Ricardo Vinuesa
Orcid: 0000-0001-6570-5499
According to our database1,
Ricardo Vinuesa authored at least 92 papers
between 2019 and 2026.
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Bibliography
2026
High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning.
CoRR, May, 2026
AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling.
CoRR, May, 2026
Timescale Separation Enables Deep Reinforcement Learning Control of Rotating Detonation Engine Mode Transitions.
CoRR, April, 2026
Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations.
CoRR, April, 2026
CoRR, April, 2026
Evaluating visual mathematics in multimodal LLMs: a multilingual benchmark based on the Kangaroo tests.
J. Supercomput., February, 2026
Explainable deep learning reveals the physical mechanisms behind the turbulent kinetic energy equation.
CoRR, January, 2026
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance.
CoRR, January, 2026
CoRR, January, 2026
Expert Syst. Appl., 2026
Transformer-based fault-tolerant control for fixed-wing aerial vehicles using offline reinforcement learning.
Eng. Appl. Artif. Intell., 2026
Potential and challenges of generative adversarial networks for super-resolution in 4D flow MRI.
Comput. Biol. Medicine, 2026
Information-Theoretic Unsupervised Feature Selection for High-Dimensional Spatial Data.
Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026
Multi-Partner Project: Multi-GPU Performance Portability Analysis for CFD Simulations at Scale.
Proceedings of the Design, Automation & Test in Europe Conference, 2026
2025
Shocks Under Control: Taming Transonic Compressible Flow over an RAE2822 Airfoil with Deep Reinforcement Learning.
CoRR, November, 2025
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems.
CoRR, November, 2025
Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region.
CoRR, November, 2025
CoRR, October, 2025
Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000.
CoRR, September, 2025
Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning.
CoRR, September, 2025
Exploring the interplay between Planetary Boundaries and Sustainable Development Goals using Large Language Models.
CoRR, September, 2025
Evaluating Visual Mathematics in Multimodal LLMs: A Multilingual Benchmark Based on the Kangaroo Tests.
CoRR, June, 2025
Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments.
CoRR, June, 2025
Regional climate projections using a deep-learning-based model-ranking and downscaling framework: Application to European climate zones.
CoRR, February, 2025
CoRR, February, 2025
Large language models in climate and sustainability policy: limits and opportunities.
CoRR, February, 2025
J. Comput. Phys., 2025
Model-agnostic AI framework with explicit time integration for long-term fluid dynamics prediction.
J. Comput. Des. Eng., 2025
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
POSTER: Performance Portability in GPU-Accelerated Spectral Finite Element Fluid Simulations: A Cross-layer Exploration Approach.
Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025
2024
Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks.
Expert Syst. Appl., 2024
Towards Robust Spatio-Temporal Auto-Regressive Prediction: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout.
CoRR, 2024
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation.
CoRR, 2024
Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer.
CoRR, 2024
Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection.
CoRR, 2024
Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload.
Proceedings of the 20th IEEE International Conference on e-Science, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024
2023
Technol. Knowl. Learn., March, 2023
Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows.
J. Comput. Phys., February, 2023
Frontiers Comput. Sci., 2023
Active flow control for three-dimensional cylinders through deep reinforcement learning.
CoRR, 2023
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows.
CoRR, 2023
Effective control of two-dimensional Rayleigh-Bénard convection: invariant multi-agent reinforcement learning is all you need.
CoRR, 2023
Closing the gap between research and projects in climate change innovation in Europe.
CoRR, 2023
CoRR, 2023
Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
2022
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst.
J. Supercomput., 2022
Softw. Pract. Exp., 2022
Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object Inspection.
Sensors, 2022
The Role of Robotics in Achieving the United Nations Sustainable Development Goals - The Experts' Meeting at the 2021 IEEE/RSJ IROS Workshop [Industry Activities].
IEEE Robotics Autom. Mag., 2022
Nat. Comput. Sci., 2022
An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics.
J. Comput. Sci., 2022
Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems.
J. Comput. Phys., 2022
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula.
J. Artif. Intell. Res., 2022
Log. J. IGPL, 2022
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows.
Expert Syst. Appl., 2022
Comput. Sci. Eng., 2022
The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence.
CoRR, 2022
Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations.
CoRR, 2022
CoRR, 2022
CoRR, 2022
The potential of artificial intelligence for achieving healthy and sustainable societies.
CoRR, 2022
IEEE Access, 2022
2021
Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic.
Big Data Soc., July, 2021
Interpretable deep-learning models to help achieve the Sustainable Development Goals.
Nat. Mach. Intell., 2021
Acquisition and User Behavior in Online Science Laboratories before and during the COVID-19 Pandemic.
Multimodal Technol. Interact., 2021
UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD).
J. Open Source Softw., 2021
CoRR, 2021
Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression.
CoRR, 2021
Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations.
CoRR, 2021
COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments.
CoRR, 2021
2020
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence.
CoRR, 2020
CoRR, 2020
2019
CoRR, 2019
Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
Proceedings of the 9th IEEE Symposium on Large Data Analysis and Visualization, 2019