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Videos and messages to the French-German Summer School with Industry 2020

Machine Learning – AI Engineering- AI for Good

Wednesday 24 June 2020 – 100% online!


French and German authorities

soon available

Scientific videos from academic researchers
  • Mounir Atiq, Genetic algorithm for budget learning on random forests using genome reduction techniques.
  • Alejandro de la Concha,  Offline detection of change-points in the mean for stationary graph signals.
  • Antoine de Mathelin,  Transfer Learning for Design Space Exploration. Application to industrial product design.
  • Nestor Demeure,  AI augmented linear solvers: using machine learning to predict the convergence profile of a linear solver.
  • Mathilde Fekom,  Sequential control of network processes.
  • Sothea Has, A clusterwise supervised learning procedure based on aggregation of distances. Applications on air compressor and turbine data.
  • Pierre Humbert, Low rank activations for tensor-based convolutional sparse coding.
  • Argyris Kalogeratos, Winning the competition: enhancing counter-contagion in behavioral epidemic processes.
  • Batiste Le Bars, Change-point detection in a time-varying Ising model.
  • Anthea Mérida, Model pre-selection method using Neural Decision Trees.
  • Ludovic Minvielle, Step detection with convolutional models.
  • Théo Saillant, Weighting method for online estimators applied to HPC job power consumption estimation from submission data.
  • Charles Truong, Recent advances in change point detection.

Industrial players

Atos, Bertin (tbc), Banque de France (tbc), SNCF

NIPS likes MLMDA

MLMDA will present latest results at NIPS’15 in Montréal from 7 to 12 December:

Regular session:

  • Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks.
    Kevin Scaman, Rémi Lemonnier, Nicolas Vayatis.
  • Cornering Stationary and Restless Mixing Bandits with Remix-UCB.
    Julien Audiffren, Liva Ralaivola.

Workshops:

  • Workshop on “Networks in the Social and Information Sciences”
    Learning to Suppress SIS Epidemics in Networks.
    Argyris Kalogeratos, Kevin Scaman, and Nicolas Vayatis.
  • Workshop on “Bayesian Optimization: Scalability and Flexibility”,
    Optimization for Gaussian Processes via Chaining.
    Emile Contal, Cédric Malherbe, and Nicolas Vayatis.
  • Workshop on “Nonparametric Methods for Large Scale Representation Learning”
    Distributed Convolutional Sparse Coding via Message Passing Interface.
    Thomas Moreau, Laurent Oudre, and Nicolas Vayatis.