Authors;Title;ID

Raghav Bongole, Mikael Skoglund and Tobias Oechtering;Information-Theoretic Minimax Regret Upper Bounds for Reinforcement Learning Problems;P1.1 Joel Wendin and Claudio Altafini;A Network Perspective on Gradient Flow Equations for Deep Linear Neural Networks;P1.2 Shreeram Murali, Cristian Rojas and Dominik Baumann;Computationally Lightweight Classification with Frequentist Uncertainty Intervals;P1.3 Louis Ohl and Hugo Senetaire;Your Contrastive Learning Model is Secretly an Energy Based Model and You Should Treat it Like One;P1.4 Matthias Möller, Arvid Norlander, Pedro Zuidberg Dos Martires and Luc De Raedt;Neurosymbolic Decision Trees;P1.5 Markus Fritzsche, Elliot Gestrin and Jendrik Seipp;Symmetry-Aware Transformer Training for Automated Planning;P1.6

Authors;Title;ID

Mina Abd Nikooie Pour, Prithwish Tarafdar, Anton Wiberg, Huanyu Li, Johan Moverare and Patrick Lambrix;PBF-AMP-Onto: An Ontology for Powder Bed Fusion Additive Manufacturing Processes;P2.1 Nemi Pelgrom;Realising Automatic Annotation of Research Papers with LLMs;P2.2 Varpu Vehomäki and Kimmo Kaski;Simplifying Common Vulnerabilities and Exposures Description Texts Using Large Language Models;P2.3 Maciej P. Jalocha, William O. Michelsen and Johan H. Schmidt;Label Unification for Cross-Dataset Generalization in Cybersecurity NER;P2.4 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;P2.5 Yan Peng;Local AI for Scan-to-BIM: An Experimental Study on LLM-Based Chatbots and Point Cloud Segmentation;P2.6 Noora Abdullah and Oluwatosin Adewumi;Evaluating Mathematical Reasoning in Large Language Models: The Impact of Few-Shot Chain-of-Thought (CoT) Prompting on Accuracy;P2.7

Authors;Title;ID

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;P3.1 Sahar Kadkhodamasoum Ali and Morteza Esmaeili;Brain Tumor MRI Reporting with Generative Multimodal AI;P3.2 Christoforos Spyretos, Iulian Emil Tampu, Joakim Lindblad and Neda Haj-Hosseini;Multi-Stain Histopathology Image Classification with Deep Learning;P3.3 Malin Hjärtström, Ingrid Didriksson, Martin Spångfors, Hans Friberg, Andreas Jakobsson and Attila Frigyesi;Polypharmacy—not ACEi/ARB—independently predicts one-year mortality in critical COVID-19: a machine-learning survival analysis;P3.4 Arina Surko and Hasan Oğul;Retrieving Relevant Single-Cell RNA Sequencing Profiles with Gene Expression Clustering;P3.5 Julia Kropiunig and Øystein Sørensen;Shapley-Based Interpretation of Brain-Cognition Relationships Modelled through Gradient Boosting with Random Effects in Longitudinal Tabular Imaging Data;P3.6

Authors;Title;ID

Erik Persson, Johan Magnusson, Maja Boström, David Gustafsson and Tomas Wilkinson;Person Detection and Localization using WiFi-signals;P4.1 Anton Eldeborg Lundin, Rasmus Winzell, Hanna Hamrell, David Gustafsson and Hannes Ovrén;Drone Detection Using a Low-Power Neuromorphic Virtual Tripwire;P4.2 Christoffer Koo Øhrstrøm, Ronja Güldenring and Lazaros Nalpantidis;Spiking Patches: Asynchronous Spatio-Temporal Tokens for Event Cameras;P4.3

Authors;Title;ID

Zafer Yigit, Håkan Forsberg and Masoud Daneshtalab;Generative Digital Twin Framework for Reliable and Robust AI-Powered Prognostic Systems;P5.1 Adnan Munir and Shizhen Chang;Leveraging GAN-based Perturbations for Adversarial Robust Image Tampering Localization using Multi-Scale Encoder–Decoder Networks;P5.2 Md Fahim Sikder, Daniel de Leng and Fredrik Heintz;Representative Synthetic Data for Fair Decision Making;P5.3 Francesco Ballerin, Erlend Grong and Nello Blaser;SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres;P5.4 Viktor Bergkvist, Johan Rideg and David Gustafsson;A Machine Learning Approach to Neuromorphic 3D Reconstruction;P5.5

Authors;Title;ID

Per Storrø Petersen;Measuring of ethical ai literacy - a feasibility study;P6.1 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;P6.2 Frida Hartman, Maïmouna Matikainen-Soreau and Linda Mannila;Who conducts research on AI bias?;P6.3 Rebekka Soma-Jestilä and Linda Mannlia;Human Competence and Autonomy in the Age of AI: A Phenomenological Inquiry;P6.4 Otto Segersven and Linda Mannila;Co-creating a Tool for Practice and Context-based Learning and Research about AI: Designing the Competence Imitation Game;P6.5 Burcin Genis Ergün;Embodiment, Immersion, and AI: Towards a Heuristic for Human-AI Interaction in Digital Environments;P6.6 Hannah Devinney;Power(ful) Associations: Rethinking “Stereotype” for NLP;P6.7

Authors;Title;OD

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;P7.1 Rakhshanda Jabeen, Morgan Ericsson and Jonas Nordqvist;Graph Neural Networks for Software Architecture Recovery and Mapping;P7.2 Shreyas Shivakumara, Gabriel Eilertsen and Karljohan Lundin Palmerius;Exploring Metric Fusion for Evaluation of NeRFs;P7.3 Joakim Lindén, Ludwig Karlsson, Håkan Forsberg, Masoud Daneshtalab and Ingemar Söderquist;Closing the Loop in Neural Scene Reconstruction: Automated Evaluation and Guided Data Collection;P7.4 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?;P7.5 Lauri Seppäläinen, Jakub Kubecka, Jonas Elm and Kai Puolamäki;Fast and Interpretable Machine Learning Modelling of Atmospheric Molecular Clusters;P7.6 Oz Lee;Efficient & Interpretable Pointer Networks;P7.7

Authors;Title;ID

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;P8.1 Amath Sow;Dynamic Multi-Drone Route Planning with Uncertainty and Constraints (DyMuDRoP);P8.2 Joakim Flink, Bostan Khan and Masoud;FedLoRASwitch: Efficient Federated Learning via LoRA Expert Hotswapping and Routing;P8.3