Rodrigo Abadía-Heredia

According to our database, Rodrigo Abadía-Heredia authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

LayerBoost: Layer-Aware Attention Reduction for Efficient LLMs.

Mohamed Ali Souibgui, Jan Fostier, Rodrigo Abadía-Heredia, Bohdan Denysenko, Christian Marschke, Igor Peric

CoRR, April, 2026

2025

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning.

Rodrigo Abadía-Heredia, Manuel López Martín, Soledad Le Clainche

CoRR, May, 2025

Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models.

Arindam Sengupta, Rodrigo Abadía-Heredia, Ashton Hetherington, José Miguel Pérez, Soledad Le Clainche

CoRR, April, 2025

2024

ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools.

Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Maiora, Manuel López Martín, Soledad Le Clainche

Comput. Phys. Commun., 2024

Exploring the efficacy of a hybrid approach with modal decomposition over fully deep learning models for flow dynamics forecasting.

Rodrigo Abadía-Heredia, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche

CoRR, 2024

2023

Forecasting through deep learning and modal decomposition in two-phase concentric jets.

León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche

Expert Syst. Appl., December, 2023

ModelFLOWs-app: data-driven post-processing and reduced order modelling tools.

Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Moira, Manuel López Martín, Soledad Le Clainche

CoRR, 2023

2022

A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures.

Rodrigo Abadía-Heredia, Manuel López Martín, Belén Carro, Juan Ignacio Arribas, José Miguel Pérez, Soledad Le Clainche

Expert Syst. Appl., 2022

Forecasting through deep learning and modal decomposition in multi-phase concentric jets.

León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche

CoRR, 2022