12 citations · 15 across the 5 of their papers we have counts for
6 papers
A Meta-Reinforcement Learning Algorithm for Causal Discovery
Andreas Sauter, Erman Acar, Vincent François-Lavet
Causal discovery is a major task with the utmost importance for machine learning since causal structures can enable models to go beyond pure correlation-based inference and signifi…
Hyperbolic Image Segmentation
Mina GhadimiAtigh, Julian Schoep, Erman Acar +2
For image segmentation, the current standard is to perform pixel-level optimization and inference in Euclidean output embedding spaces through linear hyperplanes. In this work, we…
Reasoning with Contextual Knowledge and Influence Diagrams
Erman Acar, Rafael Peñaloza
Influence diagrams (IDs) are well-known formalisms extending Bayesian networks to model decision situations under uncertainty. Although they are convenient as a decision theoretic…
On Sufficient and Necessary Conditions in Bounded CTL: A Forgetting Approach
Renyan Feng, Erman Acar, Stefan Schlobach +2
Computation Tree Logic (CTL) is one of the central formalisms in formal verification. As a specification language, it is used to express a property that the system at hand is expec…
Distance-based Equilibria in Normal-Form Games
Erman Acar, Reshef Meir
We propose a simple uncertainty modification for the agent model in normal-form games; at any given strategy profile, the agent can access only a set of "possible profiles" that ar…
Analyzing Differentiable Fuzzy Logic Operators
Emile van Krieken, Erman Acar, Frank van Harmelen
The AI community is increasingly putting its attention towards combining symbolic and neural approaches, as it is often argued that the strengths and weaknesses of these approaches…