Ricardo Vinuesa

93 papers A* 3A 2B 1Journal 83Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-Driven Reduced-Complexity Modeling of Fluid Flows: A Community Challenge. CoRR Oliver T. Schmidt, Aaron Towne, Adrián Lozano-Durán, Scott T. M. Dawson, Ricardo Vinuesa
2026	J	`jnl`	Evaluating visual mathematics in multimodal LLMs: a multilingual benchmark based on the Kangaroo tests. J. Supercomput. Arnau Igualde-Sáez, Lamyae Rhomrasi, Yusef Ahsini, Ricardo Vinuesa, Sergio Hoyas, José Pedro García-Sabater, Marius J. Fullana i Alfonso, J. Alberto Conejero
2026	J	`jnl`	Explainable AI: Learning from the Learners. CoRR Ricardo Vinuesa, Steven L. Brunton, Gianmarco Mengaldo
2026	J	`jnl`	Explainable deep learning reveals the physical mechanisms behind the turbulent kinetic energy equation. CoRR Francisco Alcántara-Ávila, Andres Cremades, Sergio Hoyas, Ricardo Vinuesa
2026	J	`jnl`	GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance. CoRR Francisco Giral, Álvaro Manzano, Ignacio Gómez, Ricardo Vinuesa, Soledad Le Clainche
2026	J	`jnl`	Mesh-agnostic prediction of unsteady flow dynamics using graph U-Nets. Expert Syst. Appl. Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2026	J	`jnl`	Multi-Partner Project: Multi-GPU Performance Portability Analysis for CFD Simulations at Scale. CoRR Panagiotis-Eleftherios Eleftherakis, George Anagnostopoulos, Anastassis Kapetanakis, Mohammad Umair, Jean-Yves Vet, Konstantinos Iliakis, Jonathan Vincent, Jing Gong, Akshay Patil, Clara García-Sánchez, Gerardo Zampino, Ricardo Vinuesa, Sotirios Xydis
2026	J	`jnl`	Transformer-based fault-tolerant control for fixed-wing aerial vehicles using offline reinforcement learning. Eng. Appl. Artif. Intell. Francisco Giral, Ignacio Gómez, Ricardo Vinuesa, Soledad Le Clainche
2025	J	`jnl`	Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region. CoRR Parthiban Loganathan, Elias Zea, Ricardo Vinuesa, Evelyn Otero
2025	J	`jnl`	Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000. CoRR Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez
2025	J	`jnl`	Deep-reinforcement-learning-based separation control in a two-dimensional airfoil. CoRR Xavier Garcia, Arnau Miró, Pol Suárez, Francisco Alcántara-Ávila, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa
2025	J	`jnl`	Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments. CoRR Abhijeet Vishwasrao, Sai Bharath Chandra Gutha, Andres Cremades, Klas Wijk, Aakash Patil, Catherine Gorlé, Beverley J. McKeon, Hossein Azizpour, Ricardo Vinuesa
2025	J	`jnl`	Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning. CoRR Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez
2025	J	`jnl`	Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems. CoRR Hans Harder, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, Sebastian Peitz
2025	J	`jnl`	Evaluating Visual Mathematics in Multimodal LLMs: A Multilingual Benchmark Based on the Kangaroo Tests. CoRR Arnau Igualde Sáez, Lamyae Rhomrasi, Yusef Ahsini, Ricardo Vinuesa, Sergio Hoyas, José Pedro García-Sabater, Marius J. Fullana i Alfonso, J. Alberto Conejero
2025	J	`jnl`	Exploring the interplay between Planetary Boundaries and Sustainable Development Goals using Large Language Models. CoRR Lamyae Rhomrasi, Pilar Manchón, Ricardo Vinuesa, Francesco Fuso Nerini, J. Alberto Conejero, Javier García-Martínez, Sergio Hoyas
2025	A	`conf`	Inverse Problems with Diffusion Models: A MAP Estimation Perspective. WACV Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour
2025	J	`jnl`	Large language models in climate and sustainability policy: limits and opportunities. CoRR Francesca Larosa, Sergio Hoyas, H. Alberto Conejero, Javier García-Martínez, Francesco Fuso Nerini, Ricardo Vinuesa
2025	J	`jnl`	Mode-Seeking for Inverse Problems with Diffusion Models. CoRR Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour
2025	J	`jnl`	Model-agnostic AI framework with explicit time integration for long-term fluid dynamics prediction. J. Comput. Des. Eng. Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2025	J	`jnl`	Navigation in a Three-Dimensional Urban Flow using Deep Reinforcement Learning. CoRR Federica Tonti, Ricardo Vinuesa
2025	J	`jnl`	Navigation in a simplified urban flow through deep reinforcement learning. J. Comput. Phys. Federica Tonti, Jean Rabault, Ricardo Vinuesa
2025	—	`conf`	POSTER: Performance Portability in GPU-Accelerated Spectral Finite Element Fluid Simulations: A Cross-layer Exploration Approach. CF Panagiotis-Eleftherios Eleftherakis, George Anagnostopoulos, Anastassis Kapetanakis, Mohammad Umair, Jean-Yves Vet, Konstantinos Iliakis, Jonathan Vincent, Jing Gong, Ricardo Vinuesa, Sotirios Xydis
2025	J	`jnl`	Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI. CoRR Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger, Edward Ferdian, Alistair A. Young, C. Alberto Figueroa, Susanne Schnell, Outi Tammisola, Ricardo Vinuesa, Tobias Granberg, Alexander Fyrdahl, David Marlevi
2025	J	`jnl`	Regional climate projections using a deep-learning-based model-ranking and downscaling framework: Application to European climate zones. CoRR Parthiban Loganathan, Elias Zea, Ricardo Vinuesa, Evelyn Otero
2025	A*	`conf`	SFESS: Score Function Estimators for k-Subset Sampling. ICLR Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
2025	J	`jnl`	Shocks Under Control: Taming Transonic Compressible Flow over an RAE2822 Airfoil with Deep Reinforcement Learning. CoRR Trishit Mondal, Ricardo Vinuesa, Ameya D. Jagtap
2024	B	`conf`	AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. e-Science Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis
2024	J	`jnl`	AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. CoRR Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis
2024	J	`jnl`	Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer. CoRR Andres Cremades, Sergio Hoyas, Ricardo Vinuesa
2024	J	`jnl`	Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality. CoRR Joogoo Jeon, Jean Rabault, Joel Vasanth, Francisco Alcántara-Ávila, Shilaj Baral, Ricardo Vinuesa
2024	A	`conf`	Auto-tuning Multi-GPU High-Fidelity Numerical Simulations for Urban Air Mobility. DATE Konstantina Koliogeorgi, George Anagnostopoulos, Gerardo Zampino, Marcial Sanchis, Ricardo Vinuesa, Sotirios Xydis
2024	—	`conf`	Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. CF Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen, Panagiotis Tolias, Gilbert Netzer, Panagiotis Kl. Barkoutsos, Ricardo Vinuesa, Ivy Peng, Stefano Markidis
2024	J	`jnl`	Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction. CoRR Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2024	A*	`conf`	Indirectly Parameterized Concrete Autoencoders. ICML Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour
2024	J	`jnl`	Indirectly Parameterized Concrete Autoencoders. CoRR Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour
2024	J	`jnl`	Inverse Problems with Diffusion Models: A MAP Estimation Perspective. CoRR Sai Bharath Chandra Gutha, Hossein Azizpour, Ricardo Vinuesa
2024	J	`jnl`	Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection. CoRR Joel Vasanth, Jean Rabault, Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa
2024	J	`jnl`	Navigation in a simplified Urban Flow through Deep Reinforcement Learning. CoRR Federica Tonti, Jean Rabault, Ricardo Vinuesa
2024	J	`jnl`	Opportunities for machine learning in scientific discovery. CoRR Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton
2024	J	`jnl`	Revisiting Score Function Estimators for CoRR Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
2024	J	`jnl`	Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks. Expert Syst. Appl. Aniel Jardines, Hamidreza Eivazi, Elias Zea, Javier García-Heras, Juan Simarro, Evelyn Otero, Manuel Soler, Ricardo Vinuesa
2024	J	`jnl`	Towards Robust Spatio-Temporal Auto-Regressive Prediction: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout. CoRR Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2024	J	`jnl`	Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation. CoRR Francisco Giral, Ignacio Gómez, Ricardo Vinuesa, Soledad Le Clainche
2023	J	`jnl`	Active flow control for three-dimensional cylinders through deep reinforcement learning. CoRR Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa
2023	J	`jnl`	Closing the gap between research and projects in climate change innovation in Europe. CoRR Francesca Larosa, Jaroslav Mysiak, Marco Molinari, Panagiotis Varelas, Haluk Akay, Will McDowall, Catalina Spadaru, Francesco Fuso Nerini, Ricardo Vinuesa
2023	J	`jnl`	Discovering Causal Relations and Equations from Data. CoRR Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge
2023	J	`jnl`	Easy attention: A simple self-attention mechanism for Transformers. CoRR Marcial Sanchis-Agudo, Yuning Wang, Karthik Duraisamy, Ricardo Vinuesa
2023	J	`jnl`	Effective control of two-dimensional Rayleigh-Bénard convection: invariant multi-agent reinforcement learning is all you need. CoRR Colin Vignon, Jean Rabault, Joel Vasanth, Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa
2023	J	`jnl`	Explaining wall-bounded turbulence through deep learning. CoRR Andres Cremades, Sergio Hoyas, Pedro Quintero, Martin Lellep, Moritz Linkmann, Ricardo Vinuesa
2023	J	`jnl`	From fear to action: AI governance and opportunities for all. Frontiers Comput. Sci. Kevin Baum, Joanna Bryson, Frank Dignum, Virginia Dignum, Marko Grobelnik, Holger H. Hoos, Morten Irgens, Paul Lukowicz, Catelijne Muller, Francesca Rossi, John Shawe-Taylor, Andreas Theodorou, Ricardo Vinuesa
2023	A*	`conf`	Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract). IJCAI Rana Tallal Javed, Osama Nasir, Melania Borit, Loïs Vanhée, Elias Zea, Shivam Gupta, Ricardo Vinuesa, Junaid Qadir
2023	J	`jnl`	Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows. J. Comput. Phys. Christian Amor, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche
2023	J	`jnl`	Improving the Learning of Mechanics Through Augmented Reality. Technol. Knowl. Learn. Clarissa Hedenqvist, Mario Romero, Ricardo Vinuesa
2023	J	`jnl`	The transformative potential of machine learning for experiments in fluid mechanics. CoRR Ricardo Vinuesa, Steven L. Brunton, Beverley J. McKeon
2023	J	`jnl`	β-Variational autoencoders and transformers for reduced-order modelling of fluid flows. CoRR Alberto Solera-Rico, Carlos Sanmiguel Vila, Miguel A. Gómez, Yuning Wang, Abdulrahman Almashjary, Scott T. M. Dawson, Ricardo Vinuesa
2022	J	`jnl`	An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics. J. Comput. Sci. Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
2022	J	`jnl`	Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object Inspection. Sensors Dmytro Mamchur, Janis Peksa, Soledad Le Clainche, Ricardo Vinuesa
2022	J	`jnl`	Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems. J. Comput. Phys. Yuki Morita, Saleh Rezaeiravesh, Narges Tabatabaei, Ricardo Vinuesa, Koji Fukagata, Philipp Schlatter
2022	J	`jnl`	Emerging Trends in Machine Learning for Computational Fluid Dynamics. Comput. Sci. Eng. Ricardo Vinuesa, Steven L. Brunton
2022	J	`jnl`	Emerging trends in machine learning for computational fluid dynamics. CoRR Ricardo Vinuesa, Steven L. Brunton
2022	J	`jnl`	Enhancing computational fluid dynamics with machine learning. Nat. Comput. Sci. Ricardo Vinuesa, Steven L. Brunton
2022	J	`jnl`	Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula. J. Artif. Intell. Res. Rana Tallal Javed, Osama Nasir, Melania Borit, Loïs Vanhée, Elias Zea, Shivam Gupta, Ricardo Vinuesa, Junaid Qadir
2022	J	`jnl`	Improving aircraft performance using machine learning: a review. CoRR Soledad Le Clainche, Esteban Ferrer, Sam Gibson, Elisabeth Cross, Alessandro Parente, Ricardo Vinuesa
2022	J	`jnl`	In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. Marco Atzori, Wiebke Köpp, Steven Wei Der Chien, Daniele Massaro, Fermín Mallor, Adam Peplinski, Mohamad Rezaei, Niclas Jansson, Stefano Markidis, Ricardo Vinuesa, Erwin Laure, Philipp Schlatter, Tino Weinkauf
2022	J	`jnl`	Innovative software systems for managing the impact of the COVID-19 pandemic. Softw. Pract. Exp. Sukhpal Singh Gill, Ricardo Vinuesa, Venki Balasubramanian, Soumya K. Ghosh
2022	J	`jnl`	Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder. Log. J. IGPL Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche
2022	J	`jnl`	Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations. CoRR Joongoo Jeon, Juhyeong Lee, Hamidreza Eivazi, Ricardo Vinuesa, Sung Joong Kim
2022	J	`jnl`	Physics-informed deep-learning applications to experimental fluid mechanics. CoRR Hamidreza Eivazi, Ricardo Vinuesa
2022	J	`jnl`	Predicting the temporal dynamics of turbulent channels through deep learning. CoRR Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa
2022	J	`jnl`	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. Vincent Mai, Bram Vanderborght, Tamás Haidegger, Alaa M. Khamis, Niraj Bhargava, Dominik B. O. Boesl, Katleen Gabriels, An Jacobs, AJung Moon, Robin R. Murphy, Yasushi Nakauchi, Edson Prestes, Rao R. Bhavani, Ricardo Vinuesa, Carl-Maria Mörch
2022	J	`jnl`	The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence. CoRR Alejandro Sánchez-Roncero, Òscar Garibo-i-Ortsa, J. Alberto Conejero, Hamidreza Eivazi, Fermín Mallor, Emelie Rosenberg, Francesco Fuso Nerini, Javier García-Martínez, Ricardo Vinuesa, Sergio Hoyas
2022	J	`jnl`	The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, Heng Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, Francesco Fuso Nerini, Ricardo Vinuesa
2022	J	`jnl`	Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. Expert Syst. Appl. Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa
2022	J	`jnl`	Understanding the Bibliometric Patterns of Publications in IEEE Access. IEEE Access Raghu Raman, Prashasti Singh, Vivek Kumar Singh, Ricardo Vinuesa, Prema Nedungadi
2021	J	`jnl`	Acquisition and User Behavior in Online Science Laboratories before and during the COVID-19 Pandemic. Multimodal Technol. Interact. Raghu Raman, Ricardo Vinuesa, Prema Nedungadi
2021	J	`jnl`	Aim in Climate Change and City Pollution. CoRR Pablo Torres, Beril Sirmaçek, Sergio Hoyas, Ricardo Vinuesa
2021	J	`jnl`	Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression. CoRR Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata
2021	J	`jnl`	COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments. CoRR Muhammad Shahroz, Farooq Ahmad, Muhammad Shahzad Younis, Nadeem Ahmad, Maged N. Kamel Boulos, Ricardo Vinuesa, Junaid Qadir
2021	J	`jnl`	Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic. Big Data Soc. Wim Naudé, Ricardo Vinuesa
2021	J	`jnl`	Interpretable deep-learning models to help achieve the Sustainable Development Goals. CoRR Ricardo Vinuesa, Beril Sirmaçek
2021	J	`jnl`	Interpretable deep-learning models to help achieve the Sustainable Development Goals. Nat. Mach. Intell. Ricardo Vinuesa, Beril Sirmaçek
2021	J	`jnl`	Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. CoRR Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa
2021	J	`jnl`	The Potential of Machine Learning to Enhance Computational Fluid Dynamics. CoRR Ricardo Vinuesa, Steven L. Brunton
2021	J	`jnl`	Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. CoRR Hamidreza Eivazi, Soledad Le Clainche Martínez, Sergio Hoyas, Ricardo Vinuesa
2021	J	`jnl`	UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD). J. Open Source Softw. Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
2020	J	`jnl`	A socio-technical framework for digital contact tracing. CoRR Ricardo Vinuesa, Andreas Theodorou, Manuela Battaglini, Virginia Dignum
2020	J	`jnl`	On the use of recurrent neural networks for predictions of turbulent flows. CoRR Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa
2020	J	`jnl`	Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa
2020	J	`jnl`	Towards and Ethical Framework in the Complex Digital Era. CoRR David Pastor-Escuredo, Ricardo Vinuesa
2019	—	`conf`	Distributed Percolation Analysis for Turbulent Flows. LDAV Anke Friederici, Wiebke Köpp, Marco Atzori, Ricardo Vinuesa, Philipp Schlatter, Tino Weinkauf
2019	—	`conf`	Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder. SOCO Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche Martínez
2019	J	`jnl`	The role of artificial intelligence in achieving the Sustainable Development Goals. CoRR Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Sami Domisch, Anna Felländer, Simone Langhans, Max Tegmark, Francesco Fuso Nerini