Erman Acar

72 papers A* 9A 6B 3Misc 1Journal 39Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
ECSEL: Explainable Classification via Signomial Equation Learning.
CoRR
Adia C. Lumadjeng, S. Ilker Birbil, Erman Acar
2026 J jnl
Explaining the Explainer: Understanding the Inner Workings of Transformer-based Symbolic Regression Models.
CoRR
Arco van Breda, Erman Acar
2025 J jnl
ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder.
CoRR
Andreas Sauter, Saber Salehkaleybar, Aske Plaat, Erman Acar
2025 A* conf
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N.
ICML
Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse, Marco Jiralerspong, Soham R. Phade, Sunil Srinivasa, Lu Li, Yang Zhang, Prateek Gupta, Erman Acar, Irina Rish, Yoshua Bengio, Stephan Zheng
2025 A conf
Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning.
ECAI
Satchit Chatterji, Erman Acar
2025 J jnl
Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations.
CoRR
Linh Nguyen, Marcel Boersma, Erman Acar
2025 — conf
Detecting Fraud in Financial Networks: A Semi-supervised GNN Approach with Granger-Causal Explanations.
xAI (4)
Linh Nguyen, Marcel Boersma, Erman Acar
2025 J jnl
EMERGENT: Efficient and Manipulation-resistant Matching using GFlowNets.
CoRR
Mayesha Tasnim, Erman Acar, Sennay Ghebreab
2025 J jnl
Learning in public goods games: the effects of uncertainty and communication on cooperation.
Neural Comput. Appl.
Nicole Orzan, Erman Acar, Davide Grossi, Roxana Radulescu
2025 J jnl
Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs.
CoRR
Angela van Sprang, Laurens Samson, Ana Lucic, Erman Acar, Sennay Ghebreab, Yuki M. Asano
2025 J jnl
Successful Misunderstandings: Learning to Coordinate Without Being Understood.
CoRR
Nikolaos Kondylidis, Anil Yaman, Frank van Harmelen, Erman Acar, Annette ten Teije
2024 — conf
CAGE: Causality-Aware Shapley Value for Global Explanations.
xAI (3)
Nils Ole Breuer, Andreas Sauter, Majid Mohammadi, Erman Acar
2024 J jnl
CAGE: Causality-Aware Shapley Value for Global Explanations.
CoRR
Nils Ole Breuer, Andreas Sauter, Majid Mohammadi, Erman Acar
2024 A conf
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning.
AAMAS
Andreas Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat
2024 J jnl
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning.
CoRR
Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat
2024 J jnl
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research.
CoRR
Andreas W. M. Sauter, Erman Acar, Aske Plaat
2024 — conf
DAVIDE: Depth-Aware Video Deblurring.
ECCV Workshops (9)
German F. Torres, Jussi Kalliola, Soumya Tripathy, Erman Acar, Joni-Kristian Kämäräinen
2024 J jnl
DAVIDE: Depth-Aware Video Deblurring.
CoRR
German F. Torres, Jussi Kalliola, Soumya Tripathy, Erman Acar, Joni-Kristian Kämäräinen
2024 J jnl
Differentiable Inductive Logic Programming for Fraud Detection.
CoRR
Boris Wolfson, Erman Acar
2024 A conf
Emergent Cooperation under Uncertain Incentive Alignment.
AAMAS
Nicole Orzan, Erman Acar, Davide Grossi, Roxana Radulescu
2024 J jnl
Emergent Cooperation under Uncertain Incentive Alignment.
CoRR
Nicole Orzan, Erman Acar, Davide Grossi, Roxana Radulescu
2024 J jnl
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework.
CoRR
Angela van Sprang, Erman Acar, Willem H. Zuidema
2024 — conf
Explainable Fraud Detection with Deep Symbolic Classification.
xAI (3)
Samantha Visbeek, Erman Acar, Floris den Hengst
2024 J jnl
Integrating Fuzzy Logic into Deep Symbolic Regression.
CoRR
Wout Gerdes, Erman Acar
2024 A conf
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities.
ECAI
Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion, Roxana Radulescu
2024 J jnl
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities.
CoRR
Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion, Roxana Radulescu
2024 J jnl
On the Potential of Network-Based Features for Fraud Detection.
CoRR
Catayoun Azarm, Erman Acar, Mickey van Zeelt
2024 A* conf
PFStorer: Personalized Face Restoration and Super-Resolution.
CVPR
Tuomas Varanka, Tapani Toivonen, Soumya Tripathy, Guoying Zhao, Erman Acar
2024 J jnl
PFStorer: Personalized Face Restoration and Super-Resolution.
CoRR
Tuomas Varanka, Tapani Toivonen, Soumya Tripathy, Guoying Zhao, Erman Acar
2024 J jnl
Single Pixel Spectral Color Constancy.
Int. J. Comput. Vis.
Samu Koskinen, Erman Acar, Joni-Kristian Kämäräinen
2024 J jnl
Think Smart, Act SMARL! Analyzing Probabilistic Logic Driven Safety in Multi-Agent Reinforcement Learning.
CoRR
Satchit Chatterji, Erman Acar
2023 J jnl
A Meta-Learning Algorithm for Interrogative Agendas.
CoRR
Erman Acar, Andrea De Domenico, Krishna Manoorkar, Mattia Panettiere
2023 — conf
A Meta-Reinforcement Learning Algorithm for Causal Discovery.
CLeaR
Andreas W. M. Sauter, Erman Acar, Vincent François-Lavet
2023 J jnl
AI4GCC - Team: Below Sea Level: Critiques and Improvements.
CoRR
Bram M. Renting, Phillip Wozny, Robert Loftin, Claudia Wieners, Erman Acar
2023 J jnl
AI4GCC - Team: Below Sea Level: Score and Real World Relevance.
CoRR
Phillip Wozny, Bram M. Renting, Robert Loftin, Claudia Wieners, Erman Acar
2023 J jnl
Explainable Fraud Detection with Deep Symbolic Classification.
CoRR
Samantha Visbeek, Erman Acar, Floris den Hengst
2022 J jnl
A Meta-Reinforcement Learning Algorithm for Causal Discovery.
CoRR
Andreas Sauter, Erman Acar, Vincent François-Lavet
2022 J jnl
An argumentative approach for handling inconsistency in prioritized Datalog± ontologies.
AI Commun.
Loan Ho, Somjit Arch-int, Erman Acar, Stefan Schlobach, Ngamnij Arch-int
2022 J jnl
Analyzing Differentiable Fuzzy Logic Operators.
Artif. Intell.
Emile van Krieken, Erman Acar, Frank van Harmelen
2022 J jnl
Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach.
Inf. Sci.
Renyan Feng, Erman Acar, Yisong Wang, Wanwei Liu, Stefan Schlobach, Weiping Ding
2022 A* conf
Hyperbolic Image Segmentation.
CVPR
Mina Ghadimi Atigh, Julian Schoep, Erman Acar, Nanne van Noord, Pascal Mettes
2022 J jnl
Hyperbolic Image Segmentation.
CoRR
Mina Ghadimi Atigh, Julian Schoep, Erman Acar, Nanne van Noord, Pascal Mettes
2022 — conf
Learning to Cooperate with Human Evaluative Feedback and Demonstrations.
HHAI
Mehul Verma, Erman Acar
2021 A conf
Single Pixel Spectral Color Constancy.
BMVC
Samu Koskinen, Erman Acar, Joni-Kristian Kamarainen
2020 A* conf
Analyzing Differentiable Fuzzy Implications.
KR
Emile van Krieken, Erman Acar, Frank van Harmelen
2020 J jnl
Analyzing Differentiable Fuzzy Implications.
CoRR
Emile van Krieken, Erman Acar, Frank van Harmelen
2020 J jnl
Analyzing Differentiable Fuzzy Logic Operators.
CoRR
Emile van Krieken, Erman Acar, Frank van Harmelen
2020 A* conf
Distance-Based Equilibria in Normal-Form Games.
AAAI
Erman Acar, Reshef Meir
2020 J jnl
Distance-based Equilibria in Normal-Form Games.
CoRR
Erman Acar, Reshef Meir
2020 B conf
MetaLink: A Travel Guide to the LOD Cloud.
ESWC
Wouter Beek, Joe Raad, Erman Acar, Frank van Harmelen
2020 J jnl
On Sufficient and Necessary Conditions in Bounded CTL.
CoRR
Renyan Feng, Erman Acar, Stefan Schlobach, Yisong Wang, Wanwei Liu
2020 A* conf
On Sufficient and Necessary Conditions in Bounded CTL: A Forgetting Approach.
KR
Renyan Feng, Erman Acar, Stefan Schlobach, Yisong Wang, Wanwei Liu
2020 A* conf
Reasoning with Contextual Knowledge and Influence Diagrams.
KR
Erman Acar, Rafael Peñaloza
2020 J jnl
Reasoning with Contextual Knowledge and Influence Diagrams.
CoRR
Erman Acar, Rafael Peñaloza
2019 — conf
Making Decisions over Contextual Ontologies.
Description Logics
Erman Acar, Rafael Peñaloza, Livia Predoiu
2019 B conf
On the Impact of sameAs on Schema Matching.
K-CAP
Joe Raad, Erman Acar, Stefan Schlobach
2019 A* conf
Satisfiability in Strategy Logic Can Be Easier than Model Checking.
AAAI
Erman Acar, Massimo Benerecetti, Fabio Mogavero
2019 J jnl
Semi-Supervised Learning using Differentiable Reasoning.
CoRR
Emile van Krieken, Erman Acar, Frank van Harmelen
2019 J jnl
Semi-supervised Learning using Differentiable Reasoning.
FLAP
Emile van Krieken, Erman Acar, Frank van Harmelen
2018 — conf
Preferential Default Reasoning on the Semantic Web.
Description Logics
Rafael Kiesel, Erman Acar, Stefan Schlobach
2018 — —
Statistical Reconstruction Methods for 3D Imaging of Biological Samples with Electron Microscopy.
Erman Acar
2017 A conf
Group Reasoning in Social Environments.
AAMAS
Erman Acar, Gianluigi Greco, Marco Manna
2017 — conf
Local Adaptive Wiener Filtering for Class Averaging in Single Particle Reconstruction.
SCIA (2)
Ali Abdollahzadeh, Erman Acar, Sari Peltonen, Ulla Ruotsalainen
2017 J jnl
Multi-Attribute Decision Making with Weighted Description Logics.
FLAP
Erman Acar, Manuel Fink, Christian Meilicke, Camilo Thorne, Heiner Stuckenschmidt
2016 A* conf
Group Decision Making via Probabilistic Belief Merging.
IJCAI
Nico Potyka, Erman Acar, Matthias Thimm, Heiner Stuckenschmidt
2015 J jnl
RDF Validation Requirements - Evaluation and Logical Underpinning.
CoRR
Thomas Bosch, Andreas Nolle, Erman Acar, Kai Eckert
2015 Misc conf
The role of reasoning for RDF validation.
SEMANTiCS
Thomas Bosch, Erman Acar, Andreas Nolle, Kai Eckert
2015 — conf
Towards Decision Making via Expressive Probabilistic Ontologies.
ADT
Erman Acar, Camilo Thorne, Heiner Stuckenschmidt
2015 B conf
uDecide: A Protégé Plugin for Multiattribute Decision Making.
K-CAP
Erman Acar, Manuel Fink, Christian Meilicke, Heiner Stuckenschmidt
2014 — conf
Computing Subjective Expected Utility using Probabilistic Description Logics.
STAIRS
Erman Acar
2014 — conf
Multi-Attribute Decision Making using Weighted Description Logics.
PRUV
Erman Acar, Christian Meilicke
2012 — conf
Classification of senrorimotor activity in EEG signal.
SIU
Erman Acar, Nevzat Güneri Gençer