Time;Authors;Project Title

10:15 - 10:30;Joel Wendin and Claudio Altafini;A Network Perspective on Gradient Flow Equations for Deep Linear Neural Networks 10:30 - 10:45;Misgina Tsighe Hagos and Claes Lundström;Considering the Correlation between Epistemic and Aleatoric Uncertainty in Out-of-distribution Detection 10:45 - 11:00;Lauri Seppäläinen, Jakub Kubecka, Jonas Elm and Kai Puolamäki;Fast and Interpretable Machine Learning Modelling of Atmospheric Molecular Clusters 11:00 - 11:15;Ali Zoljodi, Seyedhamidreza Mousavi and Masoud Daneshtalab;Super-QHViT: One-shot Supernet Training for Joint Neural Architecture and Mixed-precision Quantization search of Hybrid Vision Transformers

Time;Authors;Project Title

10:15 - 10:30;Ying Li and Patrick Lambrix;Ontology-based Repairing of ELH⊥ Knowledge Graphs 10:30 - 10:45;Md Fahim Sikder, Daniel de Leng and Fredrik Heintz;Representative Synthetic Data for Fair Decision Making 10:45 - 11:00;Rakhshanda Jabeen, Morgan Ericsson and Jonas Nordqvist;Graph Neural Networks for Software Architecture Recovery and Mapping 11:00 - 11:15;Sushanta Mohapatra and Tosin Adewumi;Augmenting Large Language Models with Knowledge Graphs for Domain-Specific Applications

Time;Authors;Project Title

13:00 - 13:15;Magnus Stivi;The Imaginary Real: A Social Semiotic Analysis of Photorealistic AI Images 13:15 - 13:30;Otto Segersven and Linda Mannila;Co-creating a Tool for Practice and Context-based Learning and Research about AI: Designing the Competence Imitation Game 13:30 - 13:45;Hannah Devinney;Power(ful) Associations: Rethinking “Stereotype” for NLP 13:45 - 14:00;Burcin Genis Ergün;Embodiment, Immersion, and AI: Towards a Heuristic for Human-AI Interaction in Digital Environments

Time;Authors;Project Title

13:00 - 13:15;Linus Jern, Valter Uotila, Cong Yu and Bo Zhao;Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization 13:15 - 13:30;Markus Fritzsche, Elliot Gestrin and Jendrik Seipp;Symmetry-Aware Transformer Training for Automated Planning 13:30 - 13:45;Francesco Ballerin, Erlend Grong and Nello Blaser;SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres 13:45 - 14:00;Anton Eldeborg Lundin, Rasmus Winzell, Hanna Hamrell, David Gustafsson and Hannes Ovrén;Drone Detection Using a Low-Power Neuromorphic Virtual Tripwire

Time;Authors;Project Title

09:00 - 09:15;Noora Abdullah and Oluwatosin Adewumi;Evaluating Mathematical Reasoning in Large Language Models: The Impact of Few-Shot Chain-of-Thought (CoT) Prompting on Accuracy 09:15 - 09:30;Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Jiang, Adrian Weller, Challenger Mishra, David Broman, Joshua Tenenbaum, Mateja Jamnik, Cedegao Zhang and Katherine Collins;Do Language Models Understand What Makes Math Problems Interesting? 09:30 - 09:45;Nemi Pelgrom;Realising Automatic Annotation of Research Papers with LLMs 09:45 - 10:00;Yu Wu, Ke Shu, Jonas Fischer, Lidia Pivovarova, David Rosson, Eetu Mäkelä and Mikko Tolonen;Detecting Latin in Historical Books with Varied Layout: A Multimodal Benchmark

Time;Authors;Project Title

09:00 - 09:15;Joakim Lindén, Ludwig Karlsson, Håkan Forsberg, Masoud Daneshtalab and Ingemar Söderquist;Closing the Loop in Neural Scene Reconstruction: Automated Evaluation and Guided Data Collection 09:15 - 09:30;Amath Sow;Dynamic Multi-Drone Route Planning with Uncertainty and Constraints (DyMuDRoP) 09:30 - 09:45;Jaike van Twiller, Yossiri Adulyasak, Erick Delage, Djordje Grbic and Rune Møller Jensen;Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning 09:45 - 10:00;Elmira Zohrevandi, Nilavra Bhattacharya, Emmanuel Brorsson, Yanqing Zhang, Rasmus Tammia, Andreas Darnell and Gianluca Manca;Designing Explainable AI Dashboard for Process Industry: A Case Study in Copper Mining and Paper-pulp Production

Time;Authors;Project Title

13:00 - 13:15;Daqu Zhang, Looket Dihge, Pär-Ola Bendahl, Ida Arvidsson, Magnus Dustler, Julia Ellbrant, Kim Gulis, Malin Hjärtström, Mattias Ohlsson, Cornelia Rejmer, David Schmidt, Sophia Zackrisson, Patrik Edén and Lisa Rydén;Beyond Region-of-Interest: Full-Breast Mammogram Analysis with Deep Learning for Lymph Node Metastasis Prediction in Early Breast Cancer 13:15 - 13:30;Sahar Kadkhodamasoum Ali and Morteza Esmaeili;Brain Tumor MRI Reporting with Generative Multimodal AI 13:30 - 13:45;Lisa M. Menacher, Liam J. Ward, Fredrik Heintz, Henrik Green and Oleg Sysoev;LCMS-Net: Deep learning for raw high resolution mass spectrometry data applied to forensic cause-of-death screening. 13:45 - 14:00;Anantha Divakaruni, Ludovic Phalippou and Francois Bares;AI-qualizing Science

Time;Authors;Project Title

13:00 - 13:15;Per Storrø Petersen;Measuring of ethical AI literacy – a feasibility study 13:15 - 13:30;Natalia Murashova, Leonora Onarheim Bergsjø, Aida Omerovic, Heidi E. I. Dahl and Diana Saplacan Lindblom;Adding an ethical lens to risk modelling: ENACT vocabulary and steps for ethical risk assessment of AI in practice 13:30 - 13:45;Frida Hartman, Maïmouna Matikainen-Soreau and Linda Mannila;Who conducts research on AI bias? 13:45 - 14:00;Rebekka Soma-Jestilä and Linda Mannlia;Human Competence and Autonomy in the Age of AI: A Phenomenological Inquiry