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1
Controlling the Output of a Generative Model by Latent Feature Vector Shifting
State-of-the-art generative models (e.g. StyleGAN3) often generate photorealistic images based on vectors sampled from their latent …
Robert Belanec
,
Peter Lacko
,
Kristína Malinovská
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DOI
DISA 2023
Merge, Explain, Iterate: A Combination of MHS and MXP in an ABox Abduction Solver
Classical neural networks achieve only limited convergence hard problems such as XOR or parity when the number of hidden neurons is …
Martin Homola
,
Júlia Pukancová
,
Janka Boborová
,
Iveta Balintová
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DOI
Spike Up Prime Interest in Science and Technology Through Constructionist Games
Robotics sets have been successfully used in elementary and secondary schools in conformance with the ’learning through …
Pavel Petrovič
,
Fedor Agarshev
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DOI
EDULEARN
Using Programmable Drone in Educational Projects and Competitions
The main stream of educational robotics platforms orbits the various versions of versatile robotics sets and kits, while interesting …
Pavel Petrovič
,
Peter Verčimák
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DOI
EDULEARN
Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot
Addressee Estimation is the ability to understand to whom a person is talking, a skill essential for social robots to interact smoothly …
Carlo Mazzola
,
Francesco Rea
,
Alessandra Sciutti
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DOI
arXiv
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