Machine Computer Science

Mouhamadou Moustapha Cisse

Universit Pierre et Marie Curie (UPMC)

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Laboratoire Informatique Paris 6 (LIP6)

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Citizenship : Senegalese

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Phone number (mobile) : +33 6 24 67 26 94

E-mail : *****@******.****.**

Education

October 2010 - Present PhD candidate in machine learning advised by Professor Pa-

trick Gallinari and Professor Thierry Artieres Expected gra-

duation on spring 2014 Machine learning department of LIP6

2008–2010 Master in computer science Artificial intelligence and decision theory

specialization (with honours) University of Pierre et Marie Curie

(Paris)

2007–2008 Master (Maitrise) in software engineering (with honours) Uni-

versity Gaston Berger (Senegal)

2004–2007 Bachelor in Mathematics and computer science (with honours)

University Gaston Berger (Senegal)

Research experience/Projects

Since October 2010 PhD candidate in machine learning advised by Professor Pa-

trick Gallinari and Professor Thierry Arti`res We work on

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reducing the inference complexity of extreme classification. We have

proposed solutions for both the single and the Multilabel cases. Ma-

chine learning department LIP6-UPMC

Summer 2010 Research internship supervised by Professor Thierry Artieres

We worked on Training time reduction of deep neural networks by

using random projections. Machine learning department UPMC-

LIP6

Winter 2010 Research project in machine learning supervised by Professor

Yoshua Bengio (exchange semester) We improved Handwrit-

ten character recognition by using out of sample distribution data

in unsupervised training of deep neural networks (work published in

JMLR). Machine learning department (LISA, University of Mon-

treal)

Summer 2009 Research internship supervised by Professor Ryutaro Ichise Ap-

plied machine learning methods for semantic integration of structu-

red documents using linked data information. National Institute of

informatics (Tokyo-Japan)

Publications

2013 Robust Bloom Filters for Large Multilabel Classification Tasks

Moustapha Ciss , Nicolas Usunier, Thierry Arti`res, Patrick Gallinari

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Neural Information Processing Systems (NIPS), 2013 Lake Tahoe,

USA

2012 Learning Compact Class Codes for Fast Inference in Large

Multi Class Classification

Moustapha Ciss , Thierry Arti`res, Patrick Gallinari

e e European

Conference on Machine Learning (ECML/PKDD), 2012 Bristol, UK

2011 Deep Learners Benefit More from Out-of-Distribution

Examples

Yoshua Bengio, et al. AISTATS 2011 - Journal of machine learning

research C&WP Florida, USA

2010 Deep Self Taught Learning for Handwritten Digit Recognition

Yoshua Bengio, et al. NIPS 2010 Deep Learning Workshop Van-

couver, Canada

Research interests

Machine Learning, Extreme Classification, Algorithms, Deep Neural Networks, Embedding, Information

Retrieval.

Teaching(UPMC)

Bachelor level : Li215 Advanced programming in C

Li214 Algorithms and data structures

Li345 Database management systems and XML

Programming Skills

Programming languages : Python, C/C++

Modelling : UML.

Databases and knowledge representation : SQL3, XML

Scientific Tools : Numpy/Scipy, Matlab

Fluency in English, French and Wolof (Senegalese), Spanish (functional)

Others

2012 IPAM Deep Learning Graduate Summer School

UCLA, California-USA

2011 Machine Learning Summer School

Bordeaux, France

2010-2013 Merit Based French Ministry of Research Scolarship For PhD

studies

2009-2010 Merit Based Senegalese Government Scolarship for Graduate

Studies

Contact this candidate