Second-order photon correlation measurements [g (2)(τ) functions] are widely used to
classify single-photon emission purity in quantum emitters or to measure the multiexciton …

Numerical validation is at the core of machine learning research as it allows us to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Self-supervised large language models (LMs) have become a highly-influential and
foundational tool for many NLP models. For this reason, their expressivity is an important …

In this work we present the process of developing a machine learning model that detects the
lane type for micromobility vehicles from the images captured with a mobile. This model will …

This thesis presents the result of the research, analysis and development of algorithms
based on efficient deep convolutional networks. The goal of the project is that the algorithms …