Neural and Evolutionary Computing

To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Communicating shapes our social word. For a robot to be considered social and being consequently integrated in our social environment …
Cite DOI ICJNN 2023
Tuning-less Object Naming with a Foundation Model
We implement a real-time object naming system that enables learning a set of named entities never seen. Our approach employs an …
PDF DOI arXiv
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
Application of neural networks in industrial settings, such as automated factories with bin-picking solutions requires costly …
DOI ICANN 2023
QuasiNet: a Neural Network with Trainable Product Layers
Classical neural networks achieve only limited convergence in hard problems such as XOR or parity when the number of hidden neurons is …
DOI ICANN 2023
Robot at the Mirror: Learning to Imitate via Associating Self-Supervised Models
We introduce an approach to building a custom model from ready-made self-supervised models via their associating instead of training …
DOI ICANN 2023
Safe Reinforcement Learning in a Simulated Robotic Arm
Reinforcement learning (RL) agents need to explore their environments in order to learn optimal policies. In many environments and …
Cite DOI ICANN 2023
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 …
Cite DOI DISA 2023
Snapture—a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
As robots are expected to get more involved in people’s everyday lives, frameworks that enable intuitive user interfaces are in demand. …
PDF DOI Cognitive Computation
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 …
PDF Cite DOI