Picture of Hugo Cisneros

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
[email protected]

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 Paris-Saclay. 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.



, ,
Preserving Semantics in Textual Adversarial Attacks
In (Pre-print), 2022.
A simple sentence encoder based on multiple words level embeddings to improve the quality of textual adversarial attacks.
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Benchmarking Learning Efficiency in Deep Reservoir Computing
In Proceeding of the 1st Conference on Lifelong Learning Agents (CoLLAs), 2022.
Defines a metric of learning efficiency for machine learning models and a benchmark of progressively more difficult language tasks for measuring learning efficiency.
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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.
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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.