publications

publications by categories by colors (i.e., journals in purple, conferences in dark blue, and workshop/ArXiv in green) in reversed chronological order.

2026

  1. CVPR
    Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs
    Angela van Sprang, Laurens Samson, Ana Lucic, and 3 more authors
    2026
    PDF
  2. EGU
    Leveraging Differentiable Climate-Economy Models for Hybrid Modeling and Inverse Problems
    Koen Ponse, Kai-Hendrik Cohrs, Phillip Wozny, and 8 more authors
    In European Geosciences Union General Assembly 2026
    PDF
  3. ArXiv
    Explaining the Explainer: Understanding the Inner Workings of Transformer-Based Symbolic Regression Models
    Arco van Breda, and Erman Acar
    arXiv preprint 2026
    PDF
  4. ArXiv
    ECSEL: Explainable Classification via Signomial Equation Learning
    Adia Lumadjeng, Ilker Birbil, and Erman Acar
    arXiv preprint 2026
    PDF

2025

  1. ICML
    AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
    Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, and 12 more authors
    In Proceedings of the International Conference on Machine Learning 2025
    PDF
  2. NCA
    Learning in Public Goods Games: The Effects of Uncertainty and Communication on Cooperation
    Nicole Orzan, Erman Acar, Davide Grossi, and 1 more author
    Neural Computing and Applications 2025
    PDF
  3. ArXiv
    ACTIVA: Amortized Causal Effect Estimation via Transformer-Based Variational Autoencoder
    Andreas Sauter, Saber Salehkaleybar, Aske Plaat, and 1 more author
    arXiv preprint 2025
    PDF
  4. ECAI
    Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning
    Satchit Chatterji, and Erman Acar
    In Proceedings of the European Conference on Artificial Intelligence 2025
    PDF
  5. AIES
    Modeling Strategic Risk in School Choice: A Case for Transparent Design
    Mayesha Tasnim, Paul Verhagen, Tobias Blanke, and 2 more authors
    In AAAI/ACM Conference on AI, Ethics, and Society 2025
    PDF
  6. ArXiv
    Successful Misunderstandings: Learning to Coordinate Without Being Understood
    Nikolaos Kondylidis, Anil Yaman, Frank van Harmelen, and 2 more authors
    arXiv preprint 2025
    PDF
  7. xAI
    Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations
    Linh Nguyen, Marcel Boersma, and Erman Acar
    In World Conference on Explainable Artificial Intelligence 2025
    PDF
  8. ArXiv
    EMERGENT: Efficient and Manipulation-Resistant Matching using GFlowNets
    Mayesha Tasnim, Sennay Ghebreab, and Erman Acar
    arXiv preprint 2025
    PDF

2024

  1. xAI
    Explainable Fraud Detection with Deep Symbolic Classification
    Samantha Visbeek, Erman Acar, and Floris Hengst
    In World Conference on Explainable Artificial Intelligence 2024
    PDF
  2. xAI
    CAGE: Causality-Aware Shapley Value for Global Explanations
    Nils Ole Breuer, Andreas Sauter, Majid Mohammadi, and 1 more author
    In World Conference on Explainable Artificial Intelligence 2024
    PDF
  3. AAMAS
    CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
    Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar, and 1 more author
    In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems 2024
    PDF
  4. AAMAS
    Emergent Cooperation under Uncertain Incentive Alignment
    Nicole Orzan, Erman Acar, Davide Grossi, and 1 more author
    In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems 2024
    PDF
  5. ArXiv
    Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework
    Angela van Sprang, Erman Acar, and Willem Zuidema
    arXiv preprint 2024
    PDF
  6. ALA
    Learning in Public Goods Games with Non-Linear Utilities: A Multi-Objective Approach
    Nicole Orzan, Erman Acar, Davide Grossi, and 1 more author
    In ALA Workshop 2024
    PDF
  7. ArXiv
    On the Potential of Network-Based Features for Fraud Detection
    Catayoun Azarm, Erman Acar, and Mickey van Zeelt
    arXiv preprint 2024
    PDF
  8. ArXiv
    Causalplayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
    Andreas W. M. Sauter, Erman Acar, and Aske Plaat
    arXiv preprint 2024
    PDF
  9. CCMAS
    Mitigating School Segregation through Targeted School Relocation
    Mayesha Tasnim, Dimitris Michailidis, Sennay Ghebreab, and 2 more authors
    In Workshop on Citizen-Centric Multiagent Systems 2024
    PDF
  10. ArXiv
    Integrating Fuzzy Logic into Deep Symbolic Regression
    Wout Gerdes, and Erman Acar
    arXiv preprint 2024
    PDF
  11. ArXiv
    Differentiable Inductive Logic Programming for Fraud Detection
    Boris Wolfson, and Erman Acar
    arXiv preprint 2024
    PDF
  12. ArXiv
    Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
    Nicole Orzan, Erman Acar, Davide Grossi, and 2 more authors
    arXiv preprint 2024
    PDF

2023

  1. CleaR
    A Meta-Reinforcement Learning Algorithm for Causal Discovery (forthcoming)
    Andreas Sauter, Erman Acar, and Vincent Francois-Lavet
    In 2nd conference on Causal Learning and Reasoning (CLeaR) 2023
    PDF
  2. ALA
    Emergent Cooperation and Deception in Public Good Games
    Nicole Orzan, Erman Acar, Davide Grossi, and 1 more author
    In ALA Workshop at AAMAS 2023
  3. OSF
    Improved Synthetic Property & Casualty Datasets through Expert Input in Generative Adversarial Networks
    Jan J. Janiszewski, and Erman Acar
    OSF 2023
  4. ArXiv
    AI4GCC-Team–Below Sea Level: Score and Real World Relevance
    Phillip Wozny, Bram Renting, Robert Loftin, and 2 more authors
    arXiv preprint 2023

2022

  1. AIJ
    Analyzing Differentiable Fuzzy Logic Operators
    Emile van Krieken, Erman Acar, and Frank van Harmelen
    Artifical Intelligence 2022
    PDF
  2. ArXiv
    A Meta-Reinforcement Learning Algorithm for Causal Discovery
    Andreas Sauter, Erman Acar, and Vincent François-Lavet
    arXiv preprint arXiv:2207.08457 2022
    PDF
  3. CVPR
    Hyperbolic Image Segmentation
    Mina Ghadimi Atigh, Julian Schoep, Erman Acar, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022
    PDF
  4. AIComJ
    An Argumentative Approach for Handling Inconsistency in Prioritized Datalog\pm Ontologies
    Loan Ho, Somjit Arch-Int, Erman Acar, and 2 more authors
    AI Communications 2022
    PDF
  5. ISJ
    Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach
    Renyan Feng, Erman Acar, Yisong Wang, and 3 more authors
    Information Sciences 2022
    PDF
  6. KR4HI
    A Meta-Learning Algorithm for Interrogative Agendas
    Erman Acar, Andrea De Domenico, Khrishna Manoorkar, and 1 more author
    In Proceedings of the First International Workshop on Knowledge Representation for Hybrid Intelligence 2022
    PDF
  7. HHAI
    Learning to Cooperate with Human Evaluative Feedback and Demonstrations
    Mehul Verma, and Erman Acar
    In Proceedings of Hybrid Human-Artificial Intelligence 2022

2020

  1. AAAI
    Distance-Based Equilibria in Normal-Form Games
    Erman Acar, and Reshef Meir
    In Proceedings of the AAAI Conference on Artificial Intelligence 2020
    PDF
  2. KR
    On Sufficient and Necessary Conditions in Bounded CTL
    Renyan Feng, Erman Acar, Stefan Schlobach, and 2 more authors
    In Proceedings of International Conference on Principles of Knowledge Representation and Reasoning 2020
    PDF
  3. KR
    Reasoning with Contextual Knowledge and Influence Diagrams
    Erman Acar, and Rafael Peñaloza
    In Proceedings of International Conference on Principles of Knowledge Representation and Reasoning 2020
    PDF
  4. ESWC
  5. KR
    Analyzing Differentiable Fuzzy Implications
    Emile van Krieken, Erman Acar, and Frank van Harmelen
    Proceedings of International Conference on Principles of Knowledge Representation and Reasoning 2020
    PDF

2019

  1. IfCoLog
    Semi-Supervised Learning using Differentiable Reasoning
    Emile van Krieken, Erman Acar, and Frank van Harmelen
    Journal of Applied Logics 2019
    PDF
  2. AAAI
    Satisfiability in Strategy Logic can be Easier than Model Checking
    Erman Acar, Massimo Benerecetti, and Fabio Mogavero
    In Proceedings of the AAAI Conference on Artificial Intelligence 2019
    PDF
  3. DL
    Making Decisions over Contextual Ontologies
    Erman Acar, Rafael Penaloza, and Livia Prediou
    In CEUR-Workshop Proceedings for Description Logics Workshop 2019
    PDF
  4. K-CAP
    On the Impact of sameAs on Schema Matching
    Joe Raad, Erman Acar, and Stefan Schlobach
    In Proceedings of the 10th International Conference on Knowledge Capture 2019
    PDF

2018

  1. DL
    Preferential Default Reasoning on the Semantic Web
    Rafael Kiesel, Erman Acar, and Stefan Schlobach
    CEUR-Workshop Proceedings for Description Logics Workshop 2018
    PDF
  2. Doktorarbeit
    Knowledge Representation for Automated Decision Making
    Erman Acar
    Mannheim University Library 2018

2017

  1. AAMAS
    Group Reasoning in Social Environments
    Erman Acar, Gianluigi Greco, and Marco Manna
    In International Foundation for Autonomous Agents and Multiagent Systems 2017
    PDF
  2. IfCoLog
    Multi-attribute Decision Making with Weighted Description Logics
    Erman Acar, Manuel Fink, Christian Meilicke, and 2 more authors
    IfCoLog Journal of Logics and its Applications 2017
    PDF

2016

  1. IJCAI
    Group Decision Making via Probabilistic Belief Merging
    Nico Potyka, Erman Acar, Matthias Thimm, and 1 more author
    In Proceedings of International Joint Conference on Artificial Intelligence 2016 2016
    PDF

2015

  1. ArXiv
    RDF Validation Requirements - Evaluation and Logical Underpinning
    Thomas Bosch, Andreas Nolle, Erman Acar, and 1 more author
    arXiv preprint arXiv:1501.03933 2015
    PDF
  2. ADT
    Towards Decision Making via Expressive Probabilistic Ontologies
    Erman Acar, Camilo Thorne, and Heiner Stuckenschmidt
    In International Conference on Algorithmic Decision Theory 2015
    PDF
  3. SEMANTICS
    The role of Reasoning for RDF Validation
    Thomas Bosch, Erman Acar, Andreas Nolle, and 1 more author
    In Proceedings of SEMANTICS conference 2015
    PDF
  4. K-CAP
    UDecide: A Protégé Plugin for Multiattribute Decision Making (K-CAP 2015)
    Erman Acar, Manuel Fink, Christian Meilicke, and 1 more author
    In 8th International Conference on Knowledge Capture 2015
    PDF

2014

  1. STAIRS
    Computing Subjective Expected Utility using Probabilistic Description Logics.
    Erman Acar
    In Starting AI Researchers’ Symposium 2014
    PDF
  2. PRUV
    Multi-Attribute Decision Making using Weighted Description Logics
    Erman Acar, and Christian Meilicke
    In CEUR Workshop Proceedings for Reasoning with Preferences, Uncertainty & Vagueness 2014
    PDF

2010

  1. Realization of Prime Proof for the Three Prime Case by ATP
    Erman Acar
    2010