Joachim de Curtò

Orcid: 0000-0002-8334-4719

Affiliations:
  • Polytechnic University of Valencia, Department of Computer Engineering, Spain
  • ETH Zurich, Zürich, Switzerland (PhD 2017)


According to our database1, Joachim de Curtò authored at least 38 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Language-Conditioned Visual Grounding with CLIP Multilingual.
CoRR, May, 2026

A Computational Framework for Cross-Domain Mission Design and Onboard Cognitive Decision Support.
CoRR, March, 2026

LLM Constitutional Multi-Agent Governance.
CoRR, March, 2026

Semantic Invariance in Agentic AI.
CoRR, March, 2026

Cross-platform evaluation of reasoning capabilities in foundation models.
Inf. Process. Manag., 2026

2025
Cross-Platform Evaluation of Reasoning Capabilities in Foundation Models.
CoRR, October, 2025

Advanced System Engineering Approaches to Emerging Challenges in Planetary and Deep-Space Exploration.
CoRR, June, 2025

An Institutional Theory Framework for Leveraging Large Language Models for Policy Analysis and Intervention Design.
Future Internet, 2025

Metamorphic Testing for Semantic Invariance in Large Language Models.
IEEE Access, 2025

LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems.
IEEE Access, 2025

Integrating Polyglot Persistence with Large Language Models for Scalable Social Network Applications.
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.
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.
Proceedings of the 3rd International Conference on Foundation and Large Language Models, 2025

2024
Frontiers of Large Language Models: Empowering Decision Optimization, Scene Understanding, and Summarization Through Advanced Computational Approaches.
PhD thesis, 2024

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum.
Future Internet, 2024

Isomorphic Structures and Operator Analysis in Mimetic Discretizations.
IEEE Access, 2024

LLM Multi-agent Decision Optimization.
Proceedings of the Agents and Multi-agent Systems: Technologies and Applications 2024, 2024

Physics-Informed Neural Networks for Enhanced Thermal Regulation in a Spacecraft.
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.
Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024

2023
LLM Multimodal Traffic Accident Forecasting.
Sensors, November, 2023

LLM Adaptive PID Control for B5G Truck Platooning Systems.
Sensors, July, 2023

UMAP for Geospatial Data Visualization.
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.
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.
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.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Decentralized Planning of Platoons in Road Transport using Reinforcement Learning.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from CE-4.
Dataset, January, 2022

On the applicability of the Hadamard as an input modulator for problems of classification.
Softw. Impacts, 2022

Detection of glaucoma using three-stage training with EfficientNet.
Intell. Syst. Appl., 2022

Learning with Signatures.
CoRR, 2022

Signature and Log-signature for the Study of Empirical Distributions Generated with GANs.
CoRR, 2022

2020
Vulcan Centaur: towards end-to-end real-time perception in lunar rovers.
CoRR, 2020

Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4.
CoRR, 2020

2019
Doctor of Crosswise: Reducing Over-parametrization in Neural Networks.
CoRR, 2019

2017
Vision and Learning in the Context of Exploratory Rovers. (Vision und Lernen im Kontext exploratorischer Rover / Vision et apprentissage dans le contexte des rovers planétaires).
PhD thesis, 2017

High-Resolution Deep Convolutional Generative Adversarial Networks.
CoRR, 2017

F2F: A Library For Fast Kernel Expansions.
CoRR, 2017

HashBox: Hash Hierarchical Segmentation exploiting Bounding Box Object Detection.
CoRR, 2017


  Loading...