I'm fascinated by how the mind takes in information from our senses, specifically 2D retinal images, and extracts only what it needs to solve the task at hand. How it does so much with so little energy.
At the moment, I study how we represent this information and how we can apply some of the same principles in our perception algorithms.
Application scenarios cover the fields of human action prediction, intuitive physics, planning and other related prediction tasks.
Currently, I'm pursuing my Ph.D in joint supervision by prof. Katerina Fragkiadaki at the Machine Learning Department at CMU in Pittsburgh and prof. José Santos-Victor at the Institute for Systems and Robotics in Lisbon.
"What I cannot create, I do not understand." - R. Feynman
Computer Vision, Disentangled Representation Learning, Topological Representations, Self-Supervised Learning, Generative Models, Bayesian Learning, Language Grounding, Cognitive Robotics, Robotics
Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction
Paul Schydlo, Mirko Rakovic, Lorenzo Jamone, José Santos-Victor
International Conference on Robotics and Automation (ICRA) 2018
- RLenv.directory: Index of 120+ open source reinforcement learning environments. RLenv.directory
- Human Action Anticipation Framework: Flexible Tensorflow model for learning discrete distributions over future human actions. github.com/pschydlo/ActionAnticipation
- Reinforcement Learning From Scratch: Implementation of reinforcement learning algorithms from tabular Q learning to PPO in PyTorch. Repository link TBA.
- Lab Instructor Lisbon Machine Learning Summer School, Lisbon, 2019
- Instructor Lisbon Data Science Starters Academy, Lisbon, 2018
- Workshop Lead Machine Learning Academy, Lisbon, 2017
- Lab Instructor Lisbon Machine Learning Summer School, Lisbon, 2017
- Best National Master Thesis Portuguese Robotics Society, 2017
- Academic Merit Diploma, 2012-2017
- National Mathematics Olympics Semi-Final, 2006
- Anticipation in Human Robot Cooperation, SEEEP (Sino-European Engineering Education Platform) Doctoral Programs Workshop on Robotics and Interaction, IST, 2019
2019 - Present Carnegie Mellon University, Pittsburgh
Machine Learning Department, Ph.D Co-Supervision by prof. Katerina Fragkiadaki.
2019 - Present Instituto Superior Técnico, Lisbon, Portugal
Ph.D. Electrical and Computer Engineering, Supervised by prof. José Santos-Victor and prof. Katerina Fragkiadaki from CMU
2015 Technical University Delft, Netherlands
M.Sc. Systems and Control, Erasmus exchange semester
2012-2017 Instituto Superior Técnico, Lisbon, Portugal
Integrated M.Sc. Electrical and Computer Engineering, major in Systems, Decision and Control