Add to ORKG© 2018 Curran Associates Inc..All rights reserved. We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning by means of neural predicates. We show how existing inference and learning techniques can be adapted for the new language. Our experiments demonstrate that DeepProbLog supports (i) both symbolic and subsymbolic representations and inference, (ii) program induction, (iii) probabilistic (logic) programming, and (iv) (deep) learning from examples. To the best of our knowledge, this work is the first to propose a framework where general-purpose neural networks and expressive probabilistic-logical modeling and reasoning are integrated in a way that exploits the full expressiveness and strengths o...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
Deep learning is very effective at jointly learning feature representations and classification model...
Deep learning is very effective at jointly learning feature representations and classification model...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
Recent advances in neural-symbolic learning, such as DeepProbLog, extend probabilistic logic program...
The past few years have seen a surge of interest in the field of probabilistic logic learning and st...
The past few years have seen a surge of interest in the field of probabilistic logic learning and ...
The past few years have seen a surge of interest in the field of probabilistic logic learning and st...
Due to its expressiveness and intuitiveness, Probabilistic logic programming (PLP) is a useful tool ...
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
Deep learning is very effective at jointly learning feature representations and classification model...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
Deep learning is very effective at jointly learning feature representations and classification model...
Deep learning is very effective at jointly learning feature representations and classification model...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning...
Recent advances in neural-symbolic learning, such as DeepProbLog, extend probabilistic logic program...
The past few years have seen a surge of interest in the field of probabilistic logic learning and st...
The past few years have seen a surge of interest in the field of probabilistic logic learning and ...
The past few years have seen a surge of interest in the field of probabilistic logic learning and st...
Due to its expressiveness and intuitiveness, Probabilistic logic programming (PLP) is a useful tool ...
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
Deep learning is very effective at jointly learning feature representations and classification model...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
Deep learning is very effective at jointly learning feature representations and classification model...
Deep learning is very effective at jointly learning feature representations and classification model...