250 citations · 277 across the 10 of their papers we have counts for
10 papers
Hakken: Predicting future discoveries to fill the gaps in today's knowledge
Tarek R. Besold, Uchenna Akujuobi, Pablo Sanchez +21
We present Hakken, a domain-agnostic prediction and explanation system performing knowledge prediction, i.e., growing scientific knowledge by establishing novel relationships, ones…
Rewarding Explainability in Drug Repurposing with Knowledge Graphs
Susana Nunes, Samy Badreddine, Catia Pesquita
Knowledge graphs (KGs) are powerful tools for modelling complex, multi-relational data and supporting hypothesis generation, particularly in applications like drug repurposing. How…
Unifying Post-hoc Explanations of Knowledge Graph Completions
Alessandro Lonardi, Samy Badreddine, Tarek R. Besold +1
Knowledge Graphs organize information as entity-relation-entity triples, enabling machine learning models to predict plausible missing triples in a task known as Knowledge Graph Co…
On the Theoretical Limitations of Embedding-based Link Prediction
Samy Badreddine, Emile van Krieken, Luciano Serafini
Neural networks often map low-dimensional embeddings to high-dimensional output spaces. Usually, the output layer is linear, which can create a "rank bottleneck" that limits the fu…
ULLER: A Unified Language for Learning and Reasoning
Emile van Krieken, Samy Badreddine, Robin Manhaeve +1
The field of neuro-symbolic artificial intelligence (NeSy), which combines learning and reasoning, has recently experienced significant growth. There now are a wide variety of NeSy…
logLTN: Differentiable Fuzzy Logic in the Logarithm Space
Samy Badreddine, Luciano Serafini, Michael Spranger
The AI community is increasingly focused on merging logic with deep learning to create Neuro-Symbolic (NeSy) paradigms and assist neural approaches with symbolic knowledge. A signi…
KitchenScale: Learning to predict ingredient quantities from recipe contexts
Donghee Choi, Mogan Gim, Samy Badreddine +3
Determining proper quantities for ingredients is an essential part of cooking practice from the perspective of enriching tastiness and promoting healthiness. We introduce KitchenSc…
Interval Logic Tensor Networks
Samy Badreddine, Gianluca Apriceno, Andrea Passerini +1
In this paper, we introduce Interval Real Logic (IRL), a two-sorted logic that interprets knowledge such as sequential properties (traces) and event properties using sequences of r…
Logic Tensor Networks
Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini +1
Artificial Intelligence agents are required to learn from their surroundings and to reason about the knowledge that has been learned in order to make decisions. While state-of-the-…
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks
Samy Badreddine, Michael Spranger
Human ability at solving complex tasks is helped by priors on object and event semantics of their environment. This paper investigates the use of similar prior knowledge for transf…