Schedule
09:00 – 10:30
DaFab Summer School
AI introduction in Remote Sensing
Speaker(s): Alena Bakhorina
Time: 9:00
Time: 9:00
Earth Observation Remote Sensing: From Copernicus to Thales Alenia Space AI
Applications
Speaker(s): Michelle Aubrun
Time: 9:45
Time: 9:45
AI Factories
Introduction
Speaker(s): Ministry of Science
Time: 9:00
Time: 9:00
Welcome and Technical Info
Time: 9:15
AI:AT Factory
Speaker(s): Katharina Roeck; Andreas Linder (AT)
Time: 9:30
Time: 9:30
IT4LIA: AI Factory and Data Services
Speaker(s): Roberta Turra (IT)
Time: 10:00
Time: 10:00
10:30 – 11:00 · Coffee Break
11:00 – 13:00
DaFab Summer School
Earth Observation data access tools
Speaker(s): Alena Bakhorina
Time: 11:00
Time: 11:00
Earth Observation Remote Sensing: Thales Alenia Space AI Applications
Speaker(s): Michelle Aubrun
Time: 11:45
Time: 11:45
AI Factories
Slovenian AI Factory and the AI Ecosystem
Speaker(s): Dragi Kocev; Jan Jona Javoršek (SI)
Time: 11:00
Time: 11:00
Panel
Panelists: Katharina Roeck; Andreas Linder; Roberta Turra; Sašo Džeroski / Dragi
Kocev
Time: 11:30
Time: 11:30
Anatomy of AI Factories: Orchestrating AI Workloads From Batch to Cloud, from
Data to User Interfaces
Format: Discussion (moderated by Jan Jona Javoršek)
Time: 12:00
Time: 12:00
13:00 – 14:30 · Lunch Break
14:30 – 16:00
DaFab Summer School
TBA
Hands-on Session
Time: 14:30
Time: 14:30
AI & Environmental Science
Generative Deep Learning for Satellite Data Reconstruction
Keynote Speaker(s): Alexander Barth
Time: 14:30 - 15:15
Time: 14:30 - 15:15
Discovery of Entity Types for Climate Change
Author(s): Andrija Poleksić
Time: 15:15 - 15:35
Time: 15:15 - 15:35
An AI-Enhanced GIS Platform for Natural Language-Based Environment Analysis by
Non-GIS-Specialists
Author(s): Vid Primožič, Vid Jakopin, Jaka Kravanja
Time: 15:35 - 15:55
Time: 15:35 - 15:55
AI Factories
Mimer — The Swedish AI Innovation Factory
Speaker(s): Joel Hedlund (SE)
Time: 14:30
Time: 14:30
Public AI Models & AI Factories: Building the Public Infrastructure for
Artificial Intelligence
Speaker(s): Albert Cañigueral (ES)
Time: 15:00
Time: 15:00
“To ensure AI serves the common good we must build the next generation of public
infrastructure: Public AI. Building Public AI together offers a way to invest in a solid
foundation for the next century of progress: ensuring that trustworthy AI systems protect our
shared values, that flourishing marketplaces spark innovation on every problem. AI Factories
program is the perfect match for the adoption and diffusion of these Public AI models.”
16:00 – 16:30 · Coffee Break
16:30 – 18:00
AI & Environmental Science
Forecasting high-frequency sea-level oscillations in the Adriatic Sea using deep
neural networks
Author(s): Iva Međugorac, Nikola Metličić, Marko Rus, Jadranka Šepić, Matej
Kristan, Matjaž Ličer
Time: 16:30 - 16:50
Time: 16:30 - 16:50
A neural network-based observation operator for weather radar data assimilation
Author(s): Marco Stefanelli, Ziga Zaplotnik, Gregor Skok
Time: 16:50 - 17:10
Time: 16:50 - 17:10
AI-Based Correction of Ocean Surface Wind Biases in Global Numerical Weather
Prediction
Author(s): Evgeniia Makarova, Marcos Portabella, Ad Stoffelen, Veronica Vilaplana,
Manuel García-León, Marcos Sotillo
Time: 17:10 - 17:30
Time: 17:10 - 17:30
Escaping the Plausiblity Trap: Verified Agentic Pipelines for Climate-Scale
Nonlinearity
Author(s): David Lewis, Enrique Zueco
Time: 17:30 - 17:50
Time: 17:30 - 17:50
AI Factories
Panel
Panelists: Joel Hedlund; Albert Cañigueral; Andrej Filipčič
Time: 16:30
Time: 16:30
AIF Meeting
Time: 16:30
18:30
Opening and EurAI keynote + reception
09:00 – 10:30
28th Discovery Science Conference
Opening
Speaker(s): Sašo Džeroski, Vida Groznik
Time: 09:20 - 09:30
Time: 09:20 - 09:30
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
Author(s): Pol Timmer, Koen Minartz, Vlado Menkovski
Time: 09:30 - 09:50
Time: 09:30 - 09:50
Score Matching on Large Geometric Graphs for Cosmology Generation
Author(s): Diana Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski
Time: 09:50 - 10:10
Time: 09:50 - 10:10
Maximum Entropy Models for Unimodal Time Series: Case Studies of Universe 25 and
St. Matthew Island
Author(s): Sabin Roman
Time: 10:10 - 10:30
Time: 10:10 - 10:30
DaFab Summer School
Building the High-Performance Core of AI Factories
Speaker(s): Farouk Mansouri
Time: 9:00
Time: 9:00
Evolving Cloud Infrastructures for AI Workloads - High-Performance Foundations
for AI Training
Speaker(s): Clara Ulken
Time: 9:45
Time: 9:45
AI & Environmental Science
Integrating AI in Urban Water Management: Intelligent Decision Support Systems
for the Twin Transition
Keynote Speaker(s): Joaquim Comas Matas
Time: 9:00 - 9:45
Time: 9:00 - 9:45
Multi-objective Optimization of Nature-based Solutions
Author(s): Shengnan Yang, Matej Radinja, Nataša Atanasova
Time: 9:45 - 10:05
Time: 9:45 - 10:05
ML-based Turbidity forecasting in Drinking Water Treatment Plants for improved
treatment
Author(s): David Abert-Fernández, Nataša Atanasova, Hèctor Monclús, Daniel Kozelj
Time: 10:05 - 10:25
Time: 10:05 - 10:25
AI & Physics
A robust neural determination of the source-count distribution of the Fermi-LAT
sky at high latitudes
Author(s): Christopher Eckner, Noemi Anau Montel, Florian List, Francesca Calore,
Christoph Weniger
Time: 9:00 - 9:20
Time: 9:00 - 9:20
GPT-like transformer model for silicon tracking detector simulation
Author(s): Tadej Novak
Time: 9:20 - 9:40
Time: 9:20 - 9:40
Mixture-of-Expert Autoencoders for Cross-Modality Embedding of Supernovae
Author(s): Alexander Gagliano, Yunyi Shen
Time: 9:40 - 10:00
Time: 9:40 - 10:00
Suitability Analysis of Kolmogorov-Arnold Networks for Real-World Equation
Discovery
Author(s): Nicolas Kriener, Jannis Brugger, Mira Mezini, Stefan Kramer
Time: 10:00 - 10:20
Time: 10:00 - 10:20
AI Factories
Internal AIF Technical Meeting
Time: 10:00 · Internal
10:30 – 11:00 · Coffee Break
11:00 – 13:00
28th Discovery Science Conference
Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural
Networks
Author(s): Liliana Martirano, Francesco Scala, Carmela Comito, Luigi Pontieri
Time: 11:00 - 11:20
Time: 11:00 - 11:20
Learning Tree-structured Distributions
Author(s): Fadwa Idlahcen
Time: 11:20 - 11:40
Time: 11:20 - 11:40
From Reviews to Results: Generative AI for Review-Driven Product and Service
Comparisons
Author(s): Cristian Cosentino, Merve Gunduz, Fabrizio Marozzo, Şule Öztürk Birim
Time: 11:40 - 12:00
Time: 11:40 - 12:00
Deep Symbolic Optimization: Reinforcement Learning for Equation Discovery
Keynote Speaker(s): Mikel Landajuela
Time: 12:00 - 13:00
Time: 12:00 - 13:00
DaFab Summer School
Delivering Agility: From Trained Models to Scalable AI Services
Speaker(s): Farouk Mansouri
Time: 11:00
Time: 11:00
Evolving Cloud Infrastructures for AI Workloads – Agility at Scale: Deploying AI
Everywhere
Speaker(s): Clara Ulken
Time: 11:45
Time: 11:45
AI & Environmental Science
Modelling Yield of Diverse Potato Varieties from Multi-Season Field Trial Data
Author(s): Angelika Vižintin, Eva Turk, Maja Zagorščak, Alexandra Ribarits, Bianca
Doevendans, Guus Heselmans, Ivana Imerovski, Jeroen Bakker, Pieter-Jelte Lindenbergh, Jan
Zrimec, Kristina Gruden
Time: 11:00 - 11:20
Time: 11:00 - 11:20
Classification of Woody Vegetation Landscape Features from National Orthophoto
Author(s): Adam Gabrič, Dejan Grigillo, Žiga Kokalj
Time: 11:20 - 11:40
Time: 11:20 - 11:40
Predator detection in low-resolution thermal videos: Insights from Analyzing the
New Zealand Wildlife Thermal Imaging dataset
Author(s): Katerina Taskova
Time: 11:40 - 12:00
Time: 11:40 - 12:00
AI & Physics
Probing the Parameter Space of Axion-Like Particles Using Simulation-Based
Inference
Author(s): Pooja Bhattacharjee, Gabrijela Zaharijas, Christopher Eckner
Time: 11:00 - 11:20
Time: 11:00 - 11:20
We're Building the Largest Sky Survey in History: Can AI Help us Understand Its
Data?
Invited Speaker(s): Mario Juric
Time: 11:20 - 12:00
Time: 11:20 - 12:00
Towards foundation model for astrophysical source detection: An End-to-End
Gamma-Ray Data Analysis Pipeline Using Deep Learning
Author(s): Judit Pérez-Romero, Saptashwa Bhattacharyya, Sascha Caron, Dmitry
Malyshev, Giacomo Principe, Roberto Ruiz de Austri Bazán, Nicolaas Rodney, Zoja Rokavec, Danijel
Skočaj, Domen Tabernik, Gabrijela Zaharijas
Time: 12:00 - 12:20
Time: 12:00 - 12:20
Anomalous variability detection in the LSST era
Author(s): Oleksandra Razim
Time: 12:20 - 12:40
Time: 12:20 - 12:40
Nuclear recoil detection with color centers in bulk lithium fluoride
Author(s): Patrick Stengel
Time: 12:40 - 13:00
Time: 12:40 - 13:00
AI Factories
Internal AIF Technical Meeting
Time: 11:00 – 13:00 · Internal
13:00 – 14:30 · Lunch Break
14:30 – 16:00
28th Discovery Science Conference
Prompting Neural-Guided Equation Discovery Based on Residuals
Author(s): Jannis Brugger, Viktor Pfanschilling, David Richter, Mira Mezini,
Stefan Kramer
Time: 14:30 - 14:50
Time: 14:30 - 14:50
Bayesian Grammar Refinement for Efficient Equation Discovery
Author(s): Jure Brence, Sašo Džeroski, Ljupčo Todorovski
Time: 14:50 - 15:10
Time: 14:50 - 15:10
EDC: Equation Discovery for Classification
Author(s): Guus Toussaint, Arno Knobbe
Time: 15:10 - 15:30
Time: 15:10 - 15:30
A variational autoencoder for n-ary trees
Author(s): Martin Perčinić, Sebastian Mežnar, Ljupčo Todorovski, Sašo Džeroski
Time: 15:30 - 15:50
Time: 15:30 - 15:50
DaFab Summer School
Part 1 – HPC Training/Finetuning of an LLM
Hands-on Session
Time: 14:30
Time: 14:30
AI & Environmental Science
Forecasting Chlorophyll-a Concentrations in the Gulf of Trieste with Machine
Learning Techniques
Author(s): Katja Bengeri, Jana Faganeli Pucer, Martin Vodopivec
Time: 14:30 - 14:50
Time: 14:30 - 14:50
Deep Learning Approach to Landmarking and Origin Classification for Gilthead
Seabream (Sparus aurata)
Author(s): Josip Šarić, Igor Talijančić, Josip Zavada, Luka Žuvić, Siniša Šegvić,
Tanja Šegvić Bubić
Time: 14:50 - 15:10
Time: 14:50 - 15:10
Automated modelling of Lake Bled, Slovenia
Author(s): Mateja Skerjanec, Laura Rant, Matej Radinja, Natasa Atanasova
Time: 15:10 - 15:30
Time: 15:10 - 15:30
Modeling Fungal Diversity in Coastal Sands with Interpretable Machine Learning
Author(s): Monika Novak Babič, Katharina Dost, Ana Margarida Silva, Sašo Džeroski,
João Brandão
Time: 15:30 - 15:50
Time: 15:30 - 15:50
AI & Physics
Detecting Localized Density Anomalies in Multivariate Data
Author(s): Sebastian Springer, Andre Scaffidi, Max Autenrieth, Gabriella Contardo,
Alessandro Laio, Roberto Trotta, Heikki Haario
Time: 14:30 - 14:50
Time: 14:30 - 14:50
Solving inverse problems in science with AI
Keynote Speaker(s): Uroš Seljak
Time: 14:50 - 15:50
Time: 14:50 - 15:50
16:00 – 16:30 · Coffee Break
16:30 – 18:00
28th Discovery Science Conference
Exploring the Design Space of Fair Tree Learning Algorithms
Author(s): Kiara Stempel, Mattia Cerrato, Stefan Kramer
Time: 16:30 - 16:50
Time: 16:30 - 16:50
On the Potential of Deep Symbolic Models for Classification Problems
Author(s): Florian Beck, Johannes Fürnkranz, Van Quoc Phuong Huynh
Time: 16:50 - 17:10
Time: 16:50 - 17:10
Neuron-Level Architecture Search for Efficient Model Design
Author(s): Artem Lunev, Nikolay Nikitin
Time: 17:10 - 17:30
Time: 17:10 - 17:30
Late Breaking Papers – Spotlights (3 mins)
Time: 17:30 – 18:00 · Each talk: 3 minutes
- Embedding Orthogonality and Sparsity into Probabilistic Context-Free Grammars for Equation Discovery — Sabin Roman; Ljupco Todorovski; Sašo Džeroski
- Quantifying Module Interactions in the PSO-X Framework — Christian Camacho-Villalón; Ana Nikolikj; Katharina Dost; Eva Tuba; Sašo Džeroski; Tome Eftimov
- From African Buffalo To Zombies: Quantifying Algorithm Similarity in the EC-Bestiary — Christian Camacho-Villalón; Nicolas Samelson; Katharina Dost; Jörg Wicker; Sašo Džeroski
- Discovery of exact equations via computing the Groebner basis — Boštjan Gec; Sašo Džeroski; Ljupčo Todorovski
- Grasynda: Graph-based Synthetic Time Series Data Augmentation — Luis Amorim; Vítor Cerqueira; Carlos Soares; Paulo Azevedo; Moises Santos
- Enhancing Language Models for Specialized Classification Tasks Using Selective Masking Strategies — Youssef Mahdoubi; Najlae Idrissi; Mathieu Roche; Sarah Valentin
- Running Large Language Models Locally: Design and Operational Insights with llm.ijs.si — Nikola Marić; Boshko Koloski; Damjan Demšar; Jan Jona Javoršek; Sašo Džeroski
- Gradient Calibration in LSTM Networks for Enhanced Learning Efficiency — Antonio Tolic; Biljana Mileva Boshkoska; Sandro Skansi
- Empathy Prediction During VR Session Using Machine Learning and Interpretable Decision Systems — Emilija Kizhevska; Mitja Luštrek; Biljana Mileva Boshkoska
- Graph-Based Algorithm Performance Prediction in Black-Box Optimization — Ana Kostovska; Carola Doerr; Sašo Džeroski; Panče Panov; Tome Eftimov
- Enhancing Fake Tweet Classification with Synthetic Tweet Generation — Abdul Sittar; Mateja Smiljanic; Alenka Gucek
- The Scienceomatic Environment: An Update — Joseph Phillips
- Behavior-Aware Expression Dissimilarity — Sebastian Mežnar; Sašo Džeroski; Ljupčo Todorovski
- Forecasting Running Performance in Adolescents from Longitudinal Childhood Data — Maj Zirkelbach; Gregor Jurak; Maroje Sorić; Anton Gradišek; Vida Groznik
- Uncertainty in regional weather forecasting: from a physical to a data-based model — Matjaž Puh
- Level 4: Building an Indestructible Pipeline for Agentic Science — David Lewis; Enrique Zueco
- Explainable Insights into Algorithm Behavior — Ana Nikolikj; Mario Andrés Muñoz; Tome Eftimov
- Inductive Multi-perspective User Classification in Social Networks — Francesco Benedetti; Antonio Pellicani; Gianvito Pio; Michelangelo Ceci
AI & Environmental Science
Sparsity introduction in Bayesian Autocorrelation Matrix factorization for
organic aerosol source apportionment
Author(s): Marta Via Gonzalez, Anton Rusanen, Jure Demšar, Yufang Hao, Manos
Manousakas, Jianhui Jiang, Andrés Alastuey, Stuart K. Grange, Jean-Luc Jaffrezo, Vy Nguyen Thuy,
Gaëlle Uzu, Griša Močnik, Kaspar R. Dällenbach
Time: 16:30 - 16:50
Time: 16:30 - 16:50
ML analysis for absorption measurements correction schemes – A test study
Author(s): Jesús Yus Díez, Jorge Perez, Lucas Alados-Arboledas, Luka Drinovec,
Gloria Titos, Tuukka Petäjä, Andrés Alastuey, Xavier Querol, Griša Močnik
Time: 16:50 - 17:10
Time: 16:50 - 17:10
Assisting organic aerosol source apportionment with a multinomial logistic
regression classifier.
Author(s): Iasonas Stavroulas, Marta Via, Griša Mocnik
Time: 17:10 - 17:30
Time: 17:10 - 17:30
Graph Neural Network (GNN) powered electronic structure analysis of CuO–SnO₂
heterostructure: towards AI-driven H₂S gas sensor optimization
Author(s): Rishiit Sharma, Ajay K. Sao, Anjali Sharma, Monika Tomar, Arijit
Chowdhuri
Time: 17:30 - 17:50
Time: 17:30 - 17:50
AI & Physics
Modeling Multi-messenger Emission from Galaxy Clusters Using Machine Learning
Author(s): Saqib Hussain
Time: 16:30 - 16:50
Time: 16:30 - 16:50
Primordial Black Hole formation from a massless scalar field
Author(s): Gabriele Palloni, Ilia Musco, Taishi Ikeda, Paolo Pani
Time: 16:50 - 17:10
Time: 16:50 - 17:10
18:00 – 19:30
Poster session (lobby)
09:00 – 10:30
28th Discovery Science Conference
Similarity Learning for Spectral Clustering
Author(s): Vangjush Komini, Nadezhda Koriakina, Debaditya Roy, Sarunas
Girdzijauskas
Time: 9:30 - 9:50
Time: 9:30 - 9:50
Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual
Distances
Author(s): Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas
Time: 9:50 - 10:10
Time: 9:50 - 10:10
Selecting Unlabeled Data for Tabular Self-Supervised Learning
Author(s): Sintija Stevanoska, Katharina Dost, Christian Leonardo Camacho
Villalón, Sašo Džeroski
Time: 10:10 - 10:30
Time: 10:10 - 10:30
DaFab Summer School
Containers/Docker
Speaker(s): Giorgos Saloustros
Time: 9:00
Time: 9:00
Orchestration/Kubernetes
Speaker(s): Antony Chazapis
Time: 9:45
Time: 9:45
AI & Digital Humanities
Reflections on Reflection in Humanities and AI
Keynote Speaker(s): Marieke van Erp
Time: 9:00 - 9:50
Time: 9:00 - 9:50
AI for Managing Complex Textual Traditions: How to Handle Multiple Variant
Readings?
Author(s): Serena Crespi, Alice Gydé, Carlos-Emiliano González-Gallardo, Elena
Pierazzo
Time: 9:50 - 10:10
Time: 9:50 - 10:10
Simulating Archival Biases for Interpretable Surrogate Scholar Learning
Author(s): Ricardo Inácio, Zafeiris Kokkinogenis, Vitor Cerqueira, Carlos Soares
Time: 10:10 - 10:30
Time: 10:10 - 10:30
AI & Physics
Analytic symbolic regression emulators for the impact of baryons on the matter
power spectrum
Author(s): Lukas Kammerer, Deaglan J. Bartlett, Gabriel Kronberger, Harry Desmond,
Pedro G. Ferreira
Time: 9:00 - 9:20
Time: 9:00 - 9:20
Simulation-based Inference for LISA: inferring the galactic binary population
Author(s): Rahul Srinivasan
Time: 9:20 - 9:40
Time: 9:20 - 9:40
Approximate Bayesian algorithm for tensor-robust PCA using relative entropy
Author(s): Andrej Srakar
Time: 9:40 - 10:00
Time: 9:40 - 10:00
Alpha-stable noise for establishing secure communications via AI/ML
Author(s): Areeb Ahmed, Zoran Bosnić
Time: 10:00 - 10:20
Time: 10:00 - 10:20
AI Sandboxes
Public Panel – AI Regulatory Sandboxes: Experiences and Practices
Moderator: Joao Pita Costa
Time: 9:00 - 10:30
Time: 9:00 - 10:30
AI Regulatory Sandboxes and Innovation
Speaker(s): Dr. Livio Rubino,
Time: 9:00 - 9:20
Time: 9:00 - 9:20
EU Regulatory Sandboxes for AI: Framework, Challenges, and Early Findings
Speaker(s): Dr. Fabio Seferi
Time: 9:20 - 9:40
Time: 9:20 - 9:40
EU Testing and Experimentation Facilities (TEFs) and Regulatory Sandboxes
Speaker(s): Dr. Petra Riter
Time: 9:40 - 10:00
Time: 9:40 - 10:00
uilding Trust in AI: Lessons from Brazilian Regulatory Sandboxes
Speaker(s): Dr. Cristina Godoy Bernardo de Oliveira
Time: 10:00 - 10:20
Time: 10:00 - 10:20
10:30 – 11:00 · Coffee Break
11:00 – 13:00
28th Discovery Science Conference
Meta Subspace Analysis: understanding model (mis)behavior in the metafeature
space
Author(s): Carlos Soares, Paulo J. Azevedo, Luis Torgo, Vítor Cerqueira
Time: 11:00 - 11:20
Time: 11:00 - 11:20
tsMIST: Model Sensitivity Analysis with Time Series Morphing
Author(s): Antónia Brito, Moisés Santos, Carlos Soares, Duarte Folgado
Time: 11:20 - 11:40
Time: 11:20 - 11:40
Explaining Deep Neural Networks with Example and Pixel Attribution
Author(s): Genghua Dong, Henrik Boström, Roman Bresson, Amr Alkhatib
Time: 11:40 - 12:00
Time: 11:40 - 12:00
Auto-continual learning
Keynote Speaker(s): Joaquin Vanschoren
Time: 12:00 - 13:00
Time: 12:00 - 13:00
DaFab Summer School
Worflows
Speaker(s): Antony Chazapis
Time: 11:00
Time: 11:00
Argo
Speaker(s): Lefteris Vasilakis
Time: 11:45
Time: 11:45
AI & Digital Humanities
Copyright obstacles in building large language model in Slovenia: exceptions in
the copyright law, right clearance via licenses and obstacles in practice
Author(s): Maja Bogataj Jancic, Simon Krek
Time: 11:00 - 11:20
Time: 11:00 - 11:20
Using large language models to generate distractors for language games
Author(s): Tjaša Arčon, Iztok Kosem, Špela Arhar Holdt
Time: 11:20 - 11:40
Time: 11:20 - 11:40
SloPragEval: Creating the First Pragmatics Understanding Benchmark for Slovene
Author(s): Mojca Brglez, Špela Vintar
Time: 11:40 - 12:00
Time: 11:40 - 12:00
Evaluating LLMs on Value Annotation Task
Author(s): Ajda Pretnar Žagar
Time: 12:00 - 12:20
Time: 12:00 - 12:20
Agentic Large Language Models for Grammatical Analysis of Multilingual Corpora
Author(s): Matej Klemen, Kaja Dobrovoljc, Luka Terčon, Nives Hüll, Tjaša Arčon,
Marko Robnik-Šikonja
Time: 12:20 - 12:40
Time: 12:20 - 12:40
Attempt to Create Synthetic Dataset for Grammar Error Correction in Slovenian
Language
Author(s): Gašper Jelovčan, Marko Robnik-Šikonja, Špela Arhar Holdt, Domen Vreš
Time: 12:40 - 13:00
Time: 12:40 - 13:00
AI & Physics
CaloClouds 3: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter
Simulation
Author(s): Henry Day-Hall, Thorsten Henrik Buss, Frank Gaede, Gregor Kasieczka,
Katja Krüger, Anatolii Korol, Peter Mckeown, Lorenzo Valente
Time: 11:00 - 11:20
Time: 11:00 - 11:20
The promise of Simulation-Based Inference for cosmology
Invited Speaker(s): Roberto Trotta
Time: 11:20 - 12:00
Time: 11:20 - 12:00
Application of Score-Based Denoising Diffusion Model to Astrophysical Images
Author(s): Saptashwa Bhattacharyya, Gabrijela Zaharijas, Judit Perez Romero
Time: 12:00 - 12:20
Time: 12:00 - 12:20
Diffusion-based models for fast, scalable and accurate baryonic observables
predictions beyond power spectra
Author(s): Satvik Mishra, Roberto Trotta, Matteo Viel
Time: 12:20 - 12:40
Time: 12:20 - 12:40
AI Sandboxes
Closed Roundtable – Regulatory Dialogue on AI Sandboxes: From Design to
Implementation (by invitation only)
Time: 11:00 - 13:00
13:00 – 14:30 · Lunch Break
14:30 – 16:00
28th Discovery Science Conference
Aspect-Based Few-Shot Learning
Author(s): Tim van Engeland, Lu Yin, Vlado Menkovski
Time: 14:30 - 14:50
Time: 14:30 - 14:50
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DDoS Attack
Detection
Author(s): Francesco Scala, Massimo Guarascio, Carlo Parrotta, Luigi Pontieri
Time: 14:50 - 15:10
Time: 14:50 - 15:10
Adaptive Isolation Forest
Author(s): Jia Liu, Guilherme Cassales, Fei Liu, Bernhard Pfahringer, Albert Bifet
Time: 15:10 - 15:30
Time: 15:10 - 15:30
Investigating delays of combined feature and label acquisitions on data streams
Author(s): Maik Büttner, Myra Spiliopoulou
Time: 15:30 - 15:50
Time: 15:30 - 15:50
DaFab Summer School
Knot
Hands-on Session
Time: 14:30
Time: 14:30
AI & Digital Humanities
AI for the Computational Study of Narrative and Readers
Keynote Speaker(s): Federico Pianzola
Time: 14:30 - 15:20
Time: 14:30 - 15:20
SloLitAA: Slovenian Literary Authorship Attribution via AutoML
Author(s): Boshko Koloski, Andrejka Žejn, Senja Pollak
Time: 15:20 - 15:40
Time: 15:20 - 15:40
Automatic detection of folkloristic motifs with large language models: the
Cinderella tale
Author(s): Tjaša Arčon, Marko Robnik-Šikonja, Polona Tratnik
Time: 15:40 - 16:00
Time: 15:40 - 16:00
AI & Physics
Large-scale reinterpretation of new physics searches at the LHC using ML
Author(s): Judita Mamuzic
Time: 14:30 - 14:50
Time: 14:30 - 14:50
The road to AI-based discoveries
Keynote Speaker(s): Gregor Kasieczka
Time: 14:50 - 15:50
Time: 14:50 - 15:50
AI & Material Science
Discovery of Molecular Crystals with Advanced Mechanical Properties
Author(s): Ivor Lončarić
Time: 14:45 - 15:00
Time: 14:45 - 15:00
Toward Automated Extraction of Force Fields for Molecular Fluid Simulations Using
Large Language Models
Author(s): Amila Akagic, Simon Stephan, Martin Thomas Horsch, Silvia Chiacchiera
Time: 15:00 - 15:15
Time: 15:00 - 15:15
Mid-level schema for a thermodynamic quality catalogue under DOLCE
Author(s): Martin Horsch, Simon Stephan, Gabriela Guevara Carrión, Amila Akagić,
Heinz Preisig, Silvia Chiacchiera
Time: 15:15 - 15:30
Time: 15:15 - 15:30
Early Insights into Benchmarking LLMs for Biomaterial Science
Author(s): Ana Ipsic
Time: 15:30 - 15:45
Time: 15:30 - 15:45
A Semantic-Aware Approach to FAIRify Semiconductor Experiment Data
Author(s): Huanyu Li, Patrick Lambrix, Chuanfei Wang
Time: 15:45 - 16:00
Time: 15:45 - 16:00
AI Sandboxes
Closed Roundtable – Regulatory Dialogue on AI Sandboxes: From Design to
Implementation (by invitation only)
Time: 14:30 - 16:00
16:00 – 16:30 · Coffee Break
16:30 – 18:00
28th Discovery Science Conference
Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy
Explanations in AutoML
Author(s): Mustafa Cavus, Jan N. van Rijn, Przemyslaw Biecek
Time: 16:30 - 16:50
Time: 16:30 - 16:50
Extending Model-Agnostic XAI Methods for Regression Tasks in Spatio-Temporal
Domains
Author(s): Matteo Salis, Gabriele Sartor, Marco Pellegrino, Rosa Meo, Stefano
Ferraris, Abdourrahmane Atto
Time: 16:50 - 17:10
Time: 16:50 - 17:10
Enhancing Local Explanations with GAN-Based neighborhood generation
Author(s): Luca Corbucci, Francesca Naretto, Anna Monreale
Time: 17:10 - 17:30
Time: 17:10 - 17:30
Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic
Ambiguous Data
Author(s): Cátia Teixeira, Inês Gomes, Carlos Soares, Jan van Rijn
Time: 17:30 - 17:50
Time: 17:30 - 17:50
DaFab Summer School
hands-on create your own workflow with Knot/Argo
Hands-on Session
Time: 16:30
Time: 16:30
AI & Digital Humanities
From Datasets to Data Spaces: What they are and what to expect?
Invited Speaker(s): Slavko Žitnik
Time: 16:30 - 17:20
Time: 16:30 - 17:20
Teaching Vision-Language Models Semiotics: Toward a Socio-Semiotic Framework for
Multimodal AI
Author(s): Matej Martinc, Jan Babnik
Time: 17:20 - 17:40
Time: 17:20 - 17:40
AI-Powered Sign Language Interpretation in Brazilian Cultural Institutions: The
Case of IRIS+ and LIBRAS
Author(s): Maria Wendhausen
Time: 17:40 - 18:00
Time: 17:40 - 18:00
AI & Physics
Advanced Particle classification in space missions using machine learning
techniques
Author(s): Maria Bossa, Federica Cuna, Fabio Gargano
Time: 16:30 - 16:50
Time: 16:30 - 16:50
Advanced Tracking Analysis in Space Experiments with Graph Neural Networks
Author(s): Federica Cuna, Maria Bossa, Fabio Gargano, Mario Nicola Mazziotta
Time: 16:50 - 17:10
Time: 16:50 - 17:10
20:30
Conference dinner, at Grand Hotel Union
09:00 – 10:30
28th Discovery Science Conference
Please meet AI, our dear new colleague. In other words: can scientists and
machines truly cooperate?
Keynote Speaker(s): Iryna Gurevych
Time: 9:30 - 10:30
Time: 9:30 - 10:30
DaFab Summer School
The AI Factory for Earth
Speaker(s): Stephanie Giard
Time: 9:00
Time: 9:00
Data and Performance: Key factors and Parameters
Speaker(s): Jean-Thomas Acquaviva
Time: 9:45
Time: 9:45
AI & Material Science
Unlocking Magnetic Materials Discovery through Generative Modelling with
Specialised Data
Keynote Speaker(s): Brian (Po-Yen) Tung
Time: 9:30 - 10:15
Time: 9:30 - 10:15
Active Learning for Composition Optimization in Electrocatalyst Discovery
Author(s): Katharina Dost, Christian L. Camacho Villalón, Andraž Stariha, Marjan
Bele, Mejrema Nuhanović, Črtomir Donik, Samuel Brhane Alemayohu, Jakob Starec Oman, Nejc Hodnik,
Luka Suhadolnik, Sašo Džeroski
Time: 10:15 - 10:30
Time: 10:15 - 10:30
10:30 – 11:00 · Coffee Break
11:00 – 13:00
28th Discovery Science Conference
FoodSEM: Large Language Model Specialized in Food Named-Entity Linking
Author(s): Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski,
Barbara Koroušić Seljak, Tome Eftimov
Time: 11:00 - 11:20
Time: 11:00 - 11:20
Multi-Domain Validation of LLM-Based Simulators via Interpretable and Latent
Representations
Author(s): Laura Pollacci, Giacomo Fidone, Luca Coda-Giorgio
Time: 11:20 - 11:40
Time: 11:20 - 11:40
Fine-Tuning Transformer-Based LLMs in Hierarchical Text Classification
Author(s): Joana Santos, Nuno Silva, Carlos Ferreira, João Gama
Time: 11:40 - 12:00
Time: 11:40 - 12:00
CACTUS: A Context-aware Framework for Counterfactual Explanations Across Diverse
Prediction Domains
Author(s): Diego García, Zhendong Wang, José M. Enguita
Time: 12:00 - 12:20
Time: 12:00 - 12:20
Explaining Anomalous Data with Reinforcement Learning
Author(s): Simone Amirato, Fabrizio Angiulli, Fabio Fassetti
Time: 12:20 - 12:40
Time: 12:20 - 12:40
DaFab Summer School
Metadata Catalog: The needle and the haystack
Speaker(s): Dimitrios Xenakis
Time: 11:00
Time: 11:00
Observability and data performance at the time of AI
Speaker(s): Jean-Thomas Acquaviva
Time: 11:45
Time: 11:45
AI & Material Science
Multiscale Materials Modeling with Machine Learning Potentials
Keynote Speaker(s): Julija Zavadlav
Time: 11:00 - 11:45
Time: 11:00 - 11:45
AI-Enhanced 4D-STEM: Decoding Polarization in Potassium Sodium Niobate
Author(s): Matej Martinc, Anton Kokalj, Katarina Žiberna, Andreja Benčan Golob,
Goran Dražič, Sašo Džeroski
Time: 11:45 - 12:00
Time: 11:45 - 12:00
Roundtable
Time: 12:00 - 12:45
13:00 – 14:30 · Lunch Break
14:30 – 16:00
28th Discovery Science Conference
Adversarial bandit optimization for approximately linear functions
Author(s): Zhuoyu Cheng, Kohei Hatano, Eiji Takimoto
Time: 14:30 - 14:50
Time: 14:30 - 14:50
A Contextual Bandit Algorithm for Recommending Item Sets with High Sum Diversity
Author(s): Masaki Hashimoto, Atsuyoshi Nakamura
Time: 14:50 - 15:10
Time: 14:50 - 15:10
Attackers Strike Back? Not Anymore — An Ensemble of RL Defenders Awakens.
Author(s): Sidahmed Benabderrahmane, Talal Rahwan
Time: 15:10 - 15:30
Time: 15:10 - 15:30
DaFab Summer School
TBA
Hands-on Session
Time: 14:30
Time: 14:30
AI & Life Sciences
Opening and a keynote talk by Martin Michalowski
Keynote Speaker(s): Martin Michalowski
Time: 14:30 - 15:30
Time: 14:30 - 15:30
Stimulus-Response Multimodal Emotion Recognition Using EEG and Audio-Visual Data
with Cross-Modal Attention
Author(s): Hyoung-Gook Kim; Jörn Fischer; Jin-Young Kim
Time: 15:30 - 15:45
Time: 15:30 - 15:45
Enhancing Parkinson’s Diagnosis with Hypomimia and Speech Analysis
Author(s): Justyna Skibinska
Time: 15:45 - 16:00
Time: 15:45 - 16:00
AI & Material Science
AI-orchestrated materials discovery and closed-loop synthesis of nanoparticles
and electrocatalysts
Keynote Speaker(s): Tejs Vegge
Time: 14:30 - 15:15
Time: 14:30 - 15:15
Building bridges between experiments and digital workflows: lessons from Quipnex
Keynote Speaker(s): Luka Suhadolnik
Time: 15:15 - 16:00
Time: 15:15 - 16:00
16:00 – 16:30 · Coffee Break
16:30 – 18:00
28th Discovery Science Conference
A novel AI approach for the diagnosis of Alzheimer’s Disease from multi-modal
incomplete data
Author(s): Veronica Buttaro, Giuseppe Lamanna, Donato Massaro, Claudio Basilio
Caporusso, Gianvito Pio, Michelangelo Ceci
Time: 16:30 - 16:50
Time: 16:30 - 16:50
Exploring Curriculum Learning for Languages: Lessons from Regular Language Tasks
Author(s): Vanessa Toborek, Florian Seiffarth, Sebastian Müller, Tamás Horváth,
Christian Bauckhage
Time: 16:50 - 17:10
Time: 16:50 - 17:10
Exploring Recommendations Attacks through Blind Optimization
Author(s): Julio Corona, Rafael Teixeira, Mário Antunes, Rui L. Aguiar
Time: 17:10 - 17:30
Time: 17:10 - 17:30
Closing
Speaker(s): Sašo Džeroski (Jožef Stefan Institute), Vida Groznik (University of
Ljubljana)
Time: 17:30 - 17:40
Time: 17:30 - 17:40
AI & Life Sciences
Exploration of EEG-Based Neural Population Models Using A Probabilistic Grammar
Author(s): Nina Omejc; Sabin Roman; Ljupčo Todorovski; Sašo Džeroski
Time: 16:30 - 16:45
Time: 16:30 - 16:45
Foundation Models for EEG: Pre-training and Fine-tuning
Author(s): Sebastjan Kramar; Gašper Slapničar; Lukas Lechner
Time: 16:45 - 17:00
Time: 16:45 - 17:00
Machine Learning Models for Predicting Suicidal Ideation, Depression, Anxiety,
and Stress in the General Population
Author(s): Teodora Matić; Aleksander Sadikov; Peter Pregelj; Polona Rus Prelog
Time: 17:00 - 17:15
Time: 17:00 - 17:15
Insomnia in patients with cognitive decline
Author(s): Tilen Gabršček, Nika Jerman, Polona Rus Prelog, Aleksander Sadikov
Time: 17:15 - 17:30
Time: 17:15 - 17:30
Deep learning-Driven Synthetic Data Generation for Secure Ear Biometrics
Author(s): Iyyakutti Ganapathi; Darian Tomašević; Peter Peer
Time: 17:30 - 17:45
Time: 17:30 - 17:45
AI for Science: Strategies, Policies, Resources
Panel
Speaker(s):
Dr. Lars De Nul, Deputy head of unit, EC, DG Research &Innovation, AI in Science & Critical Technologies Unit (E4),
Dr Tomaž Boh, Director-General of Science and Innovation Directorate, Ministry of higher education, science and innovation,
Dr. Tanasko Tasić, EURAMET e.V., Capacity Building Officer,
Prof Dr Tejs Vegge, Head of the Section for Autonomous Materials Discovery at DTU Energy, Technical University of Denmark, and Director of the Danish National Research Foundation’s Pioneer Center for Accelerating P2X Materials Discovery,
Prof Dr Sašo Džeroski, Head of the Department of Knowledge Technologies at JSI, full professor at the Jozef Stefan International Postgraduate School, and visiting professor at the European Space Agency.
Time: 16:30 - 18:00
Dr. Lars De Nul, Deputy head of unit, EC, DG Research &Innovation, AI in Science & Critical Technologies Unit (E4),
Dr Tomaž Boh, Director-General of Science and Innovation Directorate, Ministry of higher education, science and innovation,
Dr. Tanasko Tasić, EURAMET e.V., Capacity Building Officer,
Prof Dr Tejs Vegge, Head of the Section for Autonomous Materials Discovery at DTU Energy, Technical University of Denmark, and Director of the Danish National Research Foundation’s Pioneer Center for Accelerating P2X Materials Discovery,
Prof Dr Sašo Džeroski, Head of the Department of Knowledge Technologies at JSI, full professor at the Jozef Stefan International Postgraduate School, and visiting professor at the European Space Agency.
Time: 16:30 - 18:00
18:00 – 19:30
Poster session (lobby)
09:00 – 10:30
AI & Space
Opening
Speaker(s): Tanja Permozer, Slovenian Space Office
Time: 9:00 - 9:05
Time: 9:00 - 9:05
Remote Sensing and the Labeled Data Challenge in the Foundation Model Era
Keynote Speaker(s): Lorenzo Bruzzone
Time: 9:05 - 9:55
Time: 9:05 - 9:55
Pretraining for Dense Prediction Tasks in Earth Observation
Author(s): Filip Wolf, Blaž Rolih, Luka Čehovin Zajc
Time: 9:55 - 10:15
Time: 9:55 - 10:15
AI-Driven Habitat Change Detection in Alpine Protected Areas: Foundation Models
vs. Direct Change Detection
Author(s): Harald Kristen, Daniel Kulmer, Manuela Hirschmugl
Time: 10:15 - 10:35
Time: 10:15 - 10:35
AI & Life Sciences
Metric Sensitive Loss for Cardiac Segmentation
Author(s): Muniba Ashfaq; Zoran Bosnić
Time: 9:00 - 9:15
Time: 9:00 - 9:15
Automated Cell Phenotyping in Spatial Proteomics via LLM-Guided Knowledge
Distillation
Author(s): Aroj Hada
Time: 9:15 - 9:30
Time: 9:15 - 9:30
Comparative framework for integrating digital pathology and spatial
transcriptomics
Author(s): Sebastián González Tirado; Jovan Tanevski
Time: 9:30 - 9:45
Time: 9:30 - 9:45
Evaluating the Clinical Utility of Pre-/Post-Operative Brain Tumor Volume
Estimation using SwinUNETR
Author(s): Simon Bele; Dejan Georgiev; Aleksander Sadikov
Time: 9:45 - 10:00
Time: 9:45 - 10:00
TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM
Reasoning
Author(s): Kristian Miok
Time: 10:00 - 10:15
Time: 10:00 - 10:15
Transparent and Reproducible Benchmarking of Machine Learning Methods in Stroke
Data
Author(s): Dimitar Trajkov; Ana Kostovska; Panče Panov; Dragi Kocev
Time: 10:15 - 10:30
Time: 10:15 - 10:30
10:30 – 11:00 · Coffee Break
11:00 – 13:00
AI & Space
Machine Learning and AI for Remote Sensing Application: Promises and Challenges
Keynote Speaker(s): Gilberto Câmara
Time: 11:00 - 11:50
Time: 11:00 - 11:50
Towards a Foundation Model for Water Monitoring: Fusing Aligned and Unaligned
Multimodal Observations
Author(s): Blaž Rolih, Filip Wolf, Alina Machidon, Luka Čehovin Zajc
Time: 11:50 - 12:10
Time: 11:50 - 12:10
Toward Improved Land Surface Forecasts: Foundation Models vs. Task-Specific
Approaches
Author(s): Marieke Wesselkamp, Vitus Benson, Markus Zehner, Sebastian Hoffmann,
Claire Robin, Melanie Weynants, Lazaro Alonso, Christian Reimers, Nuno Carvailhais, Markus
Reichstein
Time: 12:10 - 12:30
Time: 12:10 - 12:30
Deep Learning tools to support deforestation monitoring in the Ivory Coast using
SAR and Optical satellite imagery
Author(s): Matteo Salis, Gabriele Sartor, Stefano Pinardi, Özgür Saracik, Rosa Meo
Time: 12:30 - 12:50
Time: 12:30 - 12:50
Responsible AI SMASH Session
FAIR and environmental sustainability aspects of AI
Invited Speaker(s): Caterina Doglioni
Time: 11:00 - 11:20
Time: 11:00 - 11:20
Establishing and Evaluating Trustworthy AI
Invited Speaker(s): Sebastian Scher
Time: 11:20 - 11:40
Time: 11:20 - 11:40
Regulating AI - the Slovene approach
Invited Speaker(s): Aida Kamišalić Latifić
Time: 11:40 - 12:00
Time: 11:40 - 12:00
Panel discussion
Time: 12:00 - 13:00
AI & Life Sciences
Keynote talk by Guido Sanguinetti
Keynote Speaker(s): Guido Sanguinetti
Time: 11:00 - 12:00
Time: 11:00 - 12:00
Evaluation of knowledge graph construction methods for the stroke domain
Author(s): Elena Atanasoska; Boshko Koloski; Dragi Kocev
Time: 12:00 - 12:15
Time: 12:00 - 12:15
Priming deep neural networks with knowledge graphs improves the explainability of
condition-specific gene sets in Arabidopsis
Author(s): Jan Zrimec
Time: 12:15 - 12:30
Time: 12:15 - 12:30
Context-Aware predictor of T-cell Antigens (CAPTAn) uncovers novel immunogenic
microbial and viral peptides
Author(s): Martin Stražar, Jihye Park, Jennifer Abelin, Hannah Taylor, Thomas
Pedersen, Damian Plichta, Eric Brown, Basak Eraslan, Kayla Ortiz, Yuan-Mao Hung, Karl Clauser,
Steven Carr, Ramnik J. Xavier, Daniel B. Graham.
Time: 12:30 - 12:45
Time: 12:30 - 12:45
Multi-Objective Active Learning for Nanobody Development
Author(s): Katharina Dost, Klara Kropivšek, Christian L. Camacho Villalón, Sašo
Džeroski, Ario de Marco
Time: 12:45 - 13:00
Time: 12:45 - 13:00
Assessing the Potential of Large Language Models for In-Context Few-Shot
Molecular Learning in Ligand-Based Drug Design
Author(s): Marko Jukič; Anja Kolarič; Urban Bren
Time: 13:00 - 13:15
Time: 13:00 - 13:15
AI & Material Science
Finding Constitutive Models for Aluminium and Steel Alloys using Symbolic
Regression
Author(s): Gabriel Kronberger, Evgeniya Kabliman
Time: 11:00 - 11:15
Time: 11:00 - 11:15
Machine Learning for the mechanical properties of recycled polymers
Author(s): Dimitra Tsimpli, Nicholas Fantuzzi, Micaela Degli Esposti, Francesco
Fabbrocino, Jacopo Agnelli, Aldo Pierattini
Time: 11:15 - 11:30
Time: 11:15 - 11:30
GARNET: A Domain Knowledge-Informed Graph Attention Residual Network for
Molecular Property Prediction
Author(s): Iman Peivaste
Time: 11:30 - 11:45
Time: 11:30 - 11:45
Integrating AI and Computational Mechanics for Advanced Discovery of
High-Performance Composite Materials
Author(s): saeedeh Qaderi
Time: 11:45 - 12:00
Time: 11:45 - 12:00
Inverse Design of Thermoelectric Materials Using Diffusion-Based Generative
Modeling
Author(s): Patrícia Ramos, José M. Oliveira, Beatriz A. Santos, Elsa B. Lopes,
Sandra Rabaça, António P. Gonçalves
Time: 12:00 - 12:15
Time: 12:00 - 12:15
13:00 – 14:30 · Lunch Break
14:30 – 16:00
AI & Space
Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label
Remote Sensing Image Classification
Author(s): Marjan Stoimchev, Boshko Koloski, Jurica Levatić, Dragi Kocev, Sašo
Džeroski
Time: 14:30 - 14:50
Time: 14:30 - 14:50
Near Real-Time Flood Mapping from Sentinel Data Using Machine Learning Techniques
Author(s): Matija Gerčer, Bujar Fetai, Tanja Grabrijan, Krištof Oštir
Time: 14:50 - 15:10
Time: 14:50 - 15:10
Orthorectification of satellite images with AI-extracted road networks
Author(s): Aleš Marsetič, Peter Pehani, Nina Krašovec
Time: 15:10 - 15:30
Time: 15:10 - 15:30
Skeleton-Conditioned Diffusion for Interpretable Exoplanet Spectral Retrieval
Author(s): Ran Liu
Time: 15:30 - 15:50
Time: 15:30 - 15:50