Nico Potyka
13 papers · 2015–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22)
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Topic Evolution
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Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
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Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI · Artificial Intelligence
(6)
Core Methods
(6)
Knowledge & Reasoning
(5)
Representation
(4)
Deep Learning
(3)
Architectures
(3)
Computer Vision
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core AI · Computer Vision
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory
(1)
Keywords
link prediction
(3)
knowledge graph embedding
(3)
bipolar argumentation
(2)
knowledge representation
(2)
approximate inference
(1)
probabilistic inference
(1)
adversarial robustness
(1)
approximation algorithm
(1)
conformal prediction
(1)
semantic analysis
(1)
bias detection
(1)
explanation generation
(1)
explainable ai
(1)
geometric deep learning
(1)
parameter learning
(1)
prototype learning
(1)
graph embedding
(1)
fraud detection
(1)
model interpretability
(1)
uncertainty quantification
(1)
Papers
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings
UAI 2026
Argumentative Debates for Transparent Bias Detection
AAAI 2026
Conformalized Answer Set Prediction for Knowledge Graph Embedding
NAACL 2025
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation
AAAI 2025
Explaining Arguments’ Strength: Unveiling the Role of Attacks and Supports
IJCAI 2024
Non-flat ABA Is an Instance of Bipolar Argumentation
AAAI 2024
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
EMNLP 2024
Promoting Counterfactual Robustness through Diversity
AAAI 2024
Explaining Random Forests Using Bipolar Argumentation and Markov Networks
AAAI 2023
Pseudo-Riemannian Graph Convolutional Networks
NeurIPS 2022
Interpreting Neural Networks as Quantitative Argumentation Frameworks
AAAI 2021
Group Decision Making via Probabilistic Belief Merging
IJCAI 2016
Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures
IJCAI 2015