ESANN 2025 programme

Wednesday, 23.04.2025

09:00 Welcome introduction

09:10 Network Science Meets AI
Organized by: Matteo Zignani, Fragkiskos D. Malliaros, Ingo Scholtes, Roberto Interdonato, Manuel Dileo

09:10 Network Science Meets AI: A Converging Frontier

  • Matteo Zignani, University of Milan (Italy)
  • Fragkiskos D. Malliaros, Université Paris-Saclay (France)
  • Ingo Scholtes, Julius-Maximilians-Universität Würzburg (Germany)
  • Roberto Interdonato, CIRAD (France)
  • Manuel Dileo, University of Milan (Italy)

09:30 Learning of Probability Estimates for System and Network Reliability Analysis by Means of Matrix Learning Vector Quantization

  • Mandy Lange-Geisler , University of Applied Sciences Mittweida (germany )
  • Klaus Dohmen, University of Applied Sciences Mittweida (Germany)
  • Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)

09:50 Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers

  • Manuel Dileo, University of Milan (Italy)
  • Pasquale Minervini, University of Edinburgh; Miniml.AI (United Kingdom)
  • Matteo Zignani, University of Milan (Italy)
  • Sabrina Gaito, University of Milan (Italy)

10:10 Network Science Meets AI - poster spotlights
Organized by: Matteo Zignani, Fragkiskos D. Malliaros, Ingo Scholtes, Roberto Interdonato, Manuel Dileo

10:10 Hyperbolic representation learning in multi-layer tissue networks

  • Domonkos Pogány, Budapest University of Technology and Economics, Department of Artificial Intelligence and Systems Engineering (Hungary)
  • Péter Antal, Budapest University of Technology and Economics, Department of Measurement and Information Systems (Hungary)

10:11 Topology-Aware Activation Functions in Neural Networks

  • Pavel Snopov, University of Texas Rio Grande Valley (USA)
  • Oleg Musin, University of Texas Rio Grande Valley (USA)

10:12 Streaming Continual Learning: fast adaptation and knowledge consolidation in dynamic environment
Organized by: Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Barbara Hammer, Emanuele Della Valle, Davide Bacciu

10:12 Don't drift away: Advances and Applications of Streaming and Continual Learning

  • Andrea Cossu, University of Pisa (Italy)
  • Davide Bacciu, University of Pisa (Italy)
  • Alessio Bernardo, Politecnico di Milano (Italy)
  • Emanuele Della Valle, Politecnico di Milano (Italy)
  • Alexander Gepperth, University of Applied Sciences Fulda (Germany)
  • Federico Giannini, Politecnico di Milano (Italy)
  • Barbara Hammer, CITEC - Bielefeld University (Germany)
  • Giacomo Ziffer, Politecnico di Milano (Italy)

10:32 Compression-based $k$NN for Class Incremental Continual Learning

  • Valerie Vaquet, CITEC, Bielefeld University (Germany)
  • Jonas Vaquet, CITEC, Bielefeld University (Germany)
  • Fabian Hinder, Bielefeld University (Germany)
  • Barbara Hammer, CITEC - Bielefeld University (Germany)

10:52 Stability of State and Costate Dynamics in Continuous Time Recurrent Neural Networks

  • Alessandro Betti, The IMT School for Advanced Studies Lucca (Italy)
  • Marco Gori, DIISM, University of Siena (Italy)
  • Stefano Melacci, University of Siena (Italy)

11:12 Streaming Continual Learning: fast adaptation and knowledge consolidation in dynamic environment - poster spotlights
Organized by: Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Barbara Hammer, Emanuele Della Valle, Davide Bacciu

11:12 Towards Streaming Land Use Classification of Images with Temporal Distribution Shifts

  • Lorenzo Iovine, Politecnico di Milano (Italy)
  • Giacomo Ziffer, Politecnico di Milano (Italy)
  • Andrea Proia, Thales Alenia Space Italia (Italy)
  • Emanuele Della Valle, Politecnico di Milano (Italy)

11:13 Linear Domain Adaptation for Robustness to Electrode Shifts

  • Rui Liu, Bielefeld University (Germany)
  • Benjamin Paassen, Bielefeld University (Germany)

11:14 Reducing the stability gap for continual learning at the edge with class balancing

  • Wei Wei, University of Antwerp - imec, IDLab, Department of Computer Science (Belgium)
  • Matthias Hutsebaut-Buysse, University of Antwerp - IDLab - imec (Belgium)
  • Tom De Schepper, imec (Belgium)
  • Kevin Mets, University of Antwerp - IDLab - imec (Belgium)

11:15 Replay-free Online Continual Learning with Self-Supervised MultiPatches

  • Giacomo Cignoni, Dipartimento di Informatica, Università di Pisa (Italy)
  • Andrea Cossu, University of Pisa (Italy)
  • Alexandra Gómez Villa, Computer Vision Center, Universitat Autònoma de Barcelona (Spain)
  • Joost van de Weijer, Computer Vision Center, Universitat Autònoma de Barcelona
  • Antonio Carta, University of Pisa (Italy)

11:16 Reward Incremental Learning

  • Yannick Denker, Hochschule Fulda, University of applied sciences (Germany)
  • Alex Gepperth, University of Applied Sciences Fulda (Germany)

11:17 Continual Unlearning through Memory Suppression

  • Alexander Krawczyk, University of Applied Sciences Fulda (Germany)
  • Alex Gepperth, University of Applied Sciences Fulda (Germany)

11:18 Continual Contrastive Learning on Tabular Data with Out of Distribution

  • achmad ginanjar, The University of Queensland (Australia )
  • Xue Li, The University of Queensland (Australia)
  • Priyanka Singh, The University of Queensland (Australia)
  • Wen Hua, The Hong Kong Polytechnic University

11:19 Coffee break

11:40 Unsupervised learning and dimensionality reduction

11:40 Generative Kernel Spectral Clustering

  • Sonny Achten, KU Leuven (Belgium)
  • David Winant, KU Leuven (Belgium)
  • Johan Suykens, KU Leuven (Belgium)

12:00 Can MDS rival with t-SNE by using the symmetric Kullback-Leibler divergence\\ across neighborhoods as a pseudo-distance?

  • John Lee, UCLouvain (Belgium)
  • Pierre Lambert, UCLouvain (Belgium)
  • Edouard Couplet, UCLouvain (Belgique)
  • Pierre Merveille, UCLouvain (Belgique)
  • Ludovic Journaux, Institut Agro Dijon (France)
  • Dounia Mulders, UCLouvain (Belgium)
  • Cyril de Bodt, UCLouvain - ICTEAM (Belgium)
  • Michel Verleysen, UCLouvain - ICTEAM institute (Belgium)

12:20 Adaptive Locally Aligned Ant Technique for Manifold Detection and Denoising

  • Felipe Contreras, University of Groningen - Kapteyn Astronomical Institute (Colombia)
  • Kerstin Bunte, University of Groningen (The Netherlands)
  • Reynier Peletier, University of Groningen (The Netherlands)

12:40 Unsupervised learning and dimensionality reduction - poster spotlights

12:40 Explaining Outliers using Isolation Forest and Shapley Interactions

  • Roel Visser, CITEC - Bielefeld University (Germany)
  • Fabian Fumagalli, CITEC - Bielefeld University (Germany)
  • Maximilian Muschalik, LMU Munich (Germany)
  • Eyke Hüllermeier, LMU Munich (Germany)
  • Barbara Hammer, CITEC - Bielefeld University (Germany)

12:41 Do not get lost in projection: finding the right distance for meaningful UMAP embeddings

  • Eva Blanco-Mallo, Universidade da Coruña (Spain)
  • Verónica Bolón-Canedo, Universidade da Coruña (Spain)
  • Beatriz Remeseiro, University of Oviedo (Spain)

12:42 Lunch

14:10 Image processing and deep learning

14:10 Machine Learning on Smartphone-Captured Diffraction Data

  • Udo Seiffert, University of Magdeburg (Germany)
  • Ashish Shivajirao Jadhav, University of Magdeburg (Germany)
  • Andreas Backhaus, Compolytics GmbH (Germany)

14:30 Exoplanet detection in angular and spectral differential imaging with an accelerated proximal gradient algorithm

  • Nicolas Mil-Homens Cavaco, UCLouvain (Belgique)
  • Laurent Jacques, ICTEAM/UCLouvain (Belgium)
  • Pierre-Antoine Absil, UCLouvain (Belgium)

14:50 Deciphering Barlow Twins: Redundancy Reduction is Insufficient and Normalization is Key

  • Hans-Oliver Hansen, University of Lübeck, Institut for Neuro- and Bioinformatics (Germany)
  • Marius Jahrens, University of Lübeck, Institute for Neuro- and Bioinformatics (Germany)
  • Thomas Martinetz, Institute or Neuro- and Bioinformatics, University of Lübeck (Germany)

15:10 Benchmarking Data Augmentation for Contrastive Learning in Static Sign Language Recognition

  • Ariel Basso Madjoukeng, University of Namur (Belgium)
  • Jérôme Fink, University of Namur (Belgium)
  • Pierre Poitier, University of Namur (Belgium)
  • Bélise Kenmogne Edith, University of Dschang (Cameroun)
  • Benoit Frénay, Université de Namur (Belgium)

15:30 JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning

  • Tristan Kenneweg, Univerisity of Bielefeld (Germany)
  • Philip Kenneweg, University Bielefeld (Germany)
  • Barbara Hammer, CITEC - Bielefeld University (Germany)

15:50 A variational framework for local learning with probabilistic latent representations

  • Cabrel Teguemne Fokam, CITEC - Bielefeld University (Germany)
  • Khaleelulla Khan Nazeer, Technical University Dresden (DE)
  • Christian Mayr, Technical University Dresden
  • Anand Subramoney, Royal Holloway, University of London (United Kingdom)
  • David Kappel, CITEC - Bielefeld University

16:10 Enhancing Image Classification in Quantum Computing: A Study on Preprocessing Techniques and Qubit Limitations

  • Henrique Alves Barbosa, Universidade Federal de Minas Gerais (Brazil)
  • Gustavo Augusto Pires, Universidade Federal de Minas Gerais (Brazil)
  • Juliana Assis Alves, Universidade Federal de Minas Gerais (Brazil)
  • Luiz Torres, Universidade Federal de Ouro Preto (Brazil)
  • Janier Arias García, Universidade Federal de Minas Gerais (Brazil)
  • Frederico Gualberto Ferreira Coelho, Universidade Federal de Minas Gerais (Brazil)

16:30 Image processing and deep learning - poster spotlights

16:30 Mask-Aware Cropping: Mitigating Mask Imbalance in Segmentation Tasks

  • Robin Ghyselinck, Université de Namur (Belgium)
  • Valentin Delchevalerie, University of Namur (Belgium)
  • Benoit Frénay, Université de Namur (Belgium)
  • Bruno Dumas, University of Namur (Belgium)

16:31 Improving Robustness of Defect Detection models using Adversarial-based Data Augmentation

  • Daniel García, University of Oviedo (Spain)
  • Aleix García, Universidad de Oviedo (Spain)
  • Diego Garcia-Perez, University of Oviedo (SPAIN)
  • Ignacio Diaz-Blanco, University of Oviedo (SPAIN)

16:32 Shallow convolution and attention-based models for micro-expression recognition

  • Tanmay Verlekar, BITS Pilani, Goa campus (India)
  • Prateek Upadhya

16:33 Solar Panel Segmentation on Aerial Images using Color and Elevation Information

  • Gerrit Luimstra, University of Groningen (Netherlands)
  • Kerstin Bunte, University of Groningen (Netherlands)

16:34 Leveraging Segmentation Maps to improve Skin Lesion Classification

  • Simone Bonechi, University of Siena (Italy)
  • Paolo Andreini, University of Siena (Italy)
  • Fiamma Romagnoli, Institute of Informatics and Telematics, CNR (Italy)

16:35 Semantic Segmentation for Waterbody Extraction Using Superpixels and Convolutional Neural Networks Classifier

  • Salim Iratni, UMMTO (Algeria)
  • Ferhat Attal, UPEC (France)
  • Yacine Amirat, UPEC (France)
  • Abdelgahni chibani, UPEC (France)
  • Moussa Diaf, UMMTO (Algeria)

16:36 A feedback-loop approach for galaxy physical properties estimation

  • Davide Zago, University of Turin (Italy)
  • Giovanni Bonetta, Bruno Kessler Foundation (Italy)
  • Rossella Cancelliere, University of Turin (Italy)
  • Mario Gai, National Institute for Astrophysics (INAF) (Italy)

16:37 Generalized Stochastic Pooling

  • Francesco Landolfi, Huawei Technologies (Ireland) Co., Ltd (Ireland)
  • Davide Bacciu, University of Pisa (Italy)

16:38 Hierarchical Residuals Exploit Brain-Inspired Compositionality

  • Francisco M. López, Frankfurt Institute for Advanced Studies (Germany)
  • Jochen Triesch, Frankfurt Institute for Advanced Studies and Goethe-Universität Frankfurt (Germany)

16:39 Comparison of convolutional neural networks approaches applied to the diagnosis of Alzheimer’s disease

  • Leandro Coelho, Federal University of Parana (UFPR) (Brazil)
  • Luiza Scapinello Aquino da Silva, Federal University of Parana (UFPR) (Brazil)
  • Leonardo Alexandre de Geus, Pontifical Catholic University of Parana (UFPR) (Brazil)
  • Viviana Cocco Mariani, Federal University of Parana (UFPR) (Brazil)

16:40 INAM: Image-Scale Neural Additive Models

  • Jana Hüls, Otto-von-Guericke Universität Magdeburg (Deutschland )
  • Jan-Ole Perschewski, Otto von Guericke University Magdeburg (Germany)
  • Sebastian Stober, Otto von Guericke University Magdeburg (Germany)

16:41 Multi-View Graph Neural Network for Image Segmentation : Intermediate vs Late Fusion

  • Elie Karam, Université d'Angers - LARIS Université Catholique de l'Ouest Université Libanaise - EDST (France)
  • Nisrine JRAD, Université Catholique de l'Ouest - LARIS (France)
  • Patty Coupeau, Université d'Angers - LARIS (France)
  • Doron Tobiano, Université Catholique de l'Ouest - LARIS
  • Jean-Baptiste Fasquel, Université d'Angers - LARIS (France)
  • Fahed Abdallah, Université Libanaise - EDST Université de Lorraine - LCOMS

16:42 O-Net: a Brain Tumor segmentation architecture based on U-Net using alternated Pooling

  • Omar EL BARRAJ, LARIS, University of Angers (France)
  • Aya HAGE CHEHADE, LabISEN, Yncrea Ouest (France)
  • Jean-Marie MARION, Université Catholique de l'Ouest - LARIS (France)
  • Mohamad Oueidat, Lebanese University (Lebanon)
  • Pierre Chauvet, Université Catholique de l'Ouest - LARIS (France)
  • Nassib ABDALLAH, LaTIM, INSERM UMR 1101, University of Brest (France)

16:43 Poster exhibition and coffee break

18:15 Walking tour of Bruges with guides

 

Thursday, 24.04.2025

09:00 Foundation and Generative Models for Graphs
Organized by: Davide Rigoni, Luca Pasa, Federico Errica, Daniele Zambon, Davide Bacciu, Stefano Moro

09:00 Foundation and Generative Models for Graphs

  • Davide Bacciu, University of Pisa (Italy)
  • Federico Errica, NEC Laboratories Europe GmbH (Germany)
  • Stefano Moro, University of Padova (Italy)
  • Luca Pasa, University of Padova (Italy)
  • Davide Rigoni, University of Padova (Italy)
  • Daniele Zambon, The Swiss AI Lab IDSIA (Switzerland)

09:20 D4: Distance Diffusion for a Truly Equivariant Molecular Design

  • Samuel Cognolato, University of Padua, Fondazione Bruno Kessler (FBK) (Italy)
  • Davide Rigoni, University of Padova (Italy)
  • Marco Ballarini, University of Padova (Italy)
  • Luciano Serafini, Fondazione Bruno Kessler (FBK) (Italy)
  • Stefano Moro, University of Padova (Italy)
  • Alessandro Sperduti, University of Padua (Italy)

09:40 Encoding Graph Topology with Randomized Ising Models

  • Domenico Tortorella, University of Pisa (Italy)
  • Antonio Brau, University of Pisa (Italy)
  • Alessio Micheli, Università di Pisa (Italy)

10:00 Robustness in Protein-Protein Interaction Networks: A Link Prediction Approach

  • Alessandro Dipalma, University of Pisa (Italy)
  • Domenico Tortorella, University of Pisa (Italy)
  • Alessio Micheli, Università di Pisa (Italy)

10:20 3-WL GNNs for Metric Learning on Graphs

  • Aldo Moscatelli, LITIS Lab Université Rouen Normandie France (France)
  • Maxime Berar, LITIS Lab, Université Rouen Normandie (France)
  • Pierre Héroux, LITIS Lab Université Rouen Normandie France (France)
  • Florian Yger, LITIS - INSA Rouen Normandie (France)
  • Sebastien Adam, LITIS Lab Université Rouen Normandie France (France)

10:40 Foundation and Generative Models for Graphs - poster spotlights
Organized by: Davide Rigoni, Luca Pasa, Federico Errica, Daniele Zambon, Davide Bacciu, Stefano Moro

10:40 Towards Efficient Molecular Property Optimization with Graph Energy Based Models

  • Luca Miglior, University of Pisa (Italy)
  • Lorenzo Simone, Università di Pisa (Italy)
  • Marco Podda, Università di Pisa (Italy)
  • Davide Bacciu, University of Pisa (Italy)

10:41 Coffee break

11:00 Machine learning and applied Artificial Intelligence in cognitive sciences and psychology
Organized by: Caroline König, Alfredo Vellido, Steffen Moritz, Susana Ochoa Güerre

11:00 Machine Learning and applied Artificial Intelligence in cognitive sciences and pyschology: a tutorial

  • Caroline König, Universitat Politècnica de Catalunya (Spain)
  • Alfredo Vellido, Universitat Politècnica de Catalunya (UPC BarcelonaTech) (España)

11:20 Introducing Intrinsic Motivation in Elastic Decision Transformers

  • Leonardo Guiducci, DISPOC, Unisi (Italy)
  • Giovanna Maria Dimitri, Università degli Studi di Siena (italy)
  • Giulia Palma , DISPOC, Unisi (Italy)
  • Antonio Rizzo, DISPOC, Unisi (Italy)

11:40 Direct versus intermediate multi-task transfer learning for dementia detection from unstructured conversations

  • Dan Kumpik , University of Bristol (United Kingdom)
  • Yoav Ben-Shlomo, University of Bristol (United Kingdom)
  • Elizabeth Coulthard, University of Bristol (United Kingdom)
  • Alexander Hepburn, University of Bristol (United Kingdom)
  • Raul Santos-Rodriguez, University of Bristol (United Kingdom)

12:00 Machine learning and applied Artificial Intelligence in cognitive sciences and psychology - poster spotlights
Organized by: Caroline König, Alfredo Vellido, Steffen Moritz, Susana Ochoa Güerre

12:00 The Regulatory Character of Boredom in AI - Towards a Self-Regulating System based on Spiking Neural Networks

  • Patrick Schoefer, Department of Neuromorphic Information Processing, Leipzig University (Germany)
  • James Danckert, Department of Psychology, University of Waterloo (Canada)
  • Peter Stadler, Department of Bioinformatics, Leipzig University (Germany)
  • Martin Bogdan, Leipzig University (Germany)

12:01 Altered emotion recognition from psychiatric patient profiles using Machine Learning

  • Pedro Jesús Copado, Universitat Politècnica de Catalunya (Spain)
  • Martha Ivon Cardenas, Universitat Politècnica de Catalunya (Spain)
  • Alfredo Vellido, Universitat Politècnica de Catalunya (UPC BarcelonaTech) (España)
  • Caroline König, Universitat Politècnica de Catalunya (Spain)

12:02 Explainable deep learning reveals a behavioral strategy underlying human decisions in a spatial navigation task

  • Youri MARQUISE, Institut de la vision, Sorbonne Université (France)

12:03 Sleep Staging with Gradient Boosting and DWT-PSD Features from EEG/EOG Signals

  • Luis Alfredo Moctezuma Pascual, University of Tsukuba (Japan)
  • Yoko Suzuki, University of Tsukuba (Japan)
  • Junya Furuki, University of Tsukuba (Japan)
  • Marta Molinas, Norwegian University of Science and Technology (Norway)
  • Takashi Abe, University of Tsukuba (Japan)

12:04 Multimodal Explainable Automated Diagnosis of Autistic Spectrum Disorder

  • Meryem Ben Yahia, Université Jean-monnet (Austria)
  • Moncef Garouani, IRIT, UMR 5505 CNRS, Université Toulouse Capitole, Toulouse, France (France)
  • Julien Aligon, IRIT, UMR 5505 CNRS, Université Toulouse Capitole, Toulouse, France (France)

12:05 Screening Dyslexia for English: Impact of Heterogeneity in Demographic Variables

  • Enrique Romero, Univesitat Politècnica de Catalunya (Spain)
  • Luz Rello, IE University (Spain)

12:06 Reinforcement learning

12:06 TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning

  • Batıkan Bora Ormancı, Siemens AG/ TU Munich (Germany)
  • Phillip Swazinna, Siemens Technology (Germany)
  • Steffen Udluft, Siemens Technology (Germany)
  • Thomas Runkler, Siemens AG/ TU Munich (Germany)

12:26 Reinforcement learning - poster spotlights

12:26 Robust Evolutionary Multi-Objective Neural Architecture Search for Reinforcement Learning (EMNAS-RL)

  • Nihal Acharya Adde, Volkswagen AG, TU Berlin (Germany)
  • Alexandra Gianzina, Volkswagen AG (Germany)
  • Hanno Gottschalk, TU Berlin (Germany)
  • Andreas Ebert, Volkswagen AG (Germany)

12:27 Is Q-learning an Ill-posed Problem?

  • Philipp Wissmann, Siemens AG (Deutschland)
  • Daniel Hein, Siemens AG (Germany)
  • Steffen Udluft, Siemens Technology (Germany)
  • Thomas Runkler, Siemens AG/ TU Munich (Germany)

12:28 Reinforcement learning-based control system for biogas plants in laboratory scale

  • Alberto Meola, DBFZ Deutsches Biomasseforschungszentrum gGmbH (Germany)
  • Sören Weinrich, Münster University of Applied Sciences (Germany)
  • Oliver Kiefner, DBFZ Deutsches Biomasseforschungszentrum gGmbH (Germany)
  • Félix Delory, DBFZ Deutsches Biomasseforschungszentrum gGmbH (Germany)

12:29 Data-Density guided Reinforcement Learning

  • Leon Lantz, Ludwig-Maximilians-University Munich (Germany)
  • Maximilian Schieder, Ludwig-Maximilians-University Munich (Germany)
  • Michel Tokic, Siemens AG / LMU Munich (Germany)

12:30 Lunch

14:00 Classification and statistical learning

14:00 Reconciling Grokking with Statistical Learning Theory

  • Luca Oneto, University of Genoa (Italy)
  • Sandro Ridella, University of Genoa (Italy)
  • Andrea Coraddu, Delft University of Technology (Netherlands)
  • Davide Anguita, DIBRIS - University of Genova (Italy)

14:20 Coherence-based Sample Selection for Class-incremental Learning

  • Andrea Daou, DATAHERTZ (France)
  • Jean-Baptiste Pothin, DATAHERTZ (France)
  • Paul Honeine, LITIS Lab, Université de Rouen Normandie (France)
  • Abdelaziz Bensrhair, Univ Rouen Normandie, INSA Rouen Normandie, Université Le Havre Normandie, Normandie Univ, LITIS UR 4108 (France)

14:40 Hierarchical decomposition through "Mental Images" evaluation

  • Gianluca Coda, CNR (Italy)
  • Massimo De Gregorio, CNR (Italy)
  • Antonio Sorgente, CNR (Italy)
  • Paolo Vanacore, CNR (Italy)

15:00 Investigating the Impact of Imbalanced Medical Data on the Performance of Self-Supervised Learning Approaches

  • Manuel Laufer, Institute for Neuro- and Bioinformatics, University of Lübeck (Germany)
  • Felicitas Brokmann, Institute for Neuro- and Bioinformatics, University of Lübeck (Germany)
  • Dominik Mairhöfer, Institute for Neuro- and Bioinformatics, University of Lübeck (Germany)
  • Erhardt Barth, Institute for Neuro- and Bioinformatics, University of Lübeck (Germany)
  • Thomas Martinetz, Institute or Neuro- and Bioinformatics, University of Lübeck (Germany)

15:20 Towards Learning Vector Quantization in the Setting of Homomorphic Encryption

  • Thomas Davies, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence and Machine Learning (Germany)
  • Ronny Schubert, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence and Machine Learning (Deutschland)
  • Mandy Lange-Geisler , University of Applied Sciences Mittweida (germany )
  • Klaus Dohmen, University of Applied Sciences Mittweida (Germany)
  • Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)

15:40 Integrating Class Relation Knowledge in Probabilistic Learning Vector Quantization

  • Marika Kaden, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence and Machine Learning (Germany)
  • Ronny Schubert, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence and Machine Learning (Deutschland)
  • Tina Geweniger, Westsächsische Hochschule Zwickau (Germany)
  • Wieland Hermann, SRO AG Spital - Neurologie (Switzerland)
  • Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)

16:00 Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ

  • Marika Kaden, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence and Machine Learning (Germany)
  • Alexander Engelsberger, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence and Machine Learning (Deutschland)
  • Ronny Schubert, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence and Machine Learning (Deutschland)
  • Sofie Lövdal, University Medical Center Groningen (UMCG), Department of Nuclear Medicine and Molecular Imaging Hanzeplein 1, 9713 GZ Groningen -The Netherlands (The Netherlands)
  • Elina van den Brandhof, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Groningen, The Netherlands (The Netherlands)
  • Michael Biehl, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)
  • Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)

16:20 Classification and statistical learning - poster spotlights

16:20 Multiclass Adaptive Subspace Learning

  • Peter Preinesberger, Technical University of Applied Sciences Würzburg-Schweinfurt (Germany)
  • Maximilian Münch, Technische Hochschule Würzburg-Schweinfurt, Center for Artificial Intelligence and Robotics (Germany)
  • Frank-Michael Schleif, Technical University of Applied Sciences Würzburg-Schweinfurt (Germany)

16:21 Ranking the scores of algorithms with confidence

  • Adrien Foucart, Université Libre de Bruxelles (Belgium)
  • Arthur Elskens, Université Libre de Bruxelles (Belgium)
  • Christine Decaestecker, Université Libre de Bruxelles (Belgium)

16:22 The Role of the Learning Rate in Layered Neural Networks with ReLU Activation Function

  • Otavio Citton, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen (The Netherlands)
  • Frederieke Richert, University of Groningen (The Netherlands)
  • Michael Biehl, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)

16:23 Growth strategies for arbitrary DAG neural architectures

  • Stella Douka, Inria ~ Universite Paris-Saclay (France)
  • Verbockhaven Verbockhaven, INRIA (FR)
  • Théo Rudkiewicz, INRIA, Université Paris-Saclay (France)
  • Stéphane Rivaud, INRIA Saclay (France)
  • François P. Landes, INRIA - Université Paris-Saclay (France)
  • Sylvain Chevallier, LISN - Université Paris-Saclay (France)
  • Guillaume Charpiat, INRIA (France)

16:24 Making Convolutional Neural Networks Energy-Efficient: An Introduction

  • Noémie Draguet, University of Namur (Belgium)
  • Benoit Frénay, Université de Namur (Belgium)

16:25 Membership Inference Attack in Random Forests

  • Fatemeh Akbarian, Lund University (Sweden)
  • Amir Aminifar, Lund University (Sweden)

16:26 A new approach to multilayer SVMs

  • Lluis Belanche, Universitat Politècnica de Catalunya (Catalonia, Spain)

16:27 Enhancing Computer Vision with Knowledge: a Rummikub Case Study

  • Simon Vandevelde, KU Leuven (Belgium)
  • Laurent Mertens, KU Leuven
  • Sverre Lauwers, KU Leuven (Belgium)
  • Joost Vennekens, KU Leuven (Belgium)

16:28 Evolutionary Fault Localization Based on the Diversity of Suspiciousness Values

  • Willian Ferreira, Universidade Federal de Goias (UFG) - Instituto de Informatica (INF) (Brazil)
  • Plinio S. Leitao-Junior, Universidade Federal de Goiás (UFG) - Instituto de Informática (INF) (Brazil)
  • Deuslirio Silva-Junior, Universidade Federal de Goias (UFG) - Instituto de Informatica (INF) (Brazil)
  • Rachel Harrison, Oxford Brookes University - School of Engineering, Computing and Maths (United Kingdom)

16:29 Proactive Privacy Risk Assessment for Android Applications: A Machine Learning Based-Approach

  • Narjes Doggaz, Faculty of Sciences of Tunis (Tunisia)
  • Aissa Trad, Faculty of Sciences of Tunis (Tunisia)
  • Hella Kaffel Ben Ayed, Faculty of Sciences of Tunis (Tunisia)

16:30 Time series - poster spotlights

16:30 A Model of Memristive Nanowire Neuron for Recurrent Neural Networks

  • Veronica Pistolesi, University of Pisa (Italy)
  • Andrea Ceni, University of Pisa (Italy)
  • Gianluca Milano, Istituto nazionale di ricerca metrologica (INRiM) (Italy)
  • Carlo Ricciardi, Politecnico di Torino (Italy)
  • Claudio Gallicchio, University of Pisa (Italy)

16:31 Performance monitoring and wear comprehension through Neural Network

  • Thomas Binet, LIPN (Sorbonne Paris Nord) and Safran Aircraft Engines (France)
  • Hanane Azzag, LIPN UMR CNRS 7030, Sorbonne Paris Nord University (USPN) (France)
  • Mustapha Lebbah, Université Paris-Saclay - UVSQ Versailles Campus (France)
  • Jérôme Lacaille, Datalab, Safran Aircraft Engines (France)

16:32 On Domain Generalization for Human Activity Recognition with Mix-Based Methods

  • Otávio Napoli, UNICAMP (Brazil)
  • Edson Borin, UNICAMP - Institute of Computing (Brazil)

16:33 Investigating four deep learning approaches as candidates for unified models in time series forecasting and event prediction: application in anesthesia training

  • Quentin Victor, Nantes University (France)
  • Ianis Clavier, Nantes University (France)
  • Hugo Boisaubert, Nantes University (FRANCE)
  • Fabien Picarougne, Nantes University (France)
  • Corinne Lejus-Bourdeau, Nantes University Hospital (France)
  • Christine Sinoquet, Nantes Digital Science Laboratory (LS2N / UMR CNRS 6004) Nantes University (France)

16:34 Generate Polyphonic Music with Multivariate Masked Autoregressive Flow

  • Massimiliano Sirgiovanni, University of Florence (Italia)
  • Daniele Castellana, University of Florence (Italy)

16:35 Poster exhibition and coffee break

18:30 Visit of the "Halve maan" brewery

19:30 Conference dinner at the "Halve Maan" brewery

 

Friday, 25.04.2025

09:00 Quantum, Quantum Inspired and Hybrid Machine Learning
Organized by: Hans-Martin Rieser, Markus Lange, M. Lautaro Hickmann

09:00 Enhancing Machine Learning with Quantum Methods

  • M. Lautaro Hickmann, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)
  • Markus Lange, Institute for AI-Safety and Security German Aerospace Center (DLR) (Germany)
  • Hans-Martin Rieser, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)

09:20 Quantum Annealing based Feature Selection

  • Daniel Pranjic, Fraunhofer IAO (DE)
  • Bharadwaj Chowdary Mummaneni, Fraunhofer IAO (DE)
  • Christian Tutschku, Fraunhofer IAO (DE)

09:40 Quantum, Quantum Inspired and Hybrid Machine Learning - poster spotlights
Organized by: Hans-Martin Rieser, Markus Lange, M. Lautaro Hickmann

09:40 Encoding hyperspectral data with low-bond dimension quantum tensor networks

  • Fabian Fischbach, German Aerospace Center (DLR) - Institute for AI Safety and Security (Germany)
  • Hans-Martin Rieser, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)
  • Oliver Sefrin, German Aerospace Center (DLR) - Institute of Quantum Technologies (Germany)

09:41 CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

  • Saeed Jahromi
  • Uygar Kurt, MVC (Spain)
  • Sukhi Singh
  • David Montero, Multiverse Computing (Spain)
  • Borja Aizpurua Altuna, Multiverse Computing (Spain)
  • Román Orús Lacort, Multiverse Computing (Spain)

09:42 Quantum Tensor Network Learning with DMRG

  • Gustav Jäger, Deutsches Zentrum für Luft- und Raumfahrt e.V. Institut für KI-Sicherheit (Germany)
  • Martin B. Plenio, Universität Ulm – Institut für Theoretische Physik and IQST (Germany)
  • Hans-Martin Rieser, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)

09:43 Expressivity vs. Generalization in Quantum Kernel Methods

  • Markus Gross, Institute for AI Safety and Security German Aerospace Center (DLR e.V.) (Germany)
  • Markus Lange, Institute for AI-Safety and Security German Aerospace Center (DLR) (Germany)
  • Bogusz Bujnowski, Institute for AI-Safety and Security German Aerospace Center (DLR) (Germany)
  • Hans-Martin Rieser, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)

09:44 Domain adaptation and federated learning

09:44 Adversarial Attacks for Drift Detection

  • Fabian Hinder, Bielefeld University (Germany)
  • Valerie Vaquet, CITEC, Bielefeld University (Germany)
  • Barbara Hammer, Cognitive Interaction Technology (CITEC), Bielefeld University (Germany)

10:04 Conceptualizing Concept Drift

  • Isaac Roberts, Bielefeld University - Faculty of Technology (Germany)
  • Fabian Hinder, Bielefeld University (Germany)
  • Valerie Vaquet, CITEC, Bielefeld University (Germany)
  • Alexander Schulz, Bielefeld University (Germany)
  • Barbara Hammer, CITEC - Bielefeld University (Germany)

10:24 RAM: Retrieval Augmented Modelling for Tabular In-Context Few-Shot Domain Adaptation

  • Oleh Kostromin, Software Competence Center Hagenberg (Austria)
  • Felix Kossak, Software Competence Center Hagenberg (Austria)
  • Michael Zwick, Software Competence Center Hagenberg (Austria)

10:44 Domain adaptation and federated learning - poster spotlights

10:44 Resource-Aware Cooperation in Federated Learning

  • Manuel Röder, Technical University of Applied Sciences Würzburg-Schweinfurt (Germany)
  • Fabian Geiger, JMU Würzburg, Faculty of Business Management and Economics (Germany)
  • Frank-Michael Schleif, Technical University of Applied Sciences Würzburg-Schweinfurt (Germany)

10:45 SecureBFL: a Blockchain-enhanced federated learning architecture with MPC

  • Tanguy Vansnick, University of Mons (Belgique)
  • Leandro Collier, CETIC (Belgique)
  • Saïd Mahmoudi, UMONS (Belgium)

10:46 Coffre break

11:05 Explainable AI and representation learning

11:05 Implicit Neural Decision Trees

  • Francesco Spinnato, University of Pisa (Italy)
  • Antonio Mastropietro, University of Pisa (Italy)
  • Riccardo Guidotti, University of Pisa (Italia)

11:25 Encoding Higher-Order Logic in Spatio-Temporal Hypergraphs for Neuro-Symbolic Learning

  • Bikram Pratim BHUYAN, LISV Laboratory, Université Paris-Saclay (France)
  • Amylia AIT SAADI, LISV Laboratory, Université Paris-Saclay (France)
  • Amar RAMDANE-CHERIF, LISV Laboratory, Université Paris-Saclay (France)

11:45 Project-Specific Code Summarization with Meta-Learning and Explainability Techniques

  • Quang-Huy Nguyen, Faculty of Information Technology, University of Science, Vietnam National University Ho Chi Minh City, Vietnam (Vietnam)
  • Hoai-Phong Le, Faculty of Information Technology, University of Science, Vietnam National University Ho Chi Minh City, Vietnam (Vietnam)
  • Bac Le, Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam Vietnam National University, Ho Chi Minh City, Vietnam (Vietnam)

12:05 Explainable AI and representation learning - poster spotlights

12:05 Trajectory-Embedded Matryoshka Representation Learning for Enhanced Similarity Analysis

  • Federico Pennino, Università di Bologna (Italia)
  • Andrea Gurioli, Università di Bologna (Italy)
  • Maurizio Gabbrielli, Università di Bologna (Italy)

12:06 Encoding Matters: Impact of Categorical Variable Encoding on Performance and Bias

  • Daniel Kopp, ChaLearn (United States of America)
  • Benjamin Maudet, Université Paris-Saclay (France)
  • Lisheng Sun-Hosoya, Université Paris-Saclay (France)
  • Kristin Bennett, Rensselaer Polytechnic Institute (United States)

12:07 Explainable ensemble learning for structural damage prediction under seismic events

  • Michele Baldassini, Department of Information Engineering - University of Pisa (Italy)
  • Pierfrancesco Foglia, Department of Information Engineering - University of Pisa (Italy)
  • Beatrice Lazzerini, Department of Information Engineering - University of Pisa (Italy)
  • Francesco Pistolesi, Department of Information Engineering - University of Pisa (Italy)
  • Cosimo Antonio Prete, Department of Information Engineering - University of Pisa (Italy)

12:08 Interpretable machine learning for the diagnosis of hyperkinetic movement disorders

  • Elina van den Brandhof, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Groningen, The Netherlands (The Netherlands)
  • Jan W.J. Elting, University Medical Center Groningen (UMCG), Department of Neurology, Groningen, The Netherlands (The Netherlands)
  • Inge Tuitert, University Medical Center Groningen (UMCG), Department of Neurology, Groningen, The Netherlands (The Netherlands)
  • A.M. Madelein van der Stouwe, University Medical Center Groningen (UMCG), Department of Neurology, Groningen, The Netherlands
  • Jelle R. Dalenberg, University Medical Center Groningen (UMCG), Department of Neurology, Groningen, The Netherlands (The Netherlands)
  • Marina A.J. Tijssen, University Medical Center Groningen (UMCG), Department of Neurology, Groningen, The Netherlands (The Netherlands)
  • Michael Biehl, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)

12:09 Generating Synthetic Spectral Data using Conditional DDPM

  • Fabian Kubiczek, University of Applied Sciences and Arts Dortmund (Germany)
  • Stefan Patzke, University of Applied Sciences and Arts Dortmund (Germany)
  • Jörg Thiem, University of Applied Sciences and Arts Dortmund (Germany)

12:10 Lunch

13:40 Natural language processing

13:40 Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search

  • Andor Diera, Ulm University (Germany)
  • Lukas Galke, University of Southern Denmark (Denmark)
  • Ansgar Scherp, Ulm University (Germany)

14:00 Natural language processing - poster spotlights

14:00 Open-Vocabulary Robotic Object Manipulation using Foundation Models

  • Stig Griebenow, University of Hamburg (Germany)
  • Ozan Özdemir, University of Hamburg, Dept. of Informatics, WTM (Germany)
  • Cornelius Weber, University of Hamburg, Dept. of Informatics, WTM (Germany)
  • Stefan Wermter, University of Hamburg, Dept. of Informatics, WTM (Germany)

14:01 Improving Privacy Benefits of Redaction

  • Vaibhav Gusain, Trinity College Dublin (Ireland)
  • Douglas Leith, Trinity College Dublin (Ireland)

14:02 Early Prediction of Dynamic Sparsity in Large Language Models

  • Reza Sedghi, Institut für Neuroinformatik, Ruhr-Universität Bochum (Germany)
  • Amit Kumar Pal, Ruhr-Universität Bochum (Germany)
  • Anand Subramoney, Royal Holloway, University of London (United Kingdom)
  • David Kappel, Institut für Neuroinformatik, Ruhr-Universität Bochum (Germany)

14:03 Unlocking Structured Thinking in Language Models with Cognitive Prompting

  • Oliver Kramer, University of Oldenburg (Germany)
  • Jill Baumann, University of Oldenburg (Germany)

14:04 Comparing Modern LLM Quantization Methods Across Natural Languages

  • Maksym Iakovenko, University of Mons (Belgium)
  • Stéphane Dupont, MAIA Artificial Intelligence Lab, Faculty of Science, University of Mons (Belgium)

14:05 Evaluating Concept Discovery Methods for Sensitive Attributes in Language Models

  • Sarah Schröder, Bielefeld University (Germany)
  • Alexander Schulz, Bielefeld University (Germany)
  • Barbara Hammer, CITEC - Bielefeld University (Germany)

14:06 Evaluating Text Representations Techniques for Hypernymy Detection: The Case of Arabic Language

  • Randah Alharbi, King Fahd University of Petroleum and Minerals (Saudi Arabia)
  • Husni Al-Muhtaseb, King Fahd University of Petroleum and Minerals (Saudi Arabia)

14:07 Dynamical systems and recurrent learning

14:07 Towards Adaptive and Stable Compositional Assemblies of Recurrent Neural Network Modules

  • Valerio De Caro, University of Pisa (Italy)
  • Andrea Ceni, University of Pisa (Italy)
  • Davide Bacciu, University of Pisa (Italy)
  • Claudio Gallicchio, University of Pisa (Italy)

14:27 Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural Operators

  • Michiel Straat, Bielefeld University (Germany)
  • Thorben Markmann, Bielefeld University (Germany)
  • Barbara Hammer, CITEC - Bielefeld University (Germany)

14:47 Predictive Coding Dynamics Enhance Model-Brain Similarity

  • Manshan Guo, Goethe universität Frankfurt, Freie universität Berlin (Germany)
  • Michael Samjatin
  • Bhavin Choksi, Goëthe Universität (Germany)
  • sari sadiya, goethe universit frankfurt (Germany)
  • Radoslaw Cichy
  • Gemma Roig

15:07 Efficient Training of Neural SDEs Using Stochastic Optimal Control

  • Rembert Daems, Ghent University (Belgium)
  • Manfred Opper
  • Guillaume Crevecoeur
  • Tolga Birdal, Imperial College London (United Kingdom)

15:27 Dynamical systems and recurrent learning - poster spotlights

15:27 The Reinforced Liquid State Machine: A New Training Architecture for Spiking Neural Networks

  • Dominik Krenzer, Leipzig University - Neuromorphic Information Processing (Germany)
  • Martin Bogdan, Leipzig University (Germany)

15:28 Motif-augmented classical music synthesis via recurrent neural networks

  • Alexandru-Ion Marinescu, Babes-Bolyai University (Romania)

15:29 Analysing the impact of brain-inspired predictive coding dynamics through gradient based explainability methods

  • Bhavin Choksi, Goëthe Universität (Germany)
  • Gionata Paolo Zalaffi, Sapienza University (Italy)
  • Giovanna Maria Dimitri, Università degli Studi di Siena (italy)
  • Gemma Roig, Goëthe Universität (Germany)

15:30 A Pipeline based on Differential Evolution for Tuning Parameters of Synaptic Dynamics Models

  • Ferney Beltran-Velandia, Leipzig University (Germany)
  • Nico Scherf, Max-Planck Institute for Human Cognitive and Brain Sciences (Germany)
  • Martin Bogdan, Leipzig University (Germany)

15:31 Influence of function nodes on automated generation of routing policies with genetic programming

  • Marko Đurasević, University of Zagreb Faculty of Electrical Engineering and Computing (Croatia)
  • Francisco Javiel Gil Gala, University of Oviedo (Spain)

15:32 Towards metacognitive agents: integrating confidence in sequential decision-making

  • Baptiste Pesquet, INRIA (France)
  • Frédéric Alexandre, Inria Bordeaux Sud-Ouest, Talence, France; LaBRI, Universite de Bordeaux, Bordeaux INP, CNRS, UMR 5800, Talence, France; Institut des Maladies Neurodégénératives, CNRS, UMR 5293, Bordeaux, France (France)

15:33 Exploring Model Architectures for Real-Time Lung Sound Event Detection

  • Michiel Jacobs, KU Leuven, UHasselt, Flanders Make (Belgium)
  • Lode Vuegen, KU Leuven Campus Geel (Belgium)
  • Tom Verresen, Ziekenhuis Oost-Limburg (Belgium)
  • Marie Schouterden, Ziekenhuis Oost-Limburg (Belgium)
  • David Ruttens, Ziekenhuis Oost-Limburg, UHasselt (Belgium)
  • Peter Karsmakers, KU Leuven Campus Geel (Belgium)

15:34 Inferring Underwater Topography with Finite Volume Neural Networks

  • Cosku Horuz, University of Lübeck (Germany)
  • Matthias Karlbauer, University of Tübingen (Germany)
  • Timothy Praditia
  • Sergey Oladyshkin
  • Wolfgang Nowak
  • Sebastian Otte

15:35 Artificial Surrogate Model for Computational Fluid Dynamics

  • Abdallah Alfaham, University of Antwerp - imec IDLab - Faculty of Applied Engineering (Belgium)
  • Siegfried Mercelis, University of Antwerp - imec IDLab - Faculty of Applied Engineering (Belgium)

15:36 Poster exhibition and coffee break

17:00 End of conference