NeuralFastLAS: Fast Logic-Based Learning from Raw Data

Understanding the exploding gradient problem

Original

Razvan Pascanu, Tomás Mikolov, and Yoshua Bengio · 2012

Earlier work this paper cites.

The ILASP system for learning answer set programs

Mark Law, Alessandra Russo, and Krysia Broda · 2015

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Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited

Stephen H. Muggleton, Dianhuan Lin, and Alireza Tamaddoni-Nezhad · 2015

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Metagol system

Andrew Cropper and Stephen H. Muggleton · 2016

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How much can experimental cost be reduced in active learning of agent strategies?

Céline Hocquette and Stephen Muggleton · 2018

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Deepproblog: Neural probabilistic logic programming

Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, and Luc De Raedt · 2018

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Neural arithmetic logic units

Andrew Trask, Felix Hill, Scott E Reed, Jack Rae, Chris Dyer, and Phil Blunsom · 2018

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A semantic loss function for deep learning with symbolic knowledge

Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, and Guy Van den Broeck · 2018

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Concept bottleneck models

Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, and Percy Liang · 2020

Cited alongside, same era.

Fastlas: Scalable inductive logic programming incorporating domain-specific optimisation criteria

Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, and Jorge Lobo · 2020

Cited alongside, same era.

Neurasp: Embracing neural networks into answer set programming

Zhun Yang, Adam Ishay, and Joohyung Lee · 2020

Cited alongside, same era.

Abductive knowledge induction from raw data

Wang-Zhou Dai and Stephen Muggleton · 2021

Later among the works it cites.

Scalable non-observational predicate learning in asp

Mark Law, Alessandra Russo, Krysia Broda, and Elisa Bertino · 2021

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Neural-symbolic integration: A compositional perspective

Efthymia Tsamoura, Timothy Hospedales, and Loizos Michael · 2021

Later among the works it cites.

Inductive learning of complex knowledge from raw data

Original

Daniel Cunnington, Mark Law, Jorge Lobo, and Alessandra Russo · 2022

Later among the works it cites.

The apperception engine

Richard Evans · 2022

Later among the works it cites.