Luca Scimeca
Scholar

Luca Scimeca

Google Scholar ID: fKJvAvMAAAAJ
Postdoctoral Research Fellow at Mila AI Institute
Deep LearningComputer VisionProbabilistic InferenceScientific DiscoveryRobotics
Citations & Impact
All-time
Citations
933
 
H-index
16
 
i10-index
20
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Publication: Unlocking the Power of Diffusion Models: A Dive into Relative Trajectory Balance
  • Publication: Shortcut Learning in Deep Neural Networks. Which cues will your model choose to learn?
  • Publication: Robotics Palpation
  • Publication: Bayesian Exploration for Morphology-Action Co-optimization
  • Publication: Dynamic Robot Control for Expressive Piano Playing
  • Publication: Coding with Neural Networks
Background
  • I am a Postdoctoral Research Fellow in Yoshua Bengio's group, at the Mila AI Institute. My current work focuses on generative AI and probabilistic inference as well as AI applications to drug discovery and robotics. I am also interested in the topics of learning representations, bias, and generalization in deep models.
Miscellany
  • Very enthusiastic about the impact of machine learning in the sciences and engineering. Involved in several domains including Vision, Computational Biology (deep RL, bio-sequence design), Robotics (Visual and Tactile action/perception, multi-modal time series), and even Astrophysics (lensing/inverse problems).