Program for stream Artificial Intelligence, Machine Learning and Optimization

WB-12: AI and Optimization for Warehousing
Stream: Artificial Intelligence, Machine Learning and Optimization
Room: H10
Chair(s): André Hottung

• Learning-Based Adaptive Large Neighborhood Search for Efficient Pod Repositioning in Robotic Mobile Fulfillment Systems
  Lin Xie
• Bringing Light to the Threshold: Evaluation of Production Policies using the Regression Discontinuity Design with Application to LED Manufacturing
  Oliver Schacht, Philipp Schwarz, Sven Klaaßen, Martin Spindler
• Warehouse-Aware Design and Evaluation of Algorithmic Pipelines for Decision-Making in Warehouse Operations
  Janik Bischoff, Hadi Kutabi, Maximilian Barlang, Özge Nur Subas, Uta Mohring, Fabian Dunke, Anne Meyer, Stefan Nickel, Kai Furmans
• Neural Deconstruction Search for Vehicle Routing Problems
  André Hottung, Paula Wong-Chung, Kevin Tierney

WC-12: Explainability and Interpretability in Optimization
Stream: Artificial Intelligence, Machine Learning and Optimization
Room: H10
Chair(s): Daan Otto

• Interpretable Surrogates for Optimization
  Sebastian Merten, Marc Goerigk, Michael Hartisch, Kartikey Sharma
• Counterfactual Explanations in Regression
  Matthias Soppert, Alexandre Forel, Thibaut Vidal, Maxime Cohen
• Coherent Local Explanations for Mathematical Optimization
  Daan Otto, Jannis Kurtz, Ilker Birbil
• Artificial human intelligence: Replicating human decision making for a driving assistant by combining knowledge engineering, computer vision and rule-based inference
  Robert Maximilian Neumann, Taieb Mellouli

WE-12: AI in Optimization Heuristics
Stream: Artificial Intelligence, Machine Learning and Optimization
Room: H10
Chair(s): Roberto Battiti

• Intelligent Optimization: explorations in using Reinforcement Learning for the Online Tuning of Optimization Heuristics
  Roberto Battiti, Mauro Brunato
• Stochastic first-order methods can leverage arbitrarily higher-order smoothness for acceleration
  Chuan He
• Effective Large Neighborhood Search for Flexible Job Scheduling via Neural Deconstruction
  Davide Zago, André Hottung, Fynn Martin Gilbert, Rossella Cancelliere, Kevin Tierney

TA-12: AI for Optimization Modeling
Stream: Artificial Intelligence, Machine Learning and Optimization
Room: H10
Chair(s): Mohsen Nafar

• Reinforcement Learning for Teaching LLMs to Derive Linear Programs
  Florian Roland Breda, Ulf Lorenz
• Interdependence-aware Modeling, Analytics and Optimization for complex Systems’ Business
  Taieb Mellouli
• Each Decision Matters: Creating Word Embeddings as Part of a Historical Research Workflow
  Sophie Jasmin Spliethoff
• A Clustering-based Variable Ordering Framework for Relaxed Decision Diagrams
  Mohsen Nafar, Hamed Azami Zenouzagh, Michael Römer, Lin Xie

TC-12: Insights through Unsupervised Learning
Stream: Artificial Intelligence, Machine Learning and Optimization
Room: H10
Chair(s): Thi Huong Vu

• Optimizing Medical Drone Dispatch and Charging Operations Using Deep Reinforcement Learning
  Abolfazl Maleki, Amin Asadi, Breno Alves Beirigo, Derya Demirtas, Erwin W. Hans
• Unsupervised classification of large-scale text-based datasets with Large Language Model Embeddings
  Tim Kunt, Ida Litzel, Thi Huong Vu
• Clustering scientific publications: lessons learned through experiments with a real citation network
  Thi Huong Vu, Thorsten Koch