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
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Asger Horn Brorholt, Kim Guldstrand Larsen and Christian Schilling
Compositional Shielding and Reinforcement Learning for Multi-Agent Systems -
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese and Giulio Ermanno Pibiri
Verifiable Boosted Tree Ensembles -
Charles Pert, Dalal Alrajeh and Alessandra Russo
RNN Generalization to Omega-Regular Languages -
Greta Dolcetti, Vincenzo Arceri, Agostino Cortesi and Enea Zaffanella
On the Verification of ML Systems and Models -
Jaouhar Slimi, Tristan Le Gall and Augustin Lemesle Passive
Learning of Lattice Automata from Recurrent Neural Networks -
Arshad Beg, Diarmuid O'Donoghue and Rosemary Monahan
Leveraging LLMs for Formal Software Requirements: Challenges and Prospects -
Shenghui Chen, Shufang Zhu, Giuseppe De Giacomo and Ufuk Topcu
Learning to Coordinate without Communication under Incomplete Information -
Ishan Saxena, Dominik Grundt, Eike Möhlmann and Bernd Westphal
Towards Runtime Detection of Novel Traffic Situations -
Riccardo Borsetto and Margherita Zorzi
NAMOR: a New Agda Library for Modal Extended Sequents -
Faezeh Labbaf, Tomáš Kolárik, Martin Blicha, Grigory Fedyukovich, Michael Wand and Natasha Sharygina
Space Explanations of Neural Network Classification -
Dennis Groß, Helge Spieker and Arnaud Gotlieb
Verifying Memoryless Sequential Decision-making of Large Language Models -
Lucas Fortunato Das Neves, Chrysoula Zerva and Alessandro Gianola
A Proposal For Handling Query Ambiguity For Process Mining Tasks -
José João Ferreira, Nuno Policarpo, José Fragoso Santos, Alcino Cunha and Alessandro Gianola
First-Order Linear Temporal Logic for Testing Distributed Protocols -
Luca Geatti
Automata Cascades for Model Checking -
Celeste Veronese, Daniele Meli and Alessandro Farinelli
Scaling DRL Training via Symbolic Knowledge Transfer -
Lorenzo Balboni, Federico Manzella and Guido Sciavicco
Let the Music Flow Where the Modal Branches Lead -
Hazem Dewidar and Elena Umili
Fully Learnable Neural Reward Machines -
Giuseppe De Giacomo, Yves Lespérance and Matteo Mancanelli
Strategic Reasoning over Golog Programs in the Nondeterministic Situation Calculus -
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
Work-In-Progress papers
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Leonardo Ceragioli and Giuseppe Primiero
A Proof System with Causal Labels (Part I): checking Individual Fairness and Intersectionality -
Cosimo Perini Brogi
From Applicative Programming to Verification-based Knowledge: A Curry-Howard-Lambek Reading -
Raik Dankworth and Gesina Schwalbe
Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties -
Ana Maria Gomez-Ruiz, Alexandre Donzé and Thao Dang
RLROM: Monitoring and Training Reinforcement Learning Agents using Signal Temporal Logic -
Melissa Antonelli, Arnaud Durand and Juha Kontinen
Circuit Complexity Meets Discrete Ordinary Differential Equations: An Overview -
Leonardo Ceragioli and Giuseppe Primiero
A Proof System with Causal Labels (Part II): checking Counterfactual Fairness -
Mohammad Afzal, Ashutosh Gupta, R Venkatesh and S. Akshay
False Positives in Robustness Checking of Neural Networks -
Alessandro Gianola and Chrysoula Zerva
Compliance Checking for Public Administration Processes using Retrieval-Augmented Generation in LLMs: Novel Directions and Challenges -
Yilian Huang, Cosimo Perini Brogi and Rocco De Nicola
Reasoning on Privacy Policies -
Sandamali Yashodhara Wickramasinghe, Jacob M. Howe and Laure Daviaud
Extracting Weighted Finite Automata from RNNs via iterative partitioning and spectral learning