Luca Scimeca

Research Fellow at Mila AI Institute

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Author: Luca Scimeca

I am a Postdoctoral Research Fellow in Yoshua Bengio's group, at the Mila AI Institute. My current work focuses on learning representations, domain understanding, and generalization in deep models, as well as applications to drug discovery and robotics. I am a former Postdoctoral Fellow at Harvard, where I worked with Dr. Ming-Ru Wu on the application of AI in the biomedical field; a visiting research scientist at Never AI Labs working on robustness, and generalization in deep neural networks; and a former Postdoctoral Research Associate and Ph.D. Candidate at the University of Cambridge, where I worked with Prof. Fumiya Iida on machine learning for sensory perception and action in robotics systems. I received my BEng in Artificial Intelligence and Software Engineering in 2017 from the University of Edinburgh, where I graduated summa cum laude, obtaining the Class Award and Howe Prize as well as over 13 awards, 9 of which paid scholarships, for academic performance.
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Unlocking the Power of Diffusion Models: A Dive into Relative Trajectory Balance

  • by Luca Scimeca
  • Posted on June 20, 2024July 9, 2024
  • Academic Paper

Shortcut Learning in Deep Neural Networks. Which cues will your model choose to learn? (ICLR 2022)

  • by Luca Scimeca
  • Posted on July 31, 2023June 26, 2024
  • News Article

Da Palermo ad Harvard e la ricerca sul cancro: la storia di Luca Scimeca

  • by Luca Scimeca
  • Posted on July 11, 2022July 11, 2022
  • News Article

Introducing RoboPatient – a soft robotics approach to training doctors

  • by Luca Scimeca
  • Posted on September 5, 2021September 5, 2021
  • Academic Paper

Gaussian process inference modelling of dynamic robot control for expressive piano playing

  • by Luca Scimeca
  • Posted on August 14, 2020November 11, 2020
  • Academic Paper

Structuring of tactile sensory information for category formation in robotics palpation

  • by Luca Scimeca
  • Posted on July 29, 2020November 11, 2020
  • Academic Paper

Efficient Bayesian Exploration for Soft Morphology-Action Co-optimization

  • by Luca Scimeca
  • Posted on May 15, 2020November 11, 2020

Luca Scimeca

Curriculum Vitae 

Recent Posts

  • Unlocking the Power of Diffusion Models: A Dive into Relative Trajectory Balance
  • Shortcut Learning in Deep Neural Networks. Which cues will your model choose to learn? (ICLR 2022)
  • Da Palermo ad Harvard e la ricerca sul cancro: la storia di Luca Scimeca
  • Introducing RoboPatient – a soft robotics approach to training doctors
  • Gaussian process inference modelling of dynamic robot control for expressive piano playing
  • Linkedin
  • Orcid
  • Scholar
  • Bitbucket
  • Github
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