Neural Probabilistic Logic Programming in DeepProbLog

18 July 2019

Papers citing "Neural Probabilistic Logic Programming in DeepProbLog"

39 / 89 papers shown

Title
NeuPSL: Neural Probabilistic Soft Logic Connor Pryor Charles Dickens Eriq Augustine Alon Albalak William Wang Lise Getoor NAI 16 33 0 27 May 2022
Efficient Knowledge Compilation Beyond Weighted Model Counting Rafael Kiesel Pietro Totis Angelika Kimmig 39 7 0 16 May 2022
An Algebraic Approach to Learning and Grounding Johanna Björklund Adam Dahlgren Lindström F. Drewes 24 0 0 06 Apr 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review Kyle Hamilton Aparna Nayak Bojan Bozic Luca Longo NAI 29 57 0 24 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 18 21 0 07 Feb 2022
Tractable Boolean and Arithmetic Circuits Adnan Darwiche TPM 36 12 0 07 Feb 2022
A Critical Review of Inductive Logic Programming Techniques for Explainable AI Zheng Zhang Liangliang Xu L. Yilmaz Bo Liu 20 7 0 31 Dec 2021
Neuro-Symbolic Hierarchical Rule Induction Claire Glanois Xuening Feng Zhaohui Jiang Paul Weng Matthieu Zimmer Dong Li Wulong Liu NAI 36 23 0 26 Dec 2021
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 17 13 0 23 Dec 2021
Logical Boltzmann Machines Son N. Tran Artur Garcez 27 3 0 10 Dec 2021
SaDe: Learning Models that Provably Satisfy Domain Constraints Kshitij Goyal Sebastijan Dumancic Hendrik Blockeel ALM 25 5 0 01 Dec 2021
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks Nicholas Hoernle Rafael-Michael Karampatsis Vaishak Belle Y. Gal 24 59 0 02 Nov 2021
Neuro-Symbolic Forward Reasoning Hikaru Shindo Devendra Singh Dhami Kristian Kersting NAI LRM 35 22 0 18 Oct 2021
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming Arseny Skryagin Wolfgang Stammer Daniel Ochs Devendra Singh Dhami Kristian Kersting NAI 33 6 0 07 Oct 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 30 128 0 21 Jul 2021
DeepStochLog: Neural Stochastic Logic Programming Thomas Winters G. Marra Robin Manhaeve Luc de Raedt BDL NAI 21 62 0 23 Jun 2021
Relational Reasoning Networks G. Marra Michelangelo Diligenti Francesco Giannini NAI 29 4 0 01 Jun 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 49 77 0 24 Apr 2021
A conditional, a fuzzy and a probabilistic interpretation of self-organising maps Laura Giordano Valentina Gliozzi Daniele Theseider Dupré AI4CE 40 23 0 11 Mar 2021
Differentiable Inductive Logic Programming for Structured Examples Hikaru Shindo Masaaki Nishino Akihiro Yamamoto NAI 43 29 0 02 Mar 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases M. V. Bekkum M. D. Boer F. V. Harmelen André Meyer-Vitali A. T. Teije 25 68 0 23 Feb 2021
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model Laura Giordano Daniele Theseider Dupré 36 35 0 24 Dec 2020
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 65 292 0 10 Dec 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations Wolfgang Stammer P. Schramowski Kristian Kersting FAtt 14 107 0 25 Nov 2020
Modeling Content and Context with Deep Relational Learning Maria Leonor Pacheco Dan Goldwasser NAI 41 34 0 20 Oct 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 41 17 0 13 Jul 2020
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite Domains Vaishak Belle NAI LRM 18 36 0 15 Jun 2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis Catherine Wong Maxwell Nye Mathias Sablé-Meyer Luc Cary Lucas Morales Luke B. Hewitt Armando Solar-Lezama J. Tenenbaum NAI CLL 17 190 0 15 Jun 2020
Analyzing Differentiable Fuzzy Implications Emile van Krieken Erman Acar F. V. Harmelen AI4CE 26 29 0 04 Jun 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving Maxime Mulamba Jayanta Mandi Rocsildes Canoy Tias Guns 33 11 0 24 Mar 2020
Relational Neural Machines G. Marra Michelangelo Diligenti Francesco Giannini Marco Gori Marco Maggini NAI BDL 25 38 0 06 Feb 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,110 0 22 Oct 2019
Integrating Knowledge and Reasoning in Image Understanding Somak Aditya Yezhou Yang Chitta Baral OCL 19 40 0 24 Jun 2019
Declarative Learning-Based Programming as an Interface to AI Systems Parisa Kordjamshidi Dan Roth Kristian Kersting 17 4 0 18 Jun 2019
Synthesizing Datalog Programs Using Numerical Relaxation X. Si Mukund Raghothaman K. Heo Mayur Naik 25 52 0 01 Jun 2019
Learning Relational Representations with Auto-encoding Logic Programs Sebastijan Dumancic Tias Guns Wannes Meert Hendrik Blockeel NAI 13 28 0 29 Mar 2019
Integrating Learning and Reasoning with Deep Logic Models G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori NAI 26 56 0 14 Jan 2019
Ontology Reasoning with Deep Neural Networks Patrick Hohenecker Thomas Lukasiewicz NAI 27 81 0 24 Aug 2018
Logic Tensor Networks for Semantic Image Interpretation Ivan Donadello Luciano Serafini Artur Garcez 59 209 0 24 May 2017