Antoine Cornuéjols

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  Professeur

AgroParisTech (Formerly INA-PG)
Dept. MMIP (Modélisation Mathématique, Informatique et Physique)
16, rue Claude Bernard
75005 Paris Cedex (France)

Tel     :  +33 (0)1-44-08-72-29
email   :  antoine.cornuejols [at] agroparistech.fr

Chercheur au LRI

Bureau  :  93
Tel     :  +33 (0)1-69-15-63-00
email   :  antoine [at] lri.fr

Research
Papers
Courses (in French) Links Research contracts Culture

Positions

and traineeships

 

I am Full Professor in Computer Science at AgroParisTech (INA-PG), associated with the "Modélisation Mathématique, Informatique et Physique" (MMIP) research department, and a corresponding member of the TAO research team at LRI (Laboratoire de Recherche en Informatique) at the Université de Paris-Sud, Orsay (France). My fields of research lie in Machine Learning, data mining and Cognitive Science. I am specially interested in the following topics :

 

 

The dynamics of learning
 
  • Ordering effects in sequential learning
    • What parameters determine the effects of order on learning ?
    • Which kind of learners are order insensitive ?
  • Teachability
    • How to best order a data sequence for a specific goal ?
    • Which data should be presented ?
    • In which order ?
    • At which speed ?
 

Transfer of information
 
  • Analogical reasoning
    • Which foundations for analogical reasoning ?
    • Which links with inductive reasoning ?
  • Learning of new conceptual domains
    • Which articulationswith known domains allow to learn a new conceptual domain ?
    • How a conceptual domain in the learning come to get integrated with other conceptual domains ?
  • What are the effects of limited transmission bandwith in a collection of learning agents ?
 

Influence of language on learning
 
  • What is the influence of language on learning new knowledge ?
  • How is inductive supervised learning affected by the description language ?
    • What explanation for phase transitions in supervised learning ?
    • How to alleviate these with changes of representation language ?
 

Applications in data mining
 
  • Feature selection in high-dimensional data space
    • Specially in the context of genomics and microarrays
    • Combination of weak selection methods
    • Active methods for feature selection
  • Applications with imbalanced data sets and asymetrical labelling noise
    • E.g; for applications on heart risk
    • E.g. for applications in robotics
   

 

I am fortunate to work with a group of talented Ph.D students:

Lou FEDON
PhD. student since Sept. 2006
    

   Incremental learning and the study of new types of learning by playing on ordering effects and on forgetting.

 
Romaric GAUDEL
PhD. student since Sept. 2006
 (co-directed (50%) with M. Sebag)  

   Combining methods for feature selection. Study of Multiple-Instance Learning with kernel methods.

 
Marie GUEGAN
PhD. student since Sept. 2006
 (co-directed (50%) with B. Haber)  

   Study of the dynamics of large knowledge networks, such as Wikipedia.

 
Christine MARTIN
PhD. student since Sept. 2004
 (co-directed (50%) with P. Bourgine)  

   Helping the search for relevant sites for the docking of proteins with vritual reality and a zest of machine learning.

 
Arpad RIMMEL
PhD. student since Sept. 2006
 (co-directed (50%) with M. Sebag)  

   Study of learning methods for the QSAR problem (determination of the bioactivity of molecules).

   Study of new methods for playing Go.

 
Raymond ROS
Ph.D student since Sept. 2005
 (co-directed (50%) with M. Sebag)  

   Study of the phase transition phenomenon in inductive learning and of means to cope with it.

   Study of stochastic processes in optimization techniques.

 

 

We had an open position for a 6 month training period at AgroParisTech starting in March 2007 on "Categorization by Machine Learning".

We should have new opportunities for training periods soon.

 

Research
Papers
Courses (in French) Links Research contracts Culture