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Program

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

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

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
17:00
End of conference
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