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Csaba Domokos

3 accepted papers

2020

Differentiable learning of numerical rules in knowledge graphs

ICLR 2020poster

Rules over a knowledge graph (KG) capture interpretable patterns in data and can be used for KG cleaning and completion. Inspired by the TensorLog differentiable logic framework, which compiles rule inference into a sequence of differentiable operations, recently a method called Neural LP has been p…

Cited by 51SourceScholar
2018

Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs

CVPR 2018poster

This paper introduces a novel algorithm for transductive inference in higher-order MRFs, where the unary energies are parameterized by a variable classifier. The considered task is posed as a joint optimization problem in the continuous classifier parameters and the discrete label variables. In cont…

Cited by 10SourcePDFScholar
2018

MRF Optimization with Separable Convex Prior on Partially Ordered Labels

ECCV 2018poster

Solving a multi-labeling problem with a convex penalty can be achieved in polynomial time if the label set is totally ordered. In this paper we propose a generalization to partially ordered sets. To this end, we assume that the label set is the Cartesian product of totally ordered sets and the conve…

Cited by 3SourcePDFScholar