Irene Zarza

According to our database, Irene Zarza authored at least 35 papers between 2017 and 2026.

Collaborative distances:

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

2026

Language-Conditioned Visual Grounding with CLIP Multilingual.

Joachim de Curtò, Mauro Liz, Irene C. Zarza

CoRR, May, 2026

A Computational Framework for Cross-Domain Mission Design and Onboard Cognitive Decision Support.

Joachim de Curtò, Adrianne Schneider, Ricardo Yanez, María Begara, Álvaro Rodríguez, Javier López, Martina Fraga, Ignacio Gómez, Arman Akdag, Sumit Kulkarni, Siddhant Nair, Kiyan Govender, Eian Wratchford, Eli Lynskey, Seamus Dunlap, Cooper Nervick, Nicolas Tête, Rocío Fernández, Pablo González, Elena Municio, Irene de Zarzà

CoRR, March, 2026

LLM Constitutional Multi-Agent Governance.

Joachim de Curtò, Irene C. Zarza

CoRR, March, 2026

Semantic Invariance in Agentic AI.

Irene C. Zarza, Joachim de Curtò, Jordi Cabot, Pietro Manzoni, Carlos T. Calafate

CoRR, March, 2026

Cross-platform evaluation of reasoning capabilities in foundation models.

Joachim de Curtò, Irene de Zarzà, Pablo García, Jordi Cabot, Juan-Carlos Cano, Carlos T. Calafate

Inf. Process. Manag., 2026

2025

Cross-Platform Evaluation of Reasoning Capabilities in Foundation Models.

Joachim de Curtò, Irene de Zarzà, Pablo García, Jordi Cabot

CoRR, October, 2025

Advanced System Engineering Approaches to Emerging Challenges in Planetary and Deep-Space Exploration.

Joachim de Curtò, Cristina LiCalzi, Julien Tubiana Warin, Jack Gehlert, Brian Langbein, Alexandre Gamboa, Chris Sixbey, William Maguire, Santiago Fernández, Álvaro Maestroarena, Alex Brenchley, Logan Maroclo, Philemon Mercado, Joshua DeJohn, Cesar Velez, Ethan Dahmus, Taylor Steinys, David Fritz, Irene de Zarzà

CoRR, June, 2025

An Institutional Theory Framework for Leveraging Large Language Models for Policy Analysis and Intervention Design.

Joachim de Curtò, Irene de Zarzà, Leandro Sebastián Fervier, Victoria Sanagustín-Fons, Carlos T. Calafate

Future Internet, 2025

Metamorphic Testing for Semantic Invariance in Large Language Models.

Joachim de Curtò, Irene de Zarzà

IEEE Access, 2025

LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems.

Joachim de Curtò, Irene de Zarzà

IEEE Access, 2025

Integrating Polyglot Persistence with Large Language Models for Scalable Social Network Applications.

Joachim de Curtò, Irene de Zarzà, Carlos T. Calafate

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

LLM-Powered Cooperative Perception Framework for Mixed UAV-Vehicle Platoons.

Joachim de Curtò, Irene de Zarzà

Proceedings of the 10th International Conference on Fog and Mobile Edge Computing, 2025

Foundation Models for Tabular Intrusion Detection: Evaluating TabPFN and LLM Few-Shot Classification on IoT Network Security.

Pablo García, Joachim de Curtò, Irene de Zarzà

Proceedings of the 3rd International Conference on Foundation and Large Language Models, 2025

2024

AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms.

Irene de Zarzà

PhD thesis, 2024

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum.

Joachim de Curtò, Irene C. Zarza, Juan-Carlos Cano, Carlos T. Calafate

Future Internet, 2024

Isomorphic Structures and Operator Analysis in Mimetic Discretizations.

Joachim de Curtò, Irene de Zarzà

IEEE Access, 2024

LLM Multi-agent Decision Optimization.

Joachim de Curtò, Irene de Zarzà, Carlos T. Calafate

Proceedings of the Agents and Multi-agent Systems: Technologies and Applications 2024, 2024

Physics-Informed Neural Networks for Enhanced Thermal Regulation in a Spacecraft.

Joachim de Curtò, Irene de Zarzà

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Comparative Analysis of Reasoning Capabilities in Foundation Models.

Joachim de Curtò, Irene de Zarzà

Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024

2023

LLM Multimodal Traffic Accident Forecasting.

Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate

Sensors, November, 2023

LLM Adaptive PID Control for B5G Truck Platooning Systems.

Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate

Sensors, July, 2023

UMAP for Geospatial Data Visualization.

Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Area Estimation of Forest Fires using TabNet with Transformers.

Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Socratic Video Understanding on Unmanned Aerial Vehicles.

Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Decentralized Platooning Optimization for Trucks: A MILP and ADMM-based Convex Approach to Minimize Latency and Energy Consumption.

Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Decentralized Planning of Platoons in Road Transport using Reinforcement Learning.

Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022

On the applicability of the Hadamard as an input modulator for problems of classification.

Joachim de Curtò, Irene de Zarzà, Hong Yan, Carlos T. Calafate

Softw. Impacts, 2022

Detection of glaucoma using three-stage training with EfficientNet.

Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate

Intell. Syst. Appl., 2022

Learning with Signatures.

Joachim de Curtò, Irene de Zarzà, Hong Yan

CoRR, 2022

Signature and Log-signature for the Study of Empirical Distributions Generated with GANs.

Joachim de Curtò, Irene de Zarzà, Hong Yan

CoRR, 2022

2021

A Unifying Theory of Learning: DL Meets Kernel Methods. (Eine einheitliche Theorie des Lernens: DL trifft Kernel-Methoden / Une théorie unifiante de l'apprentissage: DL rencontre méthodes à noyaux).

Irene de Zarzà

PhD thesis, 2021

2019

Doctor of Crosswise: Reducing Over-parametrization in Neural Networks.

Joachim de Curtò, Irene C. Zarza

CoRR, 2019

2017

High-Resolution Deep Convolutional Generative Adversarial Networks.

Joachim de Curtò, Irene C. Zarza, Fernando De la Torre, Irwin King, Michael R. Lyu

CoRR, 2017

F2F: A Library For Fast Kernel Expansions.

Joachim de Curtò, Irene Zarza, Feng Yang, Alexander J. Smola, Luc Van Gool

CoRR, 2017

HashBox: Hash Hierarchical Segmentation exploiting Bounding Box Object Detection.

Joachim de Curtò, Irene Zarza, Alexander J. Smola, Luc Van Gool

CoRR, 2017