrzejewski-Szmek, Laurenz Wiskott, Pietro Berkes

J. Comput. Sci., 2013

2011

Slow feature analysis.

Laurenz Wiskott, Pietro Berkes, Mathias Franzius, Henning Sprekeler, Niko Wilbert

Scholarpedia, 2011

Select and Sample - A Model of Efficient Neural Inference and Learning.

Jacquelyn A. Shelton, Jörg Bornschein, Abdul-Saboor Sheikh, Pietro Berkes, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009

A Structured Model of Video Reproduces Primary Visual Cortical Organisation.

Pietro Berkes, Richard E. Turner, Maneesh Sahani

PLoS Comput. Biol., 2009

No evidence for active sparsification in the visual cortex.

Pietro Berkes, Ben White, József Fiser

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Modular toolkit for Data Processing (MDP): a Python data processing framework.

Tiziano Zito, Niko Wilbert, Laurenz Wiskott, Pietro Berkes

Frontiers Neuroinformatics, 2008

Characterizing neural dependencies with copula models.

Pietro Berkes, Frank D. Wood, Jonathan W. Pillow

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

On Sparsity and Overcompleteness in Image Models.

Pietro Berkes, Richard E. Turner, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Temporal slowness as an unsupervised learning principle

Pietro Berkes

PhD thesis, 2006

What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?

Tobias Blaschke, Pietro Berkes, Laurenz Wiskott

Neural Comput., 2006

On the Analysis and Interpretation of Inhomogeneous Quadratic Forms as Receptive Fields.

Pietro Berkes, Laurenz Wiskott

Neural Comput., 2006

2005

Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis.

Pietro Berkes

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2002

Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties.

Pietro Berkes, Laurenz Wiskott

Proceedings of the Artificial Neural Networks, 2002