Giuseppe Marra

Orcid: 0000-0001-5940-9562

According to our database1, Giuseppe Marra authored at least 57 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
From statistical relational to neurosymbolic artificial intelligence: A survey.
Artif. Intell., March, 2024

Quantified neural Markov logic networks.
Int. J. Approx. Reason., 2024

Interpretable Concept-Based Memory Reasoning.
CoRR, 2024

Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning.
CoRR, 2024

Towards a fully declarative neuro-symbolic language.
CoRR, 2024

Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models.
CoRR, 2024

Valid Text-to-SQL Generation with Unification-Based DeepStochLog.
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Subgraph Mining for Graph Neural Networks.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

From Statistical Relational to Neuro-Symbolic Artificial Intelligence.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
T-norms driven loss functions for machine learning.
Appl. Intell., August, 2023

Relational Concept Based Models.
CoRR, 2023

Neural probabilistic logic programming in discrete-continuous domains.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Transforming Subsea Optical Cables into a Giant Network of Environmental Sensors.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

An Experimental Overview of Neural-Symbolic Systems.
Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

Enhancing Embedding Representations of Biomedical Data using Logic Knowledge.
Proceedings of the International Joint Conference on Neural Networks, 2023

Safe Reinforcement Learning via Probabilistic Logic Shields.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Interpretable Neural-Symbolic Concept Reasoning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Deep Constraint-Based Propagation in Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Concept Embedding Models.
CoRR, 2022

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DeepStochLog: Neural Stochastic Logic Programming.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

A Constraint-Based Approach to Learning and Reasoning.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Bridging symbolic and subsymbolic reasoning with minimax entropy models.
Intelligenza Artificiale, 2021

From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey.
CoRR, 2021

Learning Representations for Sub-Symbolic Reasoning.
CoRR, 2021

Neural markov logic networks.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Approximate Inference for Neural Probabilistic Logic Programming.
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Online Learning of non-Markovian Reward Models.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances.
IEEE Trans. Neural Networks Learn. Syst., 2020

Online Learning of Non-Markovian Reward Models.
CoRR, 2020

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks.
CoRR, 2020

Local Propagation in Constraint-based Neural Network.
CoRR, 2020

Temperature Sensing Characteristics and Long Term Stability of Power LEDs Used for Voltage vs. Junction Temperature Measurements and Related Procedure.
IEEE Access, 2020

Local Propagation in Constraint-based Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

From Statistical Relational to Neuro-Symbolic Artificial Intelligence.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Lagrangian Approach to Information Propagation in Graph Neural Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Inference in relational neural machines.
Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Relational Neural Machines.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Learning and T-Norms Theory.
CoRR, 2019

LYRICS: a General Interface Layer to Integrate AI and Deep Learning.
CoRR, 2019

Integrating Learning and Reasoning with Deep Logic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

On the Relation Between Loss Functions and T-Norms.
Proceedings of the Inductive Logic Programming - 29th International Conference, 2019

Constraint-Based Visual Generation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Learning Activation Functions by Means of Kernel Based Neural Networks.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018
Backpropagation and Biological Plausibility.
CoRR, 2018

Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks.
CoRR, 2018

A Constrained-Based Approach to Machine Learning.
Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2016
Information diffusion in a multi-social-network scenario: framework and ASP-based analysis.
Knowl. Inf. Syst., 2016

2014
Investigating Node Influence Maximization and Influential Node Characterization in a Multi-Social-Network Scenario via Disjunctive Logic Programming.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming.
Proceedings of the Web Reasoning and Rule Systems - 8th International Conference, 2014

Defining and Investigating the Scope of Users and Hashtags in Twitter - (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

Exploiting Answer Set Programming for Handling Information Diffusion in a Multi-Social-Network Scenario.
Proceedings of the Logics in Artificial Intelligence - 14th European Conference, 2014

2013
Transfer of optical frequency combs over optical fibre links.
PhD thesis, 2013


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