Towards a General Framework for Maximum Entropy Reasoning. - Nico Potyka (FLAIRS, 2012)

An Approach to Learning Relational Probabilistic FO-PCL Knowledge Bases. - Nico Potyka; Christoph Beierle (SUM, 2012)

Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data. - Julian Varghese; Christoph Beierle; Nico Potyka; Gabriele Kern-Isberner (CBMS, 2013)

A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery. - Christoph Beierle; Marc Finthammer; Nico Potyka; Julian Varghese; Gabriele Kern-Isberner (ECSQARU, 2013)

On the Problem of Reversing Relational Inductive Knowledge Representation. - Nico Potyka; Christoph Beierle; Gabriele Kern-Isberner (ECSQARU, 2013)

Some Notes on the Factorization of Probabilistic Logical Models under Maximum Entropy Semantics. - Nico Potyka (FLAIRS, 2013)

Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semantics. - Nico Potyka; Christoph Beierle; Gabriele Kern-Isberner (KI, 2013)

Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization. - Nico Potyka; Matthias Thimm (ECAI, 2014)

Linear Programs for Measuring Inconsistency in Probabilistic Logics. - Nico Potyka (KR, 2014)

Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases. - Christoph Beierle; Nico Potyka; Josef Baudisch; Marc Finthammer (ECSQARU, 2015)

Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures. - Nico Potyka; Matthias Thimm (IJCAI, 2015)

A Software System Using a SAT Solver for Reasoning Under Complete, Stable, Preferred, and Grounded Argumentation Semantics. - Christoph Beierle; Florian Brons; Nico Potyka (KI, 2015)

Reasoning over Linear Probabilistic Knowledge Bases with Priorities. - Nico Potyka (SUM, 2015)

A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics. - Nico Potyka; Christoph Beierle; Gabriele Kern-Isberner (J. Appl. Log., 2015)

Extending and Completing Probabilistic Knowledge and Beliefs Without Bias. - Christoph Beierle; Gabriele Kern-Isberner; Marc Finthammer; Nico Potyka (Künstliche Intell., 2015)

Towards a Computational Framework for Function-Driven Concept Invention. - Nico Potyka; Danny Gómez-Ramírez; Kai-Uwe Kühnberger (AGI, 2016)

Relationships Between Semantics for Relational Probabilistic Conditional Logics. - Nico Potyka (Computational Models of Rationality, 2016)

Group Decision Making via Probabilistic Belief Merging. - Nico Potyka; Erman Acar; Matthias Thimm; Heiner Stuckenschmidt (IJCAI, 2016)

Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy. - Rafael Peñaloza; Nico Potyka (SUM, 2016)

Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy (Full Version). - Rafael Peñaloza; Nico Potyka (CoRR, 2016)

An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version). - Nico Potyka; Engelbert Mittermeier; David Marenke (J. Appl. Log., 2016)

Solving Reasoning Problems for Probabilistic Conditional Logics with Consistent and Inconsistent Information. - Nico Potyka (2016)

Updating Probabilistic Epistemic States in Persuasion Dialogues. - Anthony Hunter; Nico Potyka (ECSQARU, 2017)

Towards Statistical Reasoning in Description Logics over Finite Domains. - Rafael Peñaloza; Nico Potyka (SUM, 2017)

Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version). - Rafael Peñaloza; Nico Potyka (CoRR, 2017)

A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic. - Christoph Beierle; Marc Finthammer; Nico Potyka; Julian Varghese; Gabriele Kern-Isberner (FLAP, 2017)

Inconsistency-tolerant reasoning over linear probabilistic knowledge bases. - Nico Potyka; Matthias Thimm (Int. J. Approx. Reason., 2017)

Updating Belief in Arguments in Epistemic Graphs. - Anthony Hunter; Sylwia Polberg; Nico Potyka (KR, 2018)

Continuous Dynamical Systems for Weighted Bipolar Argumentation. - Nico Potyka (KR, 2018)

Measuring Disagreement Among Knowledge Bases. - Nico Potyka (SUM, 2018)

Convergence and Open-Mindedness of Discrete and Continuous Semantics for Bipolar Weighted Argumentation (Technical Report). - Nico Potyka (CoRR, 2018)

A Polynomial-time Fragment of Epistemic Probabilistic Argumentation (Technical Report). - Nico Potyka (CoRR, 2018)

A Tutorial for Weighted Bipolar Argumentation with Continuous Dynamical Systems and the Java Library Attractor. - Nico Potyka (CoRR, 2018)

Extending Modular Semantics for Bipolar Weighted Argumentation. - Nico Potyka (AAMAS, 2019)

Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation. - Nico Potyka; Sylwia Polberg; Anthony Hunter (ECSQARU, 2019)

Extending Modular Semantics for Bipolar Weighted Argumentation (Extended Abstract). - Nico Potyka (KI, 2019)

Open-Mindedness of Gradual Argumentation Semantics. - Nico Potyka (SUM, 2019)

Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report). - Nico Potyka; Sylwia Polberg; Anthony Hunter (CoRR, 2019)

Delegated updates in epistemic graphs for opponent modelling. - Anthony Hunter; Sylwia Polberg; Nico Potyka (Int. J. Approx. Reason., 2019)

A polynomial-time fragment of epistemic probabilistic argumentation. - Nico Potyka (Int. J. Approx. Reason., 2019)

Abstract Argumentation with Markov Networks. - Nico Potyka (ECAI, 2020)

Foundations for Solving Classification Problems with Quantitative Abstract Argumentation. - Nico Potyka (XI-ML@KI, 2020)

Bipolar Abstract Argumentation with Dual Attacks and Supports. - Nico Potyka (KR, 2020)

Explainable Automated Reasoning in Law using Probabilistic Epistemic Argumentation. - Inga Ibs; Nico Potyka (CoRR, 2020)

Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix). - Nico Potyka (CoRR, 2020)

Interpreting Neural Networks as Quantitative Argumentation Frameworks. - Nico Potyka (AAAI, 2021)

Generalizing Complete Semantics to Bipolar Argumentation Frameworks. - Nico Potyka (ECSQARU, 2021)

From Probabilistic Programming to Probabilistic Argumentation. - Nico Potyka (ICLP Workshops, 2021)

Semi-Riemannian Graph Convolutional Networks. - Bo Xiong; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (CoRR, 2021)

Learning Gradual Argumentation Frameworks using Genetic Algorithms. - Jonathan Spieler; Nico Potyka; Steffen Staab (CoRR, 2021)

Attractor - A Java Library for Gradual Bipolar Argumentation. - Nico Potyka (COMMA, 2022)

Learning Gradual Argumentation Frameworks using Meta-heuristics. - Nico Potyka; Mohamad Bazo; Jonathan Spieler; Steffen Staab (ArgML@COMMA, 2022)

On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI. - Nico Potyka; Xiang Yin 007; Francesca Toni (ArgXAI@COMMA, 2022)

Interpretable Machine Learning with Gradual Argumentation Frameworks. - Jonathan Spieler; Nico Potyka; Steffen Staab (COMMA, 2022)

Pseudo-Riemannian Graph Convolutional Networks. - Bo Xiong; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (NeurIPS, 2022)

Faithful Embeddings for Eℒ++ Knowledge Bases. - Bo Xiong; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (ISWC, 2022)

Box Embeddings for the Description Logic EL++. - Bo Xiong; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (CoRR, 2022)

Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data. - Nico Potyka; Xiang Yin 007; Francesca Toni (CoRR, 2022)

Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report). - Nico Potyka; Xiang Yin 007; Francesca Toni (CoRR, 2022)

Explaining Random Forests Using Bipolar Argumentation and Markov Networks. - Nico Potyka; Xiang Yin 007; Francesca Toni (AAAI, 2023)

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks. - Xiang Yin 007; Nico Potyka; Francesca Toni (ECAI, 2023)

SpArX: Sparse Argumentative Explanations for Neural Networks. - Hamed Ayoobi; Nico Potyka; Francesca Toni (ECAI, 2023)

Towards Statistical Reasoning with Ontology Embeddings. - Yuqicheng Zhu; Nico Potyka; Bo Xiong; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2023)

Non-flat ABA is an Instance of Bipolar Argumentation. - Markus Ulbricht 001; Nico Potyka; Francesca Toni (CoRR, 2023)

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report). - Xiang Yin 007; Nico Potyka; Francesca Toni (CoRR, 2023)

Understanding ProbLog as Probabilistic Argumentation. - Francesca Toni; Nico Potyka; Markus Ulbricht 001; Pietro Totis (ICLP, 2023)

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]. - Hamed Ayoobi; Nico Potyka; Francesca Toni (CoRR, 2023)

Syntactic reasoning with conditional probabilities in deductive argumentation. - Anthony Hunter; Nico Potyka (Artif. Intell., 2023)

Non-flat ABA Is an Instance of Bipolar Argumentation. - Markus Ulbricht 001; Nico Potyka; Anna Rapberger; Francesca Toni (AAAI, 2024)

Promoting Counterfactual Robustness through Diversity. - Francesco Leofante; Nico Potyka (AAAI, 2024)

Robust Knowledge Extraction from Large Language Models using Social Choice Theory. - Nico Potyka; Yuqicheng Zhu; Yunjie He; Evgeny Kharlamov; Steffen Staab (AAMAS, 2024)

Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks. - Xiang Yin 007; Nico Potyka; Francesca Toni (ArgXAI@COMMA, 2024)

Argumentative Interpretable Image Classification. - Hamed Ayoobi; Nico Potyka; Francesca Toni (ArgXAI@COMMA, 2024)

An Empirical Study of Quantitative Bipolar Argumentation Frameworks for Truth Discovery. - Nico Potyka; Richard Booth 001 (COMMA, 2024)

Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. - Yuqicheng Zhu; Nico Potyka; Mojtaba Nayyeri; Bo Xiong; Yunjie He; Evgeny Kharlamov; Steffen Staab (EMNLP (Findings), 2024)

Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports. - Xiang Yin 007; Nico Potyka; Francesca Toni (IJCAI, 2024)

CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks. - Xiang Yin 007; Nico Potyka; Francesca Toni (KR, 2024)

Balancing Open-Mindedness and Conservativeness in Quantitative Bipolar Argumentation (and How to Prove Semantical from Functional Properties). - Nico Potyka; Richard Booth 001 (KR, 2024)

Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report). - Xiang Yin 007; Nico Potyka; Francesca Toni (CoRR, 2024)

CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report). - Xiang Yin 007; Nico Potyka; Francesca Toni (CoRR, 2024)

Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. - Yuqicheng Zhu; Nico Potyka; Bo Xiong; Trung-Kien Tran; Mojtaba Nayyeri; Evgeny Kharlamov; Steffen Staab (CoRR, 2024)

Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis. - Timotheus Kampik; Nico Potyka; Xiang Yin 007; Kristijonas Cyras; Francesca Toni (Int. J. Approx. Reason., 2024)

Code for Faithful Embeddings for EL++ Knowledge Bases. - Bo Xiong; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (DaRUS, 2024)

Code for Pseudo-Riemannian Graph Convolutional Networks. - Bo Xiong; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (DaRUS, 2024)

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation. - Hamed Ayoobi; Nico Potyka; Francesca Toni (AAAI, 2025)

Conformalized Answer Set Prediction for Knowledge Graph Embedding. - Yuqicheng Zhu; Nico Potyka; Jiarong Pan; Bo Xiong; Yunjie He; Evgeny Kharlamov; Steffen Staab (NAACL (Long Papers), 2025)

Privacy-Preserving Inconsistency Measurement. - Carl Corea; Timotheus Kampik; Nico Potyka (CoRR, 2025)

Contestability in Quantitative Argumentation. - Xiang Yin 007; Nico Potyka; Antonio Rago 001; Timotheus Kampik; Francesca Toni (CoRR, 2025)

Argumentative Debates for Transparent Bias Detection [Technical Report]. - Hamed Ayoobi; Nico Potyka; Anna Rapberger; Francesca Toni (CoRR, 2025)