Exhibition
Posters
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A Cost-Effective Deep Learning Workflow for High-Throughput Food Formulation
Author
Adar Fridman, Remko Marcel Boom, Serafim Bakalis and Raghavendra Selvan
Abstract
Coming soon
A longitudinal analysis of political neutrality in independent fact-checking
Author
Sahajpreet Singh, Sarah Masud and Tanmoy Chakraborty
Abstract
Coming soon
Accelerated phase identification using deep learning and physics-informed neural network for retrieving physical parameters from SAXS data
Author
Smita Chakraborty
Abstract
Coming soon
Accelerating Water Simulations with Reliable SurrogateModeling: Motivation and Early Directions
Author
Freja Høgholm Petersen, Jesper Mariegaard, Rocco Palmitessa and Allan Engsig-Karup
Abstract
Coming soon
Acoustic field estimation with differentiable physics
Author
Peter Gerstoft, Samuel Verburg and Efren Fernandez-Grande
Abstract
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Advancing Interdisciplinary Research: The European Centreof Excellence in Artificial Intelligence for DigitalHumanities (CoE AI4DH)
Author
Marko Robnik Šikonja, Antoine Doucet, Špela Arhar Holdt,Kaja Dobrovoljc, Simon Krek, Tinca Lukan, Ajda PretnarŽagar, Polona Tratnik, Igor Vobič and Slavko Žitnik
Abstract
Coming soon
AI as an Interdisciplinary Enabler: Case Studies and Ethical Challenges
Author
Zenon Lamprou, Haris Shekeris, Pilar Orero and Konstantinos Avgerinakis
Abstract
Coming soon
AI for Equine Welfare: Detecting Ear Movements forAffective State Assessment
Author
João Alves, Pia Haubro Andersen and Rikke Gade
Abstract
Coming soon
AI:XPERTISE Lab: Embedding AI in Expert Work
Author
Andreas Møgelmose and Kasper Trolle Elmholt
Abstract
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AI-driven strategic intelligence for policy- and decision-making
Author
Jasper van Kempen and Amber Geurts
Abstract
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Auditing generative AI’s cultural imagination
Author
Ingrid Campo-Ruiz
Abstract
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Augmenting Anomaly Detection Datasets with Relighting and Depth Estimation
Author
Ivan Nikolov
Abstract
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Automated Discovery of Sequential Sampling Models
Author
Ibrahim Muhip Tezcan, Daniel Weinhardt and Sebastian Musslick
Abstract
Coming soon
Automated Discovery of Sparse and Interpretable Cognitive Equations
Author
Daniel Weinhardt, Martyna Plomecka, Muhip Tezcan, MariaEckstein and Sebastian Musslick
Abstract
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Automated discovery of structural differences in dynamical systems
Author
Sedighe Raeisi, Pascal Nieters and Sebastian Musslick
Abstract
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Automated Prototyping of Behavioral Experiments with Large Language Models
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Alessandra Brondetta and Sebastian Musslick
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Automatic Classification of Sedimentary Particles for Insights into Past Climate Environment
Author
Nikolai Andrianov and Kasia Sliwinska
Abstract
Coming soon
ColliderML: Enabling Foundation Models in High EnergyPhysics Through Low-Level Detector Data
Author
Daniel Murnane, Paul Gessinger-Befurt, Andreas Salzburger and Anna Zaborowska
Abstract
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Compositional Shielding and Reinforcement Learning for Multi-Agent Systems
Author
Asger Horn Brorholt, Kim Guldstrand Larsen and Christian Schilling
Abstract
Coming soon
Contrastive omics pre-training for multimodal embeddings of genomic sequences
Author
Lyam Baudry, Cyril Matthey-Doret, Amelie Fritz and Celia Raimondi
Abstract
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Deep Learning Segmentation and Analysis of Neural Organoids for Schizophrenia Research
Author
Jack Bodine, Lucrezia Criscuolo, Barbara Lykke Lind and Svetlana Kutuzova
Abstract
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Dynamic Maps from Sparse Observations using Spatio-temporal Coordinates
Author
David Mickisch, Konstantin Klemmer, Mélisande Teng, EstherRolf, Marc Rußwurm and David Rolnick
Abstract
Coming soon
Enabling Selective Classification in NN-based Small-Signal Stability Analysis
Author
Galadrielle Humblot-Renaux, Yang Wu, Sergio Escalera, Thomas B. Moeslund, Xiongfei Wang and Heng Wu
Abstract
Coming soon
Enhancing Deep Generative Decoders with Stochastic Training on Multi-Modal Biomedical Features
Author
Xi Shen, Yan Li, Andreas Bjerregaard and Anders Krogh
Abstract
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Evaluating LLMs as Participant Simulators for Behavioral Science
Author
Sabrina Namazova, Alessandra Brondetta, YounesStrittmatter, Matthew Nassar and Sebastian Musslick
Abstract
Coming soon
Exploring Image–Text Alignment for Radio Galaxy Morphologies
Author
Erica Lastufka, Mariia Drozdova and Svyatoslav Voloshynovskiy
Abstract
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Foundation Model for Multimodal Materials Science
Author
Le Yang, Anoop K Chandran, Sebastien Bompas, Bashir Kazimi, Karen Forberich, Christoph Brabec, Stefan Kesselheim, Stefan Sandfeld, Francesca Toma, Jona Östreicher, FelixLaufer, Muhammad Riaz, Robert Barthel, Ulrich Paetzold, Pascal Friederich, Michael Götte, Eva Unger, Adrian Mirza, Gordan Prastalo and Kevin Maik Jablonka
Abstract
Coming soon
Funding by Algorithm? The responsible use of AI in research funding and assessment
Author
Denis Newman-Griffis, Helen Buckley Woods, Youyou Wu, Mike Thelwall and Jon Holm
Abstract
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Generating Realistic Underwater Images using a Revised Image Formation Model
Author
Vasiliki Ismiroglou, Malte Pedersen, Stefan H. Bengtson, Andreas Aakerberg and Thomas B. Moeslund
Abstract
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Generative AI for Life Cycle Assessment
Author
Lotte Ansgaard Thomsen, Ning An and Massimo Pizzol
Abstract
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GraphNeT: Machine Learning software for seeing the Universe in new light
Author
Troels Christian Petersen, Aske Rosted and Rasmus Ørsøe
Abstract
Coming soon
HClimRep: AI Climate Model for Capturing the Atmosphere, Ocean, and Sea Ice Interactions
Author
Savvas Melidonis, Ankit Patnala, Asma Semcheddine, MartinSchultz, Julius Polz and Kacper Nowak
Abstract
Coming soon
Hyperbolic Contrastive Unlearning
Author
Àlex Pujol Vidal, Kamal Nasrollahi, Sergio Escalera andThomas Moeslund
Abstract
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Hyperbolic Multimodal Representation Learning for Biological Taxonomies
Author
Zeming Gong, Chuanqi Tang, Xiaoliang Huo, Nicholas Pellegrino, Austin T. Wang, Graham W. Taylor, Angel X.Chang, Scott C. Lowe and Joakim Bruslund Haurum
Abstract
Coming soon
Incorporating Quality of Life in Climate Adaptation Planning via Reinforcement Learning
Author
Miguel Costa, Arthur Vandervoort, Martin Drews, KarynMorrissey and Francisco C. Pereira
Abstract
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Integrating Wearables and Food Images for Precision Digital Healthcare
Author
Zhi Ye and Morten Arendt Rasmussen
Abstract
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Introducing RegCheck: Automating consistency checks between study registrations and papers
Author
Jamie Cummins, Beth Clarke, Ian Hussey and Malte Elson
Abstract
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Machine Learning: New Perspectives for Science
Author
Tilman Gocht
Abstract
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Metalens: Scaling Scientific Synthesis through AI-Powered Data Extraction and Dynamic Meta-Analysis
Author
Johanna Einsiedler, Kristin Jankowsky, Jamie Cummins, Linas Vastakas, Alan Hernes, Ulrich Schroeders and Rosa Lavelle-Hill
Abstract
Coming soon
MinervAI: Using Generative AI to Assist, Not Replace Humans in Peer Review
Author
Imogen Hüsing, Tim Petersen, Cornelius Wolff, Moritz-André Weiher and Sebastian Musslick
Abstract
Coming soon
MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification
Author
Alice Schiavone, Desmond Elliott, Melanie Ganz, Marco Fraccaro, Rasmus Bonnevie, Lea Marie Pehrson, Silvia Ingala, Micheal Bachmann Nielsen and Vincent Beliveau
Abstract
Coming soon
Neural Adaptive H∞ Control of an Active Suspension System
Author
Fouzi Tabouri, Kim Guldstrand Larsen and Christian Schilling
Abstract
Coming soon
Neural Networks as Surrogates for Changing Dynamics in Epidemics
Author
Lukas Stelz, Jan Fuhrmann and Pascal Nieters
Abstract
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Neuro-Symbolic Assistants for Science: Compiling Hypotheses into Verifiable Workflows
Author
Alexandre Termier and Luis Galárraga
Abstract
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On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery
Author
David Berghaus, Patrick Seifner, Kostadin Cvejoski and Ramses Sanchez
Abstract
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Online-learning tracking of Qubit control parameters under jump-diffusion type drift
Author
Oswin Krause, Fabrizio Berritta, Ferdinand Kuemmeth, Jacob Hastrup and Morten Kjaergaard
Abstract
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Optimising DMTA through Academia-Industry Partnerships
Author
Fabian Krüger, Andrea Hunklinger, Matthew Ball and Bob Schendel
Abstract
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Physics-Informed Mixture Models and Surrogate Models for Precision Additive Manufacturing
Author
Sebastián Basterrech, Shuo Shan, Debabrata Adhikari and Sankhya Mohanty
Abstract
Coming soon
PolarBERT: A Foundation Model for IceCube
Author
Inar Timiryasov, Jean-Loup Tastet and Oleg Ruchayskiy
Abstract
Coming soon
Predicting Comprehensibility in Scientific Text Based on Word Facilitation
Author
Moritz Hartstang, Martyna Plomecka, Nicole Gotzner and Sebastian Musslick
Abstract
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Protein KABOOM: Kermut-Aided Bayesian Optimization Of Mutations
Author
Mads Herbert Kerrn, Wouter Boomsma and Henry Moss
Abstract
Coming soon
Reinforcement Learning for Efficient Quantum Circuit Equivalence Checking via Tensor Network Contraction
Author
Suhiab Al-Rousan, Kim Guldstrand Larsen, Christian Schilling and Max Tschaikowski
Abstract
Coming soon
Rethinking Large Language Model Development for Chemistry
Author
Nawaf Alampara, Mara Schilling-Wilhelmi, MartiñoRíos-García and Kevin Maik Jablonka
Abstract
Coming soon
Risk-assessment of Mosquito-borne Diseases in African Cities
Author
Venkanna Babu Guthula, Mary Hahm, Stefan Oehmcke, RemigioChilaule, Hui Zhang, Dimitri Gominski, Alex Limwagu,Exavery Chaki, Fredros Okumu, Leka Tingitana, AndersHermund, Lucy S. Tusting, Rasmus Fensholt, Gustavo Riberio,Jakob Brandtberg Knudsen, Yeromin Mlacha, Nico Lang, AnkitKariryaa, Johan Mottelson, Mary Cameron and Christian Igel
Abstract
Coming soon
Storm Surge Forecasting with LSTM Networks
Author
Villy Mik-Meyer, Francisco C. Pereira, Martin Drews andMorten Andreas Dahl Larsen
Abstract
Coming soon
Synthesizability via Reward Engineering: Expanding Generative Molecular AI into Synthetic Space
Author
Dominik Dekleva, Jure Borišek, Martina Hrast-Rambaher, Alexey Voronov, Hannes H. Loeffler, Jon Paul Janet and Albin Ekborg
Abstract
Coming soon
The APEX project - Artificial Intelligence for Policy Excellence in the Climate Crisis: initial results and outlook
Author
João Böger, Oskar Lassen, Francisco Madaleno, Carlos Azevedo, Guido Cantelmo, Filipe Rodrigues, Serio Agriesti and Francisco Pereira
Abstract
Coming soon
The Cost-Benefit of Interdisciplinarity in AI for Mental Health
Author
Katerina Drakos, Eva Paraschou, Simay Toplu, Line Harder Clemmensen, Christoph Lütge, Nicole Nadine Lønfeldt and Sneha Das
Abstract
Coming soon
The Eight Barriers to Implementing Artificial Intelligence in Research: A Researchers' Consensus Qualitative Assessment
Author
Quentin Loisel and Sebastien Chastin
Abstract
Coming soon
The Helmholtz Foundation Model Initiative (HFMI) -Harnessing Foundation Models for Science and Society
Author
Eirini Kouskoumvekaki, Dagmar Kainmueller, Stefan Kesselheim, Stefan Bauer and Fabian Isensee
Abstract
Coming soon
The Helmholtz Model Zoo: A Cloud-Based Platform for AI Model Sharing and Inference in the Helmholtz Association
Author
Hans Werners, Engin Eren, Patrick Fuhrmann and Philipp Heuser
Abstract
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The Quest for Reliable Metrics of Responsible AI
Author
Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsaloand Christina Lioma
Abstract
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Towards a Multidimensional Impact Evaluation Framework for AI Applications in the Energy Sector
Author
Emily Bringmann, Bianca Weber, Celina Kacperski and Florian Kutzner
Abstract
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Towards a Pan-European Generative AI for Population Health
Author
Andrea Ganna
Abstract
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Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
Author
Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski and Ramses Sanchez
Abstract
Coming soon
Towards Foundation Inference Models that Learn ODEs In-Context
Author
Maximilian Mauel, Manuel Hinz, Patrick Seifner, David Berghaus and Ramsés Sánchez
Abstract
Coming soon
Towards multimodal genomic foundation modelling: integrating expression data
Author
Frederikke Marin, Panagiotis Antoniadis, Anders Christensen, Felix Teufel, Anders Krogh, Ole Winter and Wouter Boomsma
Abstract
Coming soon
UNAAGI: Atom-Level Diffusion for Generating Non-Canonical Amino Acid Substitutions
Author
Han Tang and Wouter Boomsma
Abstract
Coming soon
Visual Anomaly Detection for Bycatch Detection onboard Fishing Vessels
Author
Stefan Hein Bengtson, Malte Pedersen, Mathias Søgaard, Claus Reedtz Sparrevohn and Kamal Nasrollahi
Abstract
Coming soon
Demostrations
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Titel
Author
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Abstract
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Speakers
Meet the speakers
Yoshua Bengio
University of Montréal & LawZero
Yoshua Bengio is Full Professor in the Department of Computer Science and Operations Research at Université de Montreal, Co-President and Scientific Director of LawZero.
Max Welling
CTO and Co-founder of CuspAI and Professor at University of Amsterdam
Prof. Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a Merkin distinguished visiting professor at Caltech.
Henna Virkkunen
Executive Vice-President for Tech Sovereignty, Security and Democracy, European Commission
Henna Virkkunen serves as the Executive Vice-President for Tech Sovereignty, Security and Democracy at the European Commission, a role she assumed in December 2024.
Ekaterina Zaharieva
Commissioner for Startups, Research and Innovation at the European Commission
Ekaterina Zaharieva is Commissioner for Startups, Research and Innovation at the European Commision.
Christina Egelund
Danish Minister for Higher Education and Science
The minister will highlight the priority of AI in the strategy the Council of the European Union and Denmark.
David Dreyer Lassen
Rector, University of Copenhagen
At AIS25, Rector will highlight UCPH’s vision for AI in Science as part of the university’s overall vision for research and innovation in Europe.
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