Nico Potyka

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 65

Top Venues

CoRR

SUM

Int. J. Approx. Reason.

AAAI

FernUniversität in Hagen (PHD)

Education History

FernUniversität in Hagen

PHD

Publications

Markus Ulbricht, Nico Potyka, Anna Rapberger, Francesca Toni
Non-flat ABA Is an Instance of Bipolar Argumentation. AAAI (2024)
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. CoRR (2024)
Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni
Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis. CoRR (2024)
Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni
Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis. Int. J. Approx. Reason. 173 (2024)
Xiang Yin, Nico Potyka, Francesca Toni
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report). CoRR (2024)
Xiang Yin, Nico Potyka, Francesca Toni
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report). CoRR (2024)
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
Robust Knowledge Extraction from Large Language Models using Social Choice Theory. AAMAS (2024)
Francesco Leofante, Nico Potyka
Promoting Counterfactual Robustness through Diversity. AAAI (2024)
Xiang Yin, Nico Potyka, Francesca Toni
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report). CoRR (2023)
Francesco Leofante, Nico Potyka
Promoting Counterfactual Robustness through Diversity. CoRR (2023)
Anthony Hunter, Nico Potyka
Syntactic reasoning with conditional probabilities in deductive argumentation. Artif. Intell. 321 (2023)
Nico Potyka, Xiang Yin, Francesca Toni
Explaining Random Forests Using Bipolar Argumentation and Markov Networks. AAAI (2023)
Markus Ulbricht, Nico Potyka, Francesca Toni
Non-flat ABA is an Instance of Bipolar Argumentation. CoRR (2023)
Hamed Ayoobi, Nico Potyka, Francesca Toni
SpArX: Sparse Argumentative Explanations for Neural Networks. CoRR (2023)
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
Robust Knowledge Extraction from Large Language Models using Social Choice Theory. CoRR (2023)
Hamed Ayoobi, Nico Potyka, Francesca Toni
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]. CoRR (2023)
Hamed Ayoobi, Nico Potyka, Francesca Toni
SpArX: Sparse Argumentative Explanations for Neural Networks. ECAI (2023)
Francesca Toni, Nico Potyka, Markus Ulbricht, Pietro Totis
Understanding ProbLog as Probabilistic Argumentation. CoRR (2023)
Xiang Yin, Nico Potyka, Francesca Toni
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks. ECAI (2023)
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov
Towards Statistical Reasoning with Ontology Embeddings. ISWC (Posters/Demos/Industry) (2023)
Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab
Knowledge Bases. ISWC (2022)
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
Pseudo-Riemannian Graph Convolutional Networks. NeurIPS (2022)
Nico Potyka, Mohamad Bazo, Jonathan Spieler, Steffen Staab
Learning Gradual Argumentation Frameworks using Meta-heuristics. ArgML@COMMA (2022)
Jonathan Spieler, Nico Potyka, Steffen Staab
Interpretable Machine Learning with Gradual Argumentation Frameworks. COMMA (2022)
Nico Potyka, Xiang Yin, Francesca Toni
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report). CoRR (2022)
Nico Potyka, Xiang Yin, Francesca Toni
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data. CoRR (2022)
Nico Potyka, Xiang Yin, Francesca Toni
On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI. ArgXAI@COMMA (2022)
Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab
Box Embeddings for the Description Logic EL++. CoRR (2022)
Nico Potyka
Attractor - A Java Library for Gradual Bipolar Argumentation. COMMA (2022)
Nico Potyka
From Probabilistic Programming to Probabilistic Argumentation. ICLP Workshops (2021)
Nico Potyka
Generalizing Complete Semantics to Bipolar Argumentation Frameworks. ECSQARU (2021)
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
Semi-Riemannian Graph Convolutional Networks. CoRR (2021)
Jonathan Spieler, Nico Potyka, Steffen Staab
Learning Gradual Argumentation Frameworks using Genetic Algorithms. CoRR (2021)
Nico Potyka
Interpreting Neural Networks as Quantitative Argumentation Frameworks. AAAI (2021)
Nico Potyka
Bipolar Abstract Argumentation with Dual Attacks and Supports. KR (2020)
Nico Potyka
Abstract Argumentation with Markov Networks. ECAI (2020)
Nico Potyka
Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix). CoRR (2020)
Nico Potyka
Foundations for Solving Classification Problems with Quantitative Abstract Argumentation. XI-ML@KI (2020)
Inga Ibs, Nico Potyka
Explainable Automated Reasoning in Law using Probabilistic Epistemic Argumentation. CoRR (2020)
Nico Potyka
A polynomial-time fragment of epistemic probabilistic argumentation. Int. J. Approx. Reason. 115 (2019)
Nico Potyka
Open-Mindedness of Gradual Argumentation Semantics. SUM (2019)
Nico Potyka, Sylwia Polberg, Anthony Hunter
Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation. ECSQARU (2019)
Nico Potyka
Extending Modular Semantics for Bipolar Weighted Argumentation. AAMAS (2019)
Anthony Hunter, Sylwia Polberg, Nico Potyka
Delegated updates in epistemic graphs for opponent modelling. Int. J. Approx. Reason. 113 (2019)
Nico Potyka
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation. AAMAS (2019)
Nico Potyka
Extending Modular Semantics for Bipolar Weighted Argumentation (Extended Abstract). KI (2019)
Nico Potyka, Sylwia Polberg, Anthony Hunter
Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report). CoRR (2019)
Nico Potyka
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation (Technical Report). CoRR (2018)
Nico Potyka
Convergence and Open-Mindedness of Discrete and Continuous Semantics for Bipolar Weighted Argumentation (Technical Report). CoRR (2018)
Anthony Hunter, Sylwia Polberg, Nico Potyka
Updating Belief in Arguments in Epistemic Graphs. KR (2018)
Nico Potyka
Continuous Dynamical Systems for Weighted Bipolar Argumentation. KR (2018)
Nico Potyka
Measuring Disagreement among Knowledge Bases. PRUV@IJCAR (2018)
Nico Potyka
Measuring Disagreement Among Knowledge Bases. SUM (2018)
Nico Potyka
A Tutorial for Weighted Bipolar Argumentation with Continuous Dynamical Systems and the Java Library Attractor. CoRR (2018)
Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, Gabriele Kern-Isberner
A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic. FLAP 4 (7) (2017)
Rafael Peñaloza, Nico Potyka
Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version). CoRR (2017)
Nico Potyka, Matthias Thimm
Inconsistency-tolerant reasoning over linear probabilistic knowledge bases. Int. J. Approx. Reason. 88 (2017)
Anthony Hunter, Nico Potyka
Updating Probabilistic Epistemic States in Persuasion Dialogues. ECSQARU (2017)
Rafael Peñaloza, Nico Potyka
Towards Statistical Reasoning in Description Logics over Finite Domains. SUM (2017)
Nico Potyka, Engelbert Mittermeier, David Marenke
An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version). J. Appl. Log. 19 (2016)
Nico Potyka, Danny Gómez-Ramírez, Kai-Uwe Kühnberger
Towards a Computational Framework for Function-Driven Concept Invention. AGI (2016)
Rafael Peñaloza, Nico Potyka
Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy (Full Version). CoRR (2016)
Nico Potyka, Erman Acar, Matthias Thimm, Heiner Stuckenschmidt
Group Decision Making via Probabilistic Belief Merging. IJCAI (2016)
Rafael Peñaloza, Nico Potyka
with the Principle of Maximum Entropy. SUM (2016)
Nico Potyka
Relationships Between Semantics for Relational Probabilistic Conditional Logics. Computational Models of Rationality (2016)
Nico Potyka, Matthias Thimm
Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures. IJCAI (2015)
Nico Potyka
Reasoning over Linear Probabilistic Knowledge Bases with Priorities. SUM (2015)
Christoph Beierle, Nico Potyka, Josef Baudisch, Marc Finthammer
Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases. ECSQARU (2015)
Christoph Beierle, Florian Brons, Nico Potyka
A Software System Using a SAT Solver for Reasoning Under Complete, Stable, Preferred, and Grounded Argumentation Semantics. KI (2015)
Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner
A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics. J. Appl. Log. 13 (4) (2015)
Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, Nico Potyka
Extending and Completing Probabilistic Knowledge and Beliefs Without Bias. Künstliche Intell. 29 (3) (2015)
Nico Potyka, Matthias Thimm
Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization. ECAI (2014)
Nico Potyka
Linear Programs for Measuring Inconsistency in Probabilistic Logics. KR (2014)
Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner
Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semantics. KI (2013)
Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner
On the Problem of Reversing Relational Inductive Knowledge Representation. ECSQARU (2013)
Nico Potyka
Some Notes on the Factorization of Probabilistic Logical Models under Maximum Entropy Semantics. FLAIRS Conference (2013)
Julian Varghese, Christoph Beierle, Nico Potyka, Gabriele Kern-Isberner
Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data. CBMS (2013)
Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, Gabriele Kern-Isberner
A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery. ECSQARU (2013)
Nico Potyka, Christoph Beierle
An Approach to Learning Relational Probabilistic FO-PCL Knowledge Bases. SUM (2012)
Nico Potyka
Towards a General Framework for Maximum Entropy Reasoning. FLAIRS Conference (2012)

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Publication Activity (10 Years)

Top Topics

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Nico Potyka