Mateusz Ochal

Mateusz Ochal

PhD Candidate at Edinburgh Centre for Robotics

About Me

I am a 2nd year PhD student (and 3rd year CDT student) at Edinburgh Centre for Robotics - a joint AI research centre between the University of Edinburgh and Heriot-Watt University, UK. I specialize in Few-Shot Learning, Meta-Learning, and Computer Vision algorithms and their real-world application for autonomous robots and systems.

My research is supervised by Dr Sen Wang and Prof Yvan Petillot from Heriot-Watt University, and jointly funded by SeeByte Ltd and EPSRC. I also work closely with Prof Amos Storkey and the BayesWatch research group at the University of Edinburgh.

During my undergrad, I also worked with Prof Seb Stein, Dr Enrico Gerding from the University of Southampton, merging mechanism design and Reinforcement Learning for fair online resource allocation in computational clouds and clusters.

Education

2019-Now

PhD in Robotics and Autonomous Systems

To be awarded by the University of Edinburgh and Heriot-Watt University (as part of RAS-CDT).

2018-2019

MSc in Robotics and Autonomous Systems

Awarded by Heriot-Watt University (as part of RAS-CDT).
My MSc dissertation examined Few-Shot Learning methods on underwater optical and sonar images.

2015-2018

BSc in Computer Science

Awarded by the University of Southampton, UK.
My BSc dissertation supervised by Dr Markus Brede focused on cooperation in Multi-Agent Reinforcement Learning.

Publications

Ochal, Mateusz, Massimiliano Patacchiola, Amos Storkey, Jose Vazquez, and Sen Wang.
"How Sensitive are Meta-Learners to Dataset Imbalance?"
ICLR Workshop on Learning to Learn. 2021.

Ochal, Mateusz, Massimiliano Patacchiola, Amos Storkey, Jose Vazquez, and Sen Wang.
"Few-Shot Learning with Class Imbalance."
arXiv preprint arXiv:2101.02523. 2021.

Antoniou, Antreas, Massimiliano Patacchiola, Mateusz Ochal, and Amos Storkey.
"Defining Benchmarks for Continual Few-Shot Learning."
NeurIPS Workshop on Meta-Learning (MetaLearn). 2020.

Ochal, Mateusz, Jose Vazquez, Yvan Petillot, and Sen Wang.
"A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification."
Global Oceans 2020: Singapore – U.S. Gulf Coast. 2020.

Stein, Sebastian, Mateusz Ochal, Ioana-Adriana Moisoiu, Enrico Gerding, Raghu Ganti, Ting He, and Tom La Porta.
"Strategyproof reinforcement learning for online resource allocation."
In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. 2020.

Ochal, Mateusz, Sebastian Stein, Fan Bi, Matthew Cook, Enrico Gerding, Ting He, and Thomas La Porta.
"Online Mechanism Design using Reinforcement Learning for Cloud Resource Allocation."
AAMAS-IJCAI Workshop on Agents & Incentives in AI (AI^3). 2018.

Contact

Feel free to contact me!
Especially if you want to discuss my research or career opportunities!

m.ochal@hw.ac.uk