Technical sciences

Analyzing deep neural networks from a graph perspective

Deep learning under distribution shifts : continual learning and beyond

Adapting deep learning architectures for drug discovery

Synchronization of finite automata : problems and generalizations

Deep learning techniques for accelerating microscopy image analysis

Designing urban transit network usingmemetic algorithm

Numerical analysis and simulations of mechanical contact problems

Interpretable deep learning with prototypical parts for supervised and weakly-supervised learning

Adaptiveness in deep learning models

Development of universal data representations with application in chemistry.