Weighted First Order Model Counting (WFOMC) is fundamental to probabilis...
The AI community is increasingly focused on merging logic with deep lear...
Using only image-sentence pairs, weakly-supervised visual-textual ground...
In this paper, we introduce Interval Real Logic (IRL), a two-sorted logi...
Statistical Relational Learning (SRL) integrates First-Order Logic (FOL)...
Autonomous agents embedded in a physical environment need the ability to...
Learning how to navigate among humans in an occluded and spatially
const...
Neuro-Symbolic (NeSy) integration combines symbolic reasoning with Neura...
Recent work has shown logical background knowledge can be used in learni...
In the recent past, there has been a growing interest in Neural-Symbolic...
Markov Logic Networks (MLNs) define a probability distribution on relati...
In this paper, we present a novel approach to incrementally learn an Abs...
The burgeoning of AI has prompted recommendations that AI techniques sho...
To effectively use an abstract (PDDL) planning domain to achieve goals i...
In this paper we present a textual description, in terms of Description
...
Given a textual phrase and an image, the visual grounding problem is def...
Reasoning on defeasible knowledge is a topic of interest in the area of
...
Artificial Intelligence agents are required to learn from their surround...
Weighted First Order Model Counting (WFOMC) computes the weighted sum of...
In the recent past, there has been a growing interest in Neural-Symbolic...
Can the intrinsic relation between an object and the room in which it is...
Semantic Image Interpretation is the task of extracting a structured sem...
Representation of defeasible information is of interest in description
l...
Current advances in Artificial Intelligence and machine learning in gene...
We propose a framework for learning discrete deterministic planning doma...
Most of the works on planning and learning, e.g., planning by (model bas...
This paper is an appendix to the paper "Reasoning with Justifiable Excep...
Semantic Image Interpretation (SII) is the task of extracting structured...
Systems for automatic extraction of semantic information about events fr...
We propose Logic Tensor Networks: a uniform framework for integrating
au...
The proliferation of contextualized knowledge in the Semantic Web (SW) h...
Every day, billions of mobile network events (i.e. CDRs) are generated b...
The recent outburst of context-dependent knowledge on the Semantic Web (...