About Conference

Welcome to the place where science meets engineering!

GHOST Day: AMLC aims at creating a friendly and vivid space for machine learning enthusiasts to exchange experiences and broaden their knowledge of the rapidly changing discipline of data analysis. Our speakers include recognized representatives of the scientific community publishing at top-tier global conferences such as NeurIPS or ICML and many experts from leading companies building machine learning-based products.

With the help of prestigious machine learning research centers and companies we have manage to organize 5 editions of the conference in the past, all of which were met with astoundingly positive feedback, both from the attendees as well as speakers and partners. You can find out more about previous speakers or their talks by navigating the top menu bar.

We would like to express our gratitude to all those who attended GHOST Day: Applied Machine Learning Conference 2024, held at the Lecture Center of Poznań University of Technology (Piotrowo 2, Poznań, Poland) in April. We hope you enjoyed the presentations, workshops and networking opportunities provided during our conference. If you want to stay updated on our future events and activities, please follow us on social media. You can find the links at the bottom of this page.

We look forward to seeing you at the next edition of GHOST Day!

LEARN MORE Check out the previous edition

Our Speakers


Our Timetable


CEST time DAY 1: 05/04
8:00 - 8:45 Registration
8:45 - 9:00 Conference opening
9:00 - 10:00 Keynote lecture 1: Personalized search: contributions based on neural approaches (CW 4)
(Gabriella Pasi, University of Milano-Bicocca)
10:00 - 10:30 Coffee break
10:30 - 12:00 Session 1: Machine Learning (CW 2)
Grzegorz Rypeść, Halina Kwaśnicka, Adam Narożniak
Session 2: Large Language Models (CW 3)
Mohammadamin Barekatain, Michał Mikołajczak, Maks Operlejn
12:10 - 13:30 Panel Discussion: Future of AI - Our Responsibilities (CW 4)
(Jerzy Stefanowski, Robert Kroplewski, Włodzisław Duch)
13:30 - 14:30 Lunch break
14:30 - 15:30 Keynote lecture 2: Machine Learning Discovery of Exoplanets (CW 4)
(Hamed Valizadegan, NASA)
15:30 - 16:00 Coffee break
16:00 - 17:00 Session 3: Self-supervised learning (CW 2)
Timothée Darcet, Piotr Bojanowski
Session 4: Sequence prediction (CW 3)
Wenwu Wang, Souhaib Ben Taieb
17:00 - 17:40 Student Session 1 (CW 2)
Sebastian Chwilczyński, Łukasz Sztukiewicz
Student Session 2 (CW 3)
Piotr Baryczkowski, Sebastian Szczepaniak, Piotr Ludynia, Michał Szafarczyk
19:00 After-party
Cooliozum Pub

CEST time DAY 2: 06/04
8:45 - 9:45 Keynote lecture 3: Neural Networks for Cosmic Microwave Background radiation recovery (CW 4)
(Laura Bonavera, University of Oviedo)
9:45 - 10:45 Coffee break + Poster session
10:45 - 12:15 Session 5: Large Language Models broader picture (CW 2)
Paweł Ekk-Cierniakowski, Mateusz Hordyński, Krzysztof Sopyła
Session 6: Applied AI (CW 3)
Marcin Kowiel, Dawid Lipski, Aleksandra Chrabrowa
12:30 - 13:30 Keynote lecture 4: Nash Learning from human feedback (CW 4)
(Michal Valko, Meta)
13:30 - 14:30 Lunch break
14:30 - 16:00 Session 7: Efficient AI (CW 2)
Halima Bouzidi, Szymon Marcinkowski, Filip Szatkowski
Session 8: Computer Vision (CW 3)
Alessandro Ortis, Dominik Lewy, Karol Piniarski, Marcin Wiktorski
16:00 - 16:30 Coffee break
16:30 - 17:30 Keynote lecture 5: Computer Audition in the Real World: An Interstellar Experience (CW 4)
(Björn Schuller, Imperial College London, Technical University Munich)
17:30 - 17:40 Closing session

Panel Discussion

Future of AI - our responsibilities

Jerzy Stefanowski
Full Professor at Poznan University of Technology
Jerzy Stefanowski works as a full professor at Poznan University of Technology, Institute of Computing Science. He received his Ph.D and Habilitation degrees from the same University. His research interests include data mining, machine learning and intelligent decision support. Major results are concerned with: ensemble classifiers, learning from class-imbalanced data, online learning from evolving data streams, explainable AI, induction of various types of rules, data preprocessing, generalizations of rough set theory, descriptive clustering of texts and medical applications of data mining. He is the author and co-author of over 170 research papers and 2 books, which are highly cited. Following Guide2Research he is ranked as the six among Polish, most cited scientists in computer science. He was a visiting professor or researcher in several universities, mainly in France, Italy, Belgium, Spain and Germany In addition to his research activities he served in a number of organizational capacities:, current vice-president of Polish Artificial Intelligence Society (vice-president since 2014); co-founder and co-leader of Polish Special Interest Group on Machine Learning. Moreover, he is the Editor in Chief of Foundations of Computing and Decision Science journal since 2012.
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Robert Kroplewski
Former Plenipotentiary of the Minister of Digital Affairs
Robert Kroplewski is an experienced legal advisor specializing in technology convergence, new technologies law, and their transfer, as well as electronic media services and social communication...
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Włodzisław Duch
Full Professor at Nicolaus Copernicus University
Włodzisław Duch is a distinguished scientist with expertise in applied informatics, neuroinformatics, as well as artificial intelligence, machine learning, cognitive science, and neurocognitive technologies...
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Partners & Sponsors

Honorary Patronage


Official Sponsors


Media Partners