Nico Potyka

103 papers A* 16A 7B 2C 11Misc 6Journal 40Unranked 19
YearRankTypeTitle / Venue / Authors
2026 A* conf
Argumentative Debates for Transparent Bias Detection.
AAAI
Hamed Ayoobi, Nico Potyka, Anna Rapberger, Francesca Toni
2026 J jnl
Strength Change Explanations in Quantitative Argumentation.
CoRR
Timotheus Kampik, Xiang Yin, Nico Potyka, Francesca Toni
2025 C conf
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation.
NeSy
Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab
2025 J jnl
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation.
CoRR
Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab
2025 J jnl
Argumentative Debates for Transparent Bias Detection [Technical Report].
CoRR
Hamed Ayoobi, Nico Potyka, Anna Rapberger, Francesca Toni
2025 — conf
Conformalized Answer Set Prediction for Knowledge Graph Embedding.
NAACL (Long Papers)
Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab
2025 J jnl
Contestability in Quantitative Argumentation.
CoRR
Xiang Yin, Nico Potyka, Antonio Rago, Timotheus Kampik, Francesca Toni
2025 — conf
On the Impact of Sparsification on Quantitative Argumentative Explanations in Neural Networks.
ArgXAI@ECAI
Daniel Peacock, Mansi, Nico Potyka, Francesca Toni, Xiang Yin
2025 C conf
Privacy-Preserving Inconsistency Measurement.
ECSQARU
Carl Corea, Timotheus Kampik, Nico Potyka
2025 J jnl
Privacy-Preserving Inconsistency Measurement.
CoRR
Carl Corea, Timotheus Kampik, Nico Potyka
2025 A* conf
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation.
AAAI
Hamed Ayoobi, Nico Potyka, Francesca Toni
2024 C conf
An Empirical Study of Quantitative Bipolar Argumentation Frameworks for Truth Discovery.
COMMA
Nico Potyka, Richard Booth
2024 — conf
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks.
ArgXAI
Xiang Yin, Nico Potyka, Francesca Toni
2024 J jnl
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks.
CoRR
Xiang Yin, Nico Potyka, Francesca Toni
2024 J jnl
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings.
CoRR
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab
2024 — conf
Argumentative Interpretable Image Classification.
ArgXAI
Hamed Ayoobi, Nico Potyka, Francesca Toni
2024 A* conf
Balancing Open-Mindedness and Conservativeness in Quantitative Bipolar Argumentation (and How to Prove Semantical from Functional Properties).
KR
Nico Potyka, Richard Booth
2024 J jnl
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report).
CoRR
Xiang Yin, Nico Potyka, Francesca Toni
2024 A* conf
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks.
KR
Xiang Yin, Nico Potyka, Francesca Toni
2024 J jnl
Conformalized Answer Set Prediction for Knowledge Graph Embedding.
CoRR
Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab
2024 J jnl
Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis.
CoRR
Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni
2024 J jnl
Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis.
Int. J. Approx. Reason.
Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni
2024 J jnl
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report).
CoRR
Xiang Yin, Nico Potyka, Francesca Toni
2024 A* conf
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports.
IJCAI
Xiang Yin, Nico Potyka, Francesca Toni
2024 A* conf
Non-flat ABA Is an Instance of Bipolar Argumentation.
AAAI
Markus Ulbricht, Nico Potyka, Anna Rapberger, Francesca Toni
2024 — conf
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction.
EMNLP (Findings)
Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab
2024 J jnl
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction.
CoRR
Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab
2024 A* conf
Promoting Counterfactual Robustness through Diversity.
AAAI
Francesco Leofante, Nico Potyka
2024 A conf
Robust Knowledge Extraction from Large Language Models using Social Choice Theory.
AAMAS
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
2023 J jnl
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report).
CoRR
Xiang Yin, Nico Potyka, Francesca Toni
2023 A conf
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks.
ECAI
Xiang Yin, Nico Potyka, Francesca Toni
2023 A* conf
Explaining Random Forests Using Bipolar Argumentation and Markov Networks.
AAAI
Nico Potyka, Xiang Yin, Francesca Toni
2023 J jnl
Non-flat ABA is an Instance of Bipolar Argumentation.
CoRR
Markus Ulbricht, Nico Potyka, Francesca Toni
2023 J jnl
Promoting Counterfactual Robustness through Diversity.
CoRR
Francesco Leofante, Nico Potyka
2023 J jnl
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report].
CoRR
Hamed Ayoobi, Nico Potyka, Francesca Toni
2023 J jnl
Robust Knowledge Extraction from Large Language Models using Social Choice Theory.
CoRR
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
2023 A conf
SpArX: Sparse Argumentative Explanations for Neural Networks.
ECAI
Hamed Ayoobi, Nico Potyka, Francesca Toni
2023 J jnl
SpArX: Sparse Argumentative Explanations for Neural Networks.
CoRR
Hamed Ayoobi, Nico Potyka, Francesca Toni
2023 J jnl
Syntactic reasoning with conditional probabilities in deductive argumentation.
Artif. Intell.
Anthony Hunter, Nico Potyka
2023 — conf
Towards Statistical Reasoning with Ontology Embeddings.
ISWC (Posters/Demos/Industry)
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov
2023 B conf
Understanding ProbLog as Probabilistic Argumentation.
ICLP
Francesca Toni, Nico Potyka, Markus Ulbricht, Pietro Totis
2022 C conf
Attractor - A Java Library for Gradual Bipolar Argumentation.
COMMA
Nico Potyka
2022 J jnl
Box Embeddings for the Description Logic EL++.
CoRR
Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab
2022 J jnl
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report).
CoRR
Nico Potyka, Xiang Yin, Francesca Toni
2022 Misc conf
Faithful Embeddings for
ISWC
Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab
2022 C conf
Interpretable Machine Learning with Gradual Argumentation Frameworks.
COMMA
Jonathan Spieler, Nico Potyka, Steffen Staab
2022 — conf
Learning Gradual Argumentation Frameworks using Meta-heuristics.
ArgML@COMMA
Nico Potyka, Mohamad Bazo, Jonathan Spieler, Steffen Staab
2022 — conf
On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI.
ArgXAI
Nico Potyka, Xiang Yin, Francesca Toni
2022 A* conf
Pseudo-Riemannian Graph Convolutional Networks.
NeurIPS
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
2022 — ed.
Scalable Uncertainty Management - 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings
SUM
Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, Nico Potyka
2022 J jnl
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data.
CoRR
Nico Potyka, Xiang Yin, Francesca Toni
2021 — conf
From Probabilistic Programming to Probabilistic Argumentation.
ICLP Workshops
Nico Potyka
2021 C conf
Generalizing Complete Semantics to Bipolar Argumentation Frameworks.
ECSQARU
Nico Potyka
2021 A* conf
Interpreting Neural Networks as Quantitative Argumentation Frameworks.
AAAI
Nico Potyka
2021 J jnl
Learning Gradual Argumentation Frameworks using Genetic Algorithms.
CoRR
Jonathan Spieler, Nico Potyka, Steffen Staab
2021 J jnl
Semi-Riemannian Graph Convolutional Networks.
CoRR
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
2020 A conf
Abstract Argumentation with Markov Networks.
ECAI
Nico Potyka
2020 A* conf
Bipolar Abstract Argumentation with Dual Attacks and Supports.
KR
Nico Potyka
2020 J jnl
Explainable Automated Reasoning in Law using Probabilistic Epistemic Argumentation.
CoRR
Inga Ibs, Nico Potyka
2020 — conf
Foundations for Solving Classification Problems with Quantitative Abstract Argumentation.
XI-ML@KI
Nico Potyka
2020 J jnl
Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix).
CoRR
Nico Potyka
2019 A conf
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation.
AAMAS
Nico Potyka
2019 J jnl
A polynomial-time fragment of epistemic probabilistic argumentation.
Int. J. Approx. Reason.
Nico Potyka
2019 J jnl
Delegated updates in epistemic graphs for opponent modelling.
Int. J. Approx. Reason.
Anthony Hunter, Sylwia Polberg, Nico Potyka
2019 Misc conf
Extending Modular Semantics for Bipolar Weighted Argumentation (Extended Abstract).
KI
Nico Potyka
2019 A conf
Extending Modular Semantics for Bipolar Weighted Argumentation.
AAMAS
Nico Potyka
2019 — conf
Open-Mindedness of Gradual Argumentation Semantics.
SUM
Nico Potyka
2019 C conf
Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation.
ECSQARU
Nico Potyka, Sylwia Polberg, Anthony Hunter
2019 J jnl
Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report).
CoRR
Nico Potyka, Sylwia Polberg, Anthony Hunter
2018 J jnl
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation (Technical Report).
CoRR
Nico Potyka
2018 J jnl
A Tutorial for Weighted Bipolar Argumentation with Continuous Dynamical Systems and the Java Library Attractor.
CoRR
Nico Potyka
2018 A* conf
Continuous Dynamical Systems for Weighted Bipolar Argumentation.
KR
Nico Potyka
2018 J jnl
Convergence and Open-Mindedness of Discrete and Continuous Semantics for Bipolar Weighted Argumentation (Technical Report).
CoRR
Nico Potyka
2018 — conf
Measuring Disagreement Among Knowledge Bases.
SUM
Nico Potyka
2018 — conf
Measuring Disagreement among Knowledge Bases.
PRUV@IJCAR
Nico Potyka
2018 A* conf
Updating Belief in Arguments in Epistemic Graphs.
KR
Anthony Hunter, Sylwia Polberg, Nico Potyka
2017 J jnl
A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic.
FLAP
Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, Gabriele Kern-Isberner
2017 J jnl
Inconsistency-tolerant reasoning over linear probabilistic knowledge bases.
Int. J. Approx. Reason.
Nico Potyka, Matthias Thimm
2017 J jnl
Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version).
CoRR
Rafael Peñaloza, Nico Potyka
2017 — conf
Towards Statistical Reasoning in Description Logics over Finite Domains.
SUM
Rafael Peñaloza, Nico Potyka
2017 C conf
Updating Probabilistic Epistemic States in Persuasion Dialogues.
ECSQARU
Anthony Hunter, Nico Potyka
2016 J jnl
An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version).
J. Appl. Log.
Nico Potyka, Engelbert Mittermeier, David Marenke
2016 A* conf
Group Decision Making via Probabilistic Belief Merging.
IJCAI
Nico Potyka, Erman Acar, Matthias Thimm, Heiner Stuckenschmidt
2016 — conf
Probabilistic Reasoning in the Description Logic
SUM
Rafael Peñaloza, Nico Potyka
2016 J jnl
Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy (Full Version).
CoRR
Rafael Peñaloza, Nico Potyka
2016 — conf
Relationships Between Semantics for Relational Probabilistic Conditional Logics.
Computational Models of Rationality
Nico Potyka
2016 — —
Solving Reasoning Problems for Probabilistic Conditional Logics with Consistent and Inconsistent Information.
Nico Potyka
2016 — conf
Towards a Computational Framework for Function-Driven Concept Invention.
AGI
Nico Potyka, Danny Gómez-Ramírez, Kai-Uwe Kühnberger
2015 Misc conf
A Software System Using a SAT Solver for Reasoning Under Complete, Stable, Preferred, and Grounded Argumentation Semantics.
KI
Christoph Beierle, Florian Brons, Nico Potyka
2015 J jnl
A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics.
J. Appl. Log.
Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner
2015 J jnl
Extending and Completing Probabilistic Knowledge and Beliefs Without Bias.
Künstliche Intell.
Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, Nico Potyka
2015 A* conf
Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures.
IJCAI
Nico Potyka, Matthias Thimm
2015 — conf
Reasoning over Linear Probabilistic Knowledge Bases with Priorities.
SUM
Nico Potyka
2015 C conf
Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases.
ECSQARU
Christoph Beierle, Nico Potyka, Josef Baudisch, Marc Finthammer
2014 A conf
Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization.
ECAI
Nico Potyka, Matthias Thimm
2014 A* conf
Linear Programs for Measuring Inconsistency in Probabilistic Logics.
KR
Nico Potyka
2013 C conf
A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery.
ECSQARU
Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, Gabriele Kern-Isberner
2013 Misc conf
Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semantics.
KI
Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner
2013 C conf
On the Problem of Reversing Relational Inductive Knowledge Representation.
ECSQARU
Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner
2013 Misc conf
Some Notes on the Factorization of Probabilistic Logical Models under Maximum Entropy Semantics.
FLAIRS
Nico Potyka
2013 B conf
Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data.
CBMS
Julian Varghese, Christoph Beierle, Nico Potyka, Gabriele Kern-Isberner
2012 — conf
An Approach to Learning Relational Probabilistic FO-PCL Knowledge Bases.
SUM
Nico Potyka, Christoph Beierle
2012 Misc conf
Towards a General Framework for Maximum Entropy Reasoning.
FLAIRS
Nico Potyka