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PhD Student

Centre de recherche Inria de Paris
2 rue Simone IFF

75012 Paris, France

Czech Institute of Informatics, Robotics and Cybernetics
Jugoslávských partyzánů 1580/3

160 00 Prague 6, Dejvice, Czech Republic

Short Bio

I am a third year PhD student at the Czech Institute for Informatics, Robotics and Cybernetics (CIIRC, CTU in Prague), part of the Impact Project, and the Willow team, INRIA/ENS. I am conducting my PhD under the supervision of Tomas Mikolov (CIIRC, CTU in Prague) and Josef Sivic (CIIRC, Inria and ENS Paris). Previously, I got a Master’s degree in Mathematics, Vision, and Machine learning from École Normale Supérieure de Cachan. Before that, I got a Master’s degree in Engineering with a major in Computer Science at Mines ParisTech.

My research focuses on the development of unsupervised machine learning algorithms capable of innovation and adaptation. I study complex systems like cellular automata and open-ended evolution.

I am generally interested in the emergence and growth of complexity in dynamical systems and how this could lead to open-ended evolving systems. During the first two years of my PhD, I have studied cellular automata and their continuous extensions as they are general and simple yet capable of surprisingly complex emergent behaviors.



Benchmarking Learning Efficiency in Deep Reservoir Computing
In Proceeding of the 1st Conference on Lifelong Learning Agents (CoLLAs), 2022.
Introduces a metric of learning efficiency for machine learning models and a benchmark of progressively more difficult language tasks.
Visualizing computation in large-scale cellular automata
In Artificial Life Conference Proceedings, 2020.
Introduces novel reduction methods for processing large-scale complex systems. This enables discovering interesting patterns at multiple scales.
Evolving Structures in Complex Systems
In Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence, SSCI, 2019.
Introduces a new metric of increasing complexity for cellular automata and other systems.