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  • MLG Fulbright student wins RCSB PDB Poster prize at ISMB/ECCB 2015

    Ashley Conard, Fulbright and BAEF student working with Elisa Cilia and Tom Lenaerts, won the RCSB PDB poster prize at ISMB/ECCB 2015.  More information can be found on : https://www.iscb.org/ismbeccb2015-program/award-winners   

  • MLG seminar - Context-sensitive Ordinal Regression Models for Human Facial Behaviour Analysis

    On July 8, 2015 a seminar will be presented by Ognjen Rudovic with the title "Context-sensitive Ordinal Regression Models for Human Facial Behaviour Analysis". This seminar will take place on the ULB campus, building NO, 8th floor, P.2NO8.08 at 11:30.

  • New MLG publication in Nature's Scientific Reports

    Why do we apologize? Why do we forgive? Would it not simply be better to end a relationship that is failing, even when it has been and still can be beneficial?  In a mathematical investigation, Luis Martinez-Vaquero and Tom Lenaerts of MLG show, in collaboration with international colleagues The Anh Han (U. Teesside, UK) and Luís Moniz Pereira (UNL, Portugal), that revenge, apology and forgiveness may actually have been shaped by evolution to deal with just such situations. Moreover, analysis shows that an apology actually needs to be sincere as otherwise the mechanism for sustained cooperation fails, leading either to revenge or to non-cooperative strategies. This work has been now reported in Nature’s multi-disciplinary open access journal Scientific Reports.  Article available via website Scientific Reports

  • [PhD Public defense] A Machine Learning Approach for Automatic and Generic Side-Channel Attacks

    Public defense of the PhD thesis of Liran Lerman entitled "A Machine Learning Approach for Automatic and Generic Side-Channel Attacks" and supervised by Prof. Gianluca Bontempi and Prof. Olivier Markowitch. The defence (in french) will take place at the Université libre de Bruxelles (in the La Plaine, N-O building, 5th floor, Salle Solvay) on Wednesday, June 10, at 16:30. Abstract: The pervasive presence of interconnected devices has lead to a massive interest in security features provided among others by cryptography. For decades, designers estimated the security level of a cryptographic algorithm independently of its implementation in a cryptographic device viagra for sale uk. However, since the publication on implementation attacks in 1996, the physical attacks have become an active research area by analysing physical leakages measured on the target cryptographic device. In this work, we focus on profiled attacks that were introduced as the most efficient class of strategies in order to evaluate the physical leakages of cryptographic devices. The traditional profiled attacks apply parametric methods in which a priori information on the physical properties is assumed. Machine learning represents an active research area that allows producing automatic and generic models requiring no a priori information on the underlying phenomenon. The purpose of this presentation is to shed new light on the capabilities of learning models for physical analysis.

  • Publication in Scientific Reports

    New research by Tom Lenaerts and former MLG member The Anh Han in collaboration with Luís Moniz Pereira and Francisco C. Santos provides new insight into the synergy between intention recognition and contractual commitments for promoting cooperative behaviour. The research employs game theory methods and agent-based computer simulations to investigate mechanisms that underpin cooperation in differently composed societies.

     

    High levels of cooperation can be achieved if reliable agreements can be arranged. Formal commitments, such as contracts, promote cooperative social behaviour if only they can be sufficiently enforced and the costs and time to arrange them provide mutual benefit.  However, should these constraints not be met, free behaviour leads to the prevalence and dominance of commitment free-riders, namely by those who commit just in case someone else pays to arrange the commitment, and by those who do not suffer severe penalty when dishonoring established agreement.  In addition, formal commitments such as contracts might not be appropriate however to every social interaction.

     

    On the other hand, an ability to assess intention in others has been demonstrated to play a promoting role for the emergence of cooperation.  Though recognizing an intention cannot always be achieved with high enough confidence to base any decision on it. But an ability to assess intention in others, if based on previous experience and available observations at hand, facilitates cooperative behaviour without needing to resort to formal commitments like contracts.

     

    The research found that a synergy between intention recognition and commitment depends strongly on the confidence and accuracy of the intention recognition. To reach high levels of cooperation, commitments may be unavoidable if intentions cannot be assessed with sufficient confidence and accuracy.  Otherwise, it is advantageous to wield intention recognition in order to avoid arranging costly commitments.

     

    The full article is available online in  Nature’s Open Access journal Scientific Reports: http://www.nature.com/srep/2015/150320/srep09312/full/srep09312.html

      

  • MLG seminar - An hands-on introduction to probabilistic programming

    On October 30, 2014 a seminar will be presented by Manuel Pegalajar Cuéllar with the title "An hands-on introduction to probabilistic programming". This seminar will take place on the ULB campus, building NO, 8th floor, 2NO8.08 at 3PM (until 5 PM). 

  • MLG seminar - Nonlinear forecasting of macroeconomic variables using three automated model selection techniques

    On September 25, 2014 a seminar will be presented by Timo Terasvirta with the title "Nonlinear forecasting of macroeconomic variables using three automated model selection techniques". This seminar will take place on the ULB campus, building NO, 7th floor, 2NO7.08 at 12:30 (until 1:30 PM).

  • Solvay Award to Catharina Olsen

    Catharina Olsen received the prestigious Solvay Award for her PhD Thesis in Computer Science

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