activity
20152023
most citedSemi-Supervised Learning using Differentiable Reasoning

19 citations · 30 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CY2023

AI4GCC - Team: Below Sea Level: Critiques and Improvements

Bram Renting, Phillip Wozny, Robert Loftin +2

We present a critical analysis of the simulation framework RICE-N, an integrated assessment model (IAM) for evaluating the impacts of climate change on the economy. We identify key…

cs.CY2023★ 1 cited

AI4GCC-Team -- Below Sea Level: Score and Real World Relevance

Phillip Wozny, Bram Renting, Robert Loftin +2

As our submission for track three of the AI for Global Climate Cooperation (AI4GCC) competition, we propose a negotiation protocol for use in the RICE-N climate-economic simulation…

cs.AI2023★ 2 cited

A Meta-Learning Algorithm for Interrogative Agendas

Erman Acar, Andrea De Domenico, Krishna Manoorkar +1

Explainability is a key challenge and a major research theme in AI research for developing intelligent systems that are capable of working with humans more effectively. An obvious…

cs.AI2020

Analyzing Differentiable Fuzzy Implications

Emile van Krieken, Erman Acar, Frank van Harmelen

Combining symbolic and neural approaches has gained considerable attention in the AI community, as it is often argued that the strengths and weaknesses of these approaches are comp…

cs.AI2019★ 19 cited

Semi-Supervised Learning using Differentiable Reasoning

Emile van Krieken, Erman Acar, Frank van Harmelen

We introduce Differentiable Reasoning (DR), a novel semi-supervised learning technique which uses relational background knowledge to benefit from unlabeled data. We apply it to the…

cs.LO2015★ 8 cited

RDF Validation Requirements - Evaluation and Logical Underpinning

Thomas Bosch, Andreas Nolle, Erman Acar +1

There are many case studies for which the formulation of RDF constraints and the validation of RDF data conforming to these constraint is very important. As a part of the collabora…