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Index of Titles

A complete list of all conference contributions. Use the alphabetical filter or the search box below to find specific submissions. Click on any contribution to view its session details.

List by Initial Letter: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z " All Titles

Contribution Title	Author(s)	Session
M²S³OM-graph: A Hybrid Deterministic-LLM Pipeline for Automated Metadata Crosswalk Extraction and Graph-Grounded Interoperability	Casas Castro, Santiago	Poster Session I
Machine Learning for Rogue Wave Prediction in the Southern North Sea	Thilakarathne, Salika (1); Teutsch, Ina (2); Barros de Andrade e Sousa, Lisa (3); Keil, Paul (1,3); Piraud, Marie (3); Weisse, Ralf (1)	Poster Session II
Machine Learning Green Functions for Magnetic Materials and Spintronics (MLGREEN)	Lokamani, Lokamani (1); Kosma, Adamantia (2); Blügel, Stefan (2); Cangi, Attila (1)	Poster Session II
Machine Learning-Accelerated Prediction of Hydrogen Embrittlement fromTEM Microstructures	Ruzaeva, Karina (1); Ravikumar, Aravinth (2); Kazimi, Bashir (1); Höche, Daniel (2); Sandfeld, Stefan (1)	Poster Session II
Machine Learning-based RNA Design for the Development of Efficient mRNA Therapeutics	Mir, Zahra; Marsico, Annalisa	Poster Session II
Machine-Learned Interatomic Potentials for Fe–Ni Alloys: Benchmarking MACE Models for Magnetism and Phase Stability	Ramakrishna, Kushal (1); Lokamani, Mani (1); Cangi, Attila (1,2)	Poster Session II
MADRNA: A Physics-Informed Machine-Learned Coarse-Grained Force Field for RNA	de Bruyn, Emile (1); Dorn, Anton (1); von der Lehr, Fabrice (2); Knechtges, Philipp (2); Schug, Alexander (3); Kesselheim, Stefan (1)	Session 2b: Domain-informed Methods
Managing AI/ML lifecycle: tools and needs	Berberi, Lisana; Kozlov, Valentin; Kieckhefen, Paul	AI World Café
MatBind: Probing the multimodality of materials science with contrastive learning	Yang, Le (1); Chandran, Anoop K. (9); Östreicher, Jona (3); Mirza, Adrian (2); Bompas, Sebastien (1); Kazimi, Bashir (1); Kesselheim, Stefan (9,4); Friederich, Pascal (3); Jablonka, Kevin Maik (2,6,7,8); Sandfeld, Stefan (1,5)	Poster Session II
Measuring Diversity in Multi-Agent Motion Generation	Schlauch, Christian (1,2); Klein, Nadja (1)	Poster Session II
Messanger RNA Untranslated Region Design through Transformers	Guerci, Lorenzo (1); Szczurek, Ewa (1,2)	Poster Session I
Meta-Learning for Phenotypic Drug Discovery with Transformer Neural Processes	Kmicikiewicz, Michal (1,2); Rochussen, Tommy (2,3,4); Fortuin, Vincent (3,4,6); Szczurek, Ewa (1,5)	Poster Session I
metabeta - A fast neural model for Bayesian mixed-effects regression	Kipnis, Alex; Binz, Marcel; Schulz, Eric	Poster Session I
Microsecond Latency Graph Neural Network Inference on Point Clouds	Neu, Marc; Ferber, Torben; Becker, Jürgen	Session 4b: Infrastructure & Tools
Mind the Gap – From expectation to reality in agentic AI	Vahidi, Peyman (1,2); Lobentanzer, Sebastian (1,2)	Poster Session I
Mind The Gap: Continuous Magnification Sampling For Pathology Foundation Models	Möllers, Alexander (1,2,3); Hense, Julius (1,2); Schulz, Florian (1,2); Milbich, Timo (3); Alber, Maximilian (3); Ruff, Lukas (3,4)	Poster Session I
MLArray: Unifying Machine Learning-Optimized Array Storage and Imaging Metadata	Gotkowski, Karol; Dreher, Kris	Poster Session I
MLflow pilot service for Helmholtz researchers	Berberi, Lisana; Laures, Christophe; Alibabaei, Khadijeh; Kozlov, Valentin; Streit, Achim	Poster Spotlight Talks I
MLflow pilot service for Helmholtz researchers	Berberi, Lisana; Laures, Christophe; Alibabaei, Khadijeh; Kozlov, Valentin; Streit, Achim	Poster Session I
Modeling Long Contexts with Hierarchical Compression Transformers	Ewert, Eske; Bedrunka, Mario Christopher; Kesselheim, Stefan	Poster Session I
Modeling Neuro–Behavioral State Dynamics from Longitudinal Multimodal Recordings	Tillmann, Jens (1); Schmidt, Tobias (2); Huang, Ziyan (1); Bahlouli, Amine (1); Schneider, Steffen (2); Gründemann, Jan (1,3)	Poster Session II
Modelling Patient Variation Across Datasets And Diseases With Contrastive Learning On Single-Cell Data	Shitov, Vladimir A. (1,4); Frey, Benjamin M. (1,4); Moghareh Dehkordi, Mohammad (2); Richter, Till (1,2); Bahrami, Mojtaba (1,3); Schonner, Emma Maria (2); Naciri Zerta, Youssef (1); Theis, Fabian J. (1,2,3); Luecken, Malte D. (1,4)	Session 2a: Robust & Multi-modal Learning
MolecuLA: Learning Molecules As A Language For Generative And Interpretable Chemistry	Elabid, Zakaria (1); Cangi, Attila (1); Andrzejewski, Jan (1,2); Brzoza, Bartosz (1,2)	Poster Session I
muBRAND: Multi-Branch Diffusion for Flexible Generation and Inpainting of Image Series	Kropp, Jan-Oliver (1,2,3); Amunts, Katrin (1,3); Dickscheid, Timo (1,2,4); Schiffer, Christian (1,2)	Poster Session I
Multimodal Analysis of Organoid Network Dynamics Using Multielectrode Arrays and Calcium Imaging	Ager, Katrina; Vasile-Bodea, Silviu; Mair, Lucas; Westmeyer, Gil; Schneider, Steffen	Poster Session I
Multimodal Data-Driven Forecasting of Coastal Environmental Health in the Baltic Sea	Said, Naina (1); Hepach, Helmke (2); Landsiedel, Olaf (3); Harms, Laura (3)	Poster Session II
Multimodal Data-driven Transfer Learning Impelled Framework for Spatiotemporal Forecasting of Urban Pollution (PM2.5)	Sobanapuram Muruganandam, Narendran; Von Schneidemesser, Erika	Poster Session II
Multimodal graph-based fusion learning for Alzheimer’s disease prediction	Ambast, Shubhi (1,2); Mai, Karola (1,2); Kaumbutha, Charles Mwangi (1,2); Spintge, Jannis (2); Carraro, Caterina (2,4); Beyer, Marc (2,3); Becker, Matthias (1,2)	Poster Session I
Multimodal Machine Learning for Postoperative Atrial Fibrillation Prediction	Mierisch, Julian (1); Niklas, Christian (2); Klotz, Rosa (3); Loewe, Axel (1)	Poster Session I
Multimodal Representation Learning for Pan-Cancer Type Classification Using Attention-Based Set Encoding and Contrastive Pre-Training	Krüger, Fabian Janosch; Uyar, Bora; Akalin, Altuna	Poster Session II