Nelson Higuera

According to our database, Nelson Higuera authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Large-Neighbourhood Search for Optimisation in Answer-Set Programming.

Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, David Pflieger, Daria Stepanova

Dataset, December, 2024

Adaptive Large-Neighbourhood Search for Optimisation in Answer-Set Programming.

Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, David Pflieger, Daria Stepanova

Dataset, April, 2024

Visual Graph Question Answering with ASP and LLMs for Language Parsing.

Jakob Johannes Bauer, Thomas Eiter, Nelson Higuera Ruiz, Johannes Oetsch

Proceedings of the Proceedings 40th International Conference on Logic Programming, February, 2024

Declarative Knowledge Distillation from Large Language Models for Visual Question Answering Datasets.

Thomas Eiter, Jan Hadl, Nelson Higuera, Johannes Oetsch

CoRR, 2024

Adaptive large-neighbourhood search for optimisation in answer-set programming.

Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Dave Pfliegler, Daria Stepanova

Artif. Intell., 2024

Leveraging Neurosymbolic AI for Slice Discovery.

Michele Collevati, Thomas Eiter, Nelson Higuera

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

2023

A Modular Neurosymbolic Approach for Visual Graph Question Answering.

Thomas Eiter, Nelson Higuera Ruiz, Johannes Oetsch

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering.

Thomas Eiter, Tobias Geibinger, Nelson Higuera, Johannes Oetsch

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

A Neuro-Symbolic ASP Pipeline for Visual Question Answering.

Thomas Eiter, Nelson Higuera, Johannes Oetsch, Michael Pritz

Theory Pract. Log. Program., 2022

On the expressiveness of Lara: A proposal for unifying linear and relational algebra.

Pablo Barceló, Nelson Higuera, Jorge Pérez, Bernardo Subercaseaux

Theor. Comput. Sci., 2022

ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser.

Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Daria Stepanova

Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022

Large-Neighbourhood Search for Optimisation in Answer-Set Solving.

Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Daria Stepanova

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

On the Expressiveness of LARA: A Unified Language for Linear and Relational Algebra.

Pablo Barceló, Nelson Higuera, Jorge Pérez, Bernardo Subercaseaux

Proceedings of the 23rd International Conference on Database Theory, 2020

2019

Expressiveness of Matrix and Tensor Query Languages in terms of ML Operators.

Pablo Barceló, Nelson Higuera, Jorge Pérez, Bernardo Subercaseaux

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019