Previous Invited Speakers
The researchers below were distinguished invited speakers at previous DeLTA conferences.
We are indebted to them for their contribution to heighten the conference level.
2024 | 2023 | 2022 | 2021 | 2020
2024
Past, Present, Future, and Far Future of AI 
Jürgen Schmidhuber, KAUST AI Initiative, Kingdom of Saudi Arabia; Swiss AI Lab IDSIA, Switzerland and NNAISENSE, Switzerland New Synergies Between Deep Learning and Kernel Machines Johan Suykens, KU Leuven, Belgium
2023
Pervasive AI: (deep) Learning into the Wild Davide Bacciu, University of Pisa, Italy Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies Luís Paulo Reis, University of Porto, Portugal
2022
Deep Learning Methods for Human Posture Estimation Ioannis Pitas, Aristotle University of Thessaloniki, Greece “Deep Internal Learning”: Deep Learning and Visual Inference without Prior Examples Michal Irani, Weizmann Institute of Science, Israel Ethical Creation of Ethical Data João Freitas, PagerDuty, Portugal
2021
More than Meets the Eye: Towards an Artificial Intelligence Observatory Matias Carrasco Kind, University Illinois Urbana Champaign, United States Deep Learning for Biometric Systems: Applications and Trends Fabio Scotti, Universita degli Studi di Milano, Italy Leveraging Deep Learning for Mental Health Promotion Elisabeth André, University of Augsburg, Germany What is Common between Negative Transfer, Uncertainty and Food Recognition? Petia Radeva, Universitat de Barcelona, Spain
2020
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis Petia Radeva, Universitat de Barcelona, Spain 3D Scene Understanding from a Single Image Vincent Lepetit, École des Ponts ParisTech, France