Francesco Giuliari: Spatial Reasoning with Graph Neural Networks. University of Genoa, Italy, 2024
Gabriel S. Gusmão: Neural-network representations of chemical kinetics. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Andrew Jena: Graph-Theoretic Techniques for Optimizing NISQ Algorithms. University of Waterloo, Ontario, Canada, 2024
Marieke E. Kootte: Integrated Electrical Steady-State Power Flow Simulations on Transmission and Distribution Networks. Delft University of Technology, Netherlands, 2024
Firas Laakom: Feature Diversity in Neural Networks: Theory and Algorithms. University of Tampere, Finland, 2024
Clement Lacoste: Resource dimensioning of Broadband satellite Return Networks affected by rain fade. University of Luxembourg, Luxembourg City, Luxembourg, 2024
Elisa Gómez de Lope: Interpreting Omics Data in Parkinson's Disease: A Statistical, Machine Learning, and Graph Representation Learning Approach. University of Luxembourg, Luxembourg City, Luxembourg, 2024
Derek P. Metcalf: Building Blocks of Neural Network Intermolecular Interaction Potentials. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Cesare Miglioli: Contributions to the Statistical Analysis of Networks and Graphs. University of Geneva, Switzerland, 2024
Alexander V. Nikitin: Probabilistic Methods for Predictive Maintenance and Beyond: Graph and Human-in-the-Loop Machine Learning. Aalto University, Espoo, Finland, 2024
Johannes von Oswald: Interpretability of Learning Algorithms Encoded in Deep Neural Networks. ETH Zurich, Zürich, Switzerland, 2024
Alisa Pavel: Knowledge Graphs, Network Models and Health Data Science Approaches for Toxicology and Pharmacology. University of Tampere, Finland, 2024
Kalina Petrova: Embedding Large Structures in Adversarially Modified Graphs and Hypergraphs. ETH Zurich, Zürich, Switzerland, 2024
Thorsten Rings: Characterizing Time-Evolving Functional Networks. University of Bonn, Germany, 2024
Siddhartha Sahu: Optimizing Differential Computation for Large-Scale Graph Processing. University of Waterloo, Ontario, Canada, 2024
Tuomas Takko: Data-driven modelling of human behaviour with complex networks ; Ihmiskäyttäytymisen datalähtöinen mallintaminen kompleksisilla verkostoilla. Aalto University, Espoo, Finland, 2024
Neda Tavakoli: Algorithmic Techniques for Variant Selection in Genome Graphs. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Francesco Valente: Design and evaluation of strategies to minimize operating costs and support in-orbit Distributed Learning within satellite networks for Earth Observation. Sapienza University of Rome, Italy, 2024
Chunxing Yin: Fast and compact neural network via Tensor-Train reparameterization. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Hernan Carrillo: Guiding neural networks for image colorization through user interactions. (Colorisation d'images avec réseaux de neurones guidés par l'intéraction humaine). University of Bordeaux, France, 2024
Noé Cecillon: Combining Graph and Text to Model Conversations: An Application to Online Abuse Detection. (Combinaison des graphes et du texte pour la modélisation de conversations: Application à la détection d'abus en ligne). Avignon University, France, 2024
Karl Hajjar: A dynamical analysis of infinitely wide neural networks. (Analyse dynamique des réseaux de neurones de largeur infinie). University of Paris-Saclay, France, 2024
Jialin Hao: Machine learning for road active safety in vehicular networks. (Apprentissage pour la sécurité dans les réseaux véhiculaires). Polytechnic Institute of Paris, Palaiseau, France, 2024
Joe Saad: Evolution of mobile networks architecture and optimization of radio resource management. (Evolution de l'architecture du réseau mobile et optimisation de la gestion des ressources radio). University of Paris-Saclay, France, 2024
Rémy Scholler: Analyse de données de signalisation mobile pour l'étude de la mobilité respectueuse de la vie privée : Application au secteur du transport routier de marchandises. (Analysis of mobile network data for the study of mobility, respectful of privacy : Application to the road freight transport sector). University of Burgundy - Franche-Comté, 2024
Bin Wang: Rainbow structures in properly edge-colored graphs and hypergraph systems. (Structures arc-en-ciel dans les graphes proprement arêtes-colorés et les systèmes des hypergraphes). Shandong University, Jinan, People's Republic of China, 2024