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Research themes

  • Statistical learning: generalisation bounds, concentration inequalities, kernel methods, deep learning
  • Grammatical inference: stochastic rational languages (on strings and trees), weighted automata, learnable grammars
  • Multimedia and Neurosciences applications: multiview learning, semi-supervised learning, ranking, challenge, deep learning
  • Signal processing (with the signal and image processing group of I2M): we work on drawing connections between machine learning and signal processing (algorithms, theory, etc)

Ongoing projects

ANR Projects

  • 2017-2020, ANR DIP: "Deep In France: Réseaux de neurones profonds pour l'apprentissage"
  • 2016-2019, ANR LIVES: "Cross-view Learning: theory, algorithms and benchmarks"
  • 2015-2018, ANR MAD: "Inpainting of Missing Audio Data"

EU Projects

  • 2016-2017, SEE.4C: "SpatiotEmporal ForEcasting: Coopetition to meet Current Cross-modal Challenges"

Short Projects

Terminated Projects

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