Program
14:30-14:35: Welcome remarks (Room 1i)
14:35-16:00: Poster Session (Hallways outside Room 1i)
16:00-16:30: Coffee Break
16:30-17:30: Panel Career Path (Room 1i)
The participants to the panel session can use the following link to write their questions to the panel members: https://forms.gle/tozdvJ88zBaduo3R7
Panel members
- Giulia Petri (CENTAI, Turin, Italy)
- Corinna Coupette (Max Planck Institute for Informatics, Saarbrücken, Germany)
- Sebastian Tschiatschek (University of Vienna, Vienna, Austria)
Posters
| Authors | Affiliation | Titile |
|---|---|---|
| Ali Khoshvishkaie | Aalto University | Cooperative Bayesian optimization for imperfect agents |
| Amin Dhaou | Ecole Polytechnique | Interpretable multi-step ahead time series forecasting |
| Andrés Tello | University of Groningen | Deep Learning on Graphs for Pressure Estimation in Water Distribution Networks. |
| Christoph Düsing | CITEC, Bielefeld University, Germany | Predictive Diagnostics for Federated Learning: A Privacy-Preserving Toolbox Towards Successful Federated Learning |
| Clara Holzhüter | Fraunhofer IEE Kassel, University of Kassel | Modeling and Operation of Power Grids using Graph Neural Networks |
| Cecília Coelho | Centre of Mathematics (CMAT), University of Minho | Improving Neural ODEs Explainability: A Two-stage Training Method for Modeling Constrained Natural Systems |
| Effrosyni Papanastasiou | Sorbonne University, Paris | Constrained Expectation-Maximisation for inference of social graphs explaining online user-user interactions |
| Erik Schultheis | Aalto University | Multilabel Classification with Large Output Spaces |
| Francisco Mena | University of Kaiserslautern-Landau | Multi-view learning in remote sensing for agricultural applications |
| Francesco Stranieri | Polytechnic of Turin/University of Milan-Bicocca | Performance of Deep Reinforcement Learning Algorithms in Two-Echelon Inventory Control Systems |
| Franka Bause | University of Vienna | Scalable Methods for Graph Similarity |
| Huy Truong | Bernoulli Institute, University of Groningen, The Netherlands | Distorted or High-fidelity data? Improving Graph Neural Networks for state estimation in Water Distribution Systems. |
| James Hinns | University Of Antwerp | Multi-Modal Counterfactual Explanations for Image Classification |
| Johannes Huegle | Hasso Plattner Institute, University of Potsdam, Germany | Causal Discovery in Practice: Non-parametric Conditional Independence Testing & Tooling for Causal Discovery |
| Julia Gastinger | Nec Laboratories Europe and University of Mannheim, Germany | Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting |
| Karima Makhlouf | Inria, LIX, École Polytechnique, IPP, France | On the Impact of Local Differential Privacy on Fairness |
| Kuldeep Rambhai Barad | University of Luxembourg (SnT-Space Robotics) | 6-DoF Generative Grasp Synthesis on Unknown Objects with Diffusion Priors |
| Lisa Bonheme | University of Kent | The polarised regime of variational autoencoders |
| Mahmoud Ibrahim | Maastricht University | Real World Model Performance Monitoring of Medical AI |
| Maik Büttner | Otto-von-Guericke-University Magdeburg | Increasing certainty in diagnostics through stream-based methods |
| Malte Lehna | Fraunhofer IEE | Analysis and Application of Deep Reinforcement Learning in the context of Energy Economics |
| Manuel Dileo | University of Milan | DURENDAL: Roland-based graph deep learning framework for temporal heterogeneous networks |
| Margarita Bugueño | Hasso Plattner Institute, University of Potsdam | When Graph-Based Text Representations Face Text Classification in Challenging Scenarios: A Comprehensive Study Using GNNs |
| Matteo El Hariry | University of Luxembourg | Robust Reinforcement Learning for Multitask Autonomous Robots in Real-World Environments |
| Monika Jain | Indraprastha Institute of Information Technology, Delhi | Context guided relation extraction from text |
| Neeraj Kumar | IIT Delhi | Impact of Normalization in Multimodal AI |
| Paras Sheth | Arizona State University | Generalizing Hate-Speech Detection - A Causal Learning Approach |
| René Heinrich | University of Kassel | Towards interpretable and adversarially robust deep learning algorithms for power system applications |
| Rim El Cheikh | LIMOS, UCA, France | Knowledge-Based Explainability for Neural Networks |
| Samaneh Zolfaghari | University of Cagliari | Exploring the Potential of Locomotion Traces Data Mining in Assisting Individuals with Cognitive Impairment |
| Johanna Schrader | L3S Research Center (Hannover, Germany) | Completing Causal Models by Estimating Average Treatment Effects |
| Sijing Tu | KTH Royal Institute of Technology | Adversaries with Limited Information in the Friedkin–Johnsen Model |
| Sofie Goethals | University of Antwerp | Manipulation Risks in Explainable AI |
| Tobias Fritz | Universität der Bundeswehr München | PhD Forum: Leveraging tree-structured Graphs in Graph Neural Networks for Fake News Detection |
| Vadim Liventsev | TU Eindhoven | BF++: a language for general-purpose program synthesis |
| Yueqing Xuan | RMIT University, Australia | Towards User Empowerment in Counterfactual Explanations |
| Zhendong Wang | Stockholm University | Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients |