Person
Nikolaos Karalias
This person is no longer with EPFL
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Related publications (4)
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Probabilistic methods for neural combinatorial optimization
The monumental progress in the development of machine learning models has led to a plethora of applications with transformative effects in engineering and science. This has also turned the attention of the research community towards the pursuit of construc ...
EPFL2023Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
Andreas Loukas, Nikolaos Karalias
Integrating functions on discrete domains into neural networks is key to developing their capability to reason about discrete objects. But, discrete domains are (I) not naturally amenable to gradient-based optimization, and (II) incompatible with deep lear ...
2022Partition and Code: learning how to compress graphs
Michael Bronstein, Andreas Loukas, Nikolaos Karalias, Georgios Bouritsas
Can we use machine learning to compress graph data? The absence of ordering in graphs poses a significant challenge to conventional compression algorithms, limiting their attainable gains as well as their ability to discover relevant patterns. On the other ...
2021