Accepted papers

We are glad to announce the papers accepted for presenting at the OVERLAY 2025 workshop. The workshop program will be announced shortly.

Papers

  1. Asger Horn Brorholt, Kim Guldstrand Larsen and Christian Schilling Compositional Shielding and Reinforcement Learning for Multi-Agent Systems
  2. Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese and Giulio Ermanno Pibiri Verifiable Boosted Tree Ensembles
  3. Charles Pert, Dalal Alrajeh and Alessandra Russo RNN Generalization to Omega-Regular Languages Download
  4. Greta Dolcetti, Vincenzo Arceri, Agostino Cortesi and Enea Zaffanella On the Verification of ML Systems and Models Download
  5. Jaouhar Slimi, Tristan Le Gall and Augustin Lemesle Passive Learning of Lattice Automata from Recurrent Neural Networks Download
  6. Arshad Beg, Diarmuid O'Donoghue and Rosemary Monahan Leveraging LLMs for Formal Software Requirements: Challenges and Prospects Download
  7. Shenghui Chen, Shufang Zhu, Giuseppe De Giacomo and Ufuk Topcu Learning to Coordinate without Communication under Incomplete Information Download
  8. Ishan Saxena, Dominik Grundt, Eike Möhlmann and Bernd Westphal Towards Runtime Detection of Novel Traffic Situations Download
  9. Riccardo Borsetto and Margherita Zorzi NAMOR: a New Agda Library for Modal Extended Sequents Download
  10. Faezeh Labbaf, Tomáš Kolárik, Martin Blicha, Grigory Fedyukovich, Michael Wand and Natasha Sharygina Space Explanations of Neural Network Classification
  11. Dennis Groß, Helge Spieker and Arnaud Gotlieb Verifying Memoryless Sequential Decision-making of Large Language Models
  12. Lucas Fortunato Das Neves, Chrysoula Zerva and Alessandro Gianola A Proposal For Handling Query Ambiguity For Process Mining Tasks Download
  13. José João Ferreira, Nuno Policarpo, José Fragoso Santos, Alcino Cunha and Alessandro Gianola First-Order Linear Temporal Logic for Testing Distributed Protocols Download
  14. Luca Geatti Automata Cascades for Model Checking Download
  15. Celeste Veronese, Daniele Meli and Alessandro Farinelli Scaling DRL Training via Symbolic Knowledge Transfer
  16. Lorenzo Balboni, Federico Manzella and Guido Sciavicco Let the Music Flow Where the Modal Branches Lead
  17. Hazem Dewidar and Elena Umili Fully Learnable Neural Reward Machines Download
  18. Giuseppe De Giacomo, Yves Lespérance and Matteo Mancanelli Strategic Reasoning over Golog Programs in the Nondeterministic Situation Calculus Download
  19. Kristina Gogoladze, Natasha Alechina, Romy van Jaarsveld, Ronald De Jong, Yasmina Al Khalil, Gino Kuiper, Brian Logan and Jelle P. Ruurda Run-time verification of robot-assisted surgery using visual input Download

Work-In-Progress papers

  1. Leonardo Ceragioli and Giuseppe Primiero A Proof System with Causal Labels (Part I): checking Individual Fairness and Intersectionality Download
  2. Cosimo Perini Brogi From Applicative Programming to Verification-based Knowledge: A Curry-Howard-Lambek Reading Download
  3. Raik Dankworth and Gesina Schwalbe Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties Download
  4. Ana Maria Gomez-Ruiz, Alexandre Donzé and Thao Dang RLROM: Monitoring and Training Reinforcement Learning Agents using Signal Temporal Logic Download
  5. Melissa Antonelli, Arnaud Durand and Juha Kontinen Circuit Complexity Meets Discrete Ordinary Differential Equations: An Overview Download
  6. Leonardo Ceragioli and Giuseppe Primiero A Proof System with Causal Labels (Part II): checking Counterfactual Fairness Download
  7. Mohammad Afzal, Ashutosh Gupta, R Venkatesh and S. Akshay False Positives in Robustness Checking of Neural Networks Download
  8. Alessandro Gianola and Chrysoula Zerva Compliance Checking for Public Administration Processes using Retrieval-Augmented Generation in LLMs: Novel Directions and Challenges Download
  9. Yilian Huang, Cosimo Perini Brogi and Rocco De Nicola Reasoning on Privacy Policies Download
  10. Sandamali Yashodhara Wickramasinghe, Jacob M. Howe and Laure Daviaud Extracting Weighted Finite Automata from RNNs via iterative partitioning and spectral learning Download