ASEF Young Minds
Online Events

Blaž Škrlj: Automated Machine Learning

May 25, 2021 | 7:00 pm | Online

ASEF and the Logatec Students’ Club are organizing an online popular science lecture by Blaž Škrlj, ASEF Fellow 2020, and a computer science doctoral student at the Jožef Stefan International Postgraduate School, on the topic of automated machine learning. The lecture held in Slovene will take place online on Tuesday, May 25, 2021, at 7 PM CET.

To view the lecture, you must register by May 25, 2021, at the latest by 6 PM CET. The Zoom link for access and the code for asking questions will be sent to all registered users by e-mail on the day of the event. It is possible to register for the event here.

Machine learning occurs in most scientific industries today, from biology and physics to mechanical engineering and sociology. In most practical cases, researchers are still manually exploring the space of relevant (hyper) parameters, which can be a lengthy and unproductive process. In recent years, we have witnessed a branch of machine learning that deals with automatic pre-processing, modeling, and final models without a human intermediary. The so-called autoML systems make it possible to investigate machine learning models with regard to one or more criteria, which in most cases is possible mainly at the expense of increasing computational power. We will review the greatest achievements in this field during the lecture, their use, and potential consequences for the research / industrial sphere in the coming years.

After studying biotechnology, Blaž Škrlj continued his studies in computer science, where he is currently a doctoral student at the Jožef Stefan International Postgraduate School. He is involved in the development of machine learning methods with an emphasis on learning representations and relational learning. In addition to the development of methods, he also actively participates in applying techniques in the fields of microbiology, chemistry, and plant biology. As part of the ASEF program, in 2020, he joined the group of prof. Jure Leskovac at Stanford University, where he had the opportunity to research in the field of learning abstract thinking and program synthesis.