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08/28/2023
Proceedings 39th International Conference on Logic Programming
This volume contains the Technical Communications presented at the 39th ...
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12/22/2022
A Semantic Framework for Neural-Symbolic Computing
Two approaches to AI, neural networks and symbolic systems, have been pr...
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12/22/2021
Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding
We propose neural-symbolic integration for abstract concept explanation ...
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12/10/2021
Logical Boltzmann Machines
The idea of representing symbolic knowledge in connectionist systems has...
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09/26/2021
Synthetic Data Generation for Fraud Detection using GANs
Detecting money laundering in gambling is becoming increasingly challeng...
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09/20/2021
Counterfactual Instances Explain Little
In many applications, it is important to be able to explain the decision...
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06/28/2021
Contrastive Counterfactual Visual Explanations With Overdetermination
A novel explainable AI method called CLEAR Image is introduced in this p...
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12/25/2020
Logic Tensor Networks
Artificial Intelligence agents are required to learn from their surround...
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12/10/2020
Neurosymbolic AI: The 3rd Wave
Current advances in Artificial Intelligence (AI) and Machine Learning (M...
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11/13/2020
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision
We propose a new model for relational VAE semi-supervision capable of ba...
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03/19/2020
Layerwise Knowledge Extraction from Deep Convolutional Networks
Knowledge extraction is used to convert neural networks into symbolic de...
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11/11/2019
Making Good on LSTMs Unfulfilled Promise
LSTMs promise much to financial time-series analysis, temporal and cross...
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08/08/2019
Measurable Counterfactual Local Explanations for Any Classifier
We propose a novel method for explaining the predictions of any classifi...
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06/15/2019
Efficient predicate invention using shared "NeMuS"
Amao is a cognitive agent framework that tackles the invention of predic...
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05/15/2019
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Current advances in Artificial Intelligence and machine learning in gene...
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12/06/2018
Continuous Learning Augmented Investment Decisions
Investment decisions can benefit from incorporating an accumulated knowl...
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12/06/2018
Continual Learning Augmented Investment Decisions
Investment decisions can benefit from incorporating an accumulated knowl...
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04/23/2018
Towards Symbolic Reinforcement Learning with Common Sense
Deep Reinforcement Learning (deep RL) has made several breakthroughs in ...
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11/10/2017
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
The study and understanding of human behaviour is relevant to computer s...
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05/24/2017
Logic Tensor Networks for Semantic Image Interpretation
Semantic Image Interpretation (SII) is the task of extracting structured...
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01/18/2017
Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples
This article aims to achieve two goals: to show that probability is not ...
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06/14/2016
