Deep Learning and Representation Learning

Aleksandra Pizurica

Bart Dhoedt

  • Deep Reinforcement learning
  • Representation learning
  • Active Inference

Bart Goossens

  • Image restoration

Bernard De Baets

  • Automated multi-target prediction
  • Deep feature fusion
  • Metric learning

Bert De Coensel

  • Auditory scene analysis

Chris Develder

  • Natural language processing

Dirk Van den Poel

Els Lefever

  • Word and sense embeddings

Filip De Turck

  • Knowledge graph embeddings

Francis wyffels

Haosheng Huang

  • Geospatial AI (GeoAI)
  • Hybrid models
  • Visual intelligence

Joni Dambre

  • Multimodal representation learning
  • Embodiment

Nico Van de Weghe

  • Geospatial AI (GeoAI)
  • Hybrid AI

Sarah Verhulst

Sofie Van Hoecke

  • Deep learning for predictive maintenance and predictive healthcare

Tijl De Bie

  • Network embedding
  • Nonlinear dimensionality reduction

Tony Belpaeme

  • Social signal processing
  • Category and concept learning

Vanessa Vermeirssen

Willem Waegeman

  • Multi-target prediction
  • Sequence models and time series analysis

Yvan Saeys