Ricardo Vinuesa

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 60

Top Topics

Sustainable Development

Computational Fluid Dynamics

Numerical Simulations

Top Venues

Expert Syst. Appl.

J. Comput. Phys.

Publications

Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour
Indirectly Parameterized Concrete Autoencoders. CoRR (2024)
Sai Bharath Chandra Gutha, Hossein Azizpour, Ricardo Vinuesa
Inverse Problems with Diffusion Models: A MAP Estimation Perspective. CoRR (2024)
Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. CoRR (2024)
Aniel Jardines, Hamidreza Eivazi, Elias Zea, Javier García-Heras, Juan Simarro, Evelyn Otero, Manuel Soler, Ricardo Vinuesa
Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks. Expert Syst. Appl. 241 (2024)
Konstantina Koliogeorgi, George Anagnostopoulos, Gerardo Zampino, Marcial Sanchis, Ricardo Vinuesa, Sotirios Xydis
Auto-tuning Multi-GPU High-Fidelity Numerical Simulations for Urban Air Mobility. DATE (2024)
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
Opportunities for machine learning in scientific discovery. CoRR (2024)
Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen, Panagiotis Tolias, Gilbert Netzer, Panagiotis Kl. Barkoutsos, Ricardo Vinuesa, Ivy Peng, Stefano Markidis
Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. CF (2024)
Joel Vasanth, Jean Rabault, Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa
Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection. CoRR (2024)
Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
-Subset Sampling. CoRR (2024)
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction. CoRR (2024)
Joogoo Jeon, Jean Rabault, Joel Vasanth, Francisco Alcántara-Ávila, Shilaj Baral, Ricardo Vinuesa
Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality. CoRR (2024)
Clarissa Hedenqvist, Mario Romero, Ricardo Vinuesa
Improving the Learning of Mechanics Through Augmented Reality. Technol. Knowl. Learn. 28 (1) (2023)
Christian Amor, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche
Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows. J. Comput. Phys. 475 (2023)
Andres Cremades, Sergio Hoyas, Pedro Quintero, Martin Lellep, Moritz Linkmann, Ricardo Vinuesa
Explaining wall-bounded turbulence through deep learning. CoRR (2023)
Colin Vignon, Jean Rabault, Joel Vasanth, Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa
Effective control of two-dimensional Rayleigh-Bénard convection: invariant multi-agent reinforcement learning is all you need. CoRR (2023)
Francesca Larosa, Jaroslav Mysiak, Marco Molinari, Panagiotis Varelas, Haluk Akay, Will McDowall, Catalina Spadaru, Francesco Fuso Nerini, Ricardo Vinuesa
Closing the gap between research and projects in climate change innovation in Europe. CoRR (2023)
Alberto Solera-Rico, Carlos Sanmiguel Vila, M. A. Gómez, Yuning Wang, Abdulrahman Almashjary, Scott T. M. Dawson, Ricardo Vinuesa
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows. CoRR (2023)
Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge
Discovering Causal Relations and Equations from Data. CoRR (2023)
Rana Tallal Javed, Osama Nasir, Melania Borit, Loïs Vanhée, Elias Zea, Shivam Gupta, Ricardo Vinuesa, Junaid Qadir
Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract). IJCAI (2023)
Ricardo Vinuesa, Steven L. Brunton, Beverley J. McKeon
The transformative potential of machine learning for experiments in fluid mechanics. CoRR (2023)
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
From fear to action: AI governance and opportunities for all. Frontiers Comput. Sci. 5 (2023)
Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa
Active flow control for three-dimensional cylinders through deep reinforcement learning. CoRR (2023)
Marcial Sanchis-Agudo, Yuning Wang, Karthik Duraisamy, Ricardo Vinuesa
Easy attention: A simple self-attention mechanism for Transformers. CoRR (2023)
Hamidreza Eivazi, Ricardo Vinuesa
Physics-informed deep-learning applications to experimental fluid mechanics. CoRR (2022)
Joongoo Jeon, Juhyeong Lee, Hamidreza Eivazi, Ricardo Vinuesa, Sung Joong Kim
Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations. CoRR (2022)
Ricardo Vinuesa, Steven L. Brunton
Emerging Trends in Machine Learning for Computational Fluid Dynamics. Comput. Sci. Eng. 24 (5) (2022)
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
The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence. CoRR (2022)
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, Bhavani Rao R., Ricardo Vinuesa, Carl-Maria Mörch
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. 29 (1) (2022)
Marco Atzori, Wiebke Köpp, Steven W. D. Chien, Daniele Massaro, Fermín Mallor, Adam Peplinski, Mohamad Rezaei, Niclas Jansson, Stefano Markidis, Ricardo Vinuesa, Erwin Laure, Philipp Schlatter, Tino Weinkauf
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. 78 (3) (2022)
Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa
Predicting the temporal dynamics of turbulent channels through deep learning. CoRR (2022)
Raghu Raman, Prashasti Singh, Vivek Kumar Singh, Ricardo Vinuesa, Prema Nedungadi
Understanding the Bibliometric Patterns of Publications in IEEE Access. IEEE Access 10 (2022)
Yuki Morita, Saleh Rezaeiravesh, N. Tabatabaei, Ricardo Vinuesa, Koji Fukagata, Philipp Schlatter
Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems. J. Comput. Phys. 449 (2022)
Soledad Le Clainche, Esteban Ferrer, Sam Gibson, Elisabeth Cross, Alessandro Parente, Ricardo Vinuesa
Improving aircraft performance using machine learning: a review. CoRR (2022)
Ricardo Vinuesa, Steven L. Brunton
Emerging trends in machine learning for computational fluid dynamics. CoRR (2022)
Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Y. Ban, Hamidreza Eivazi, H. Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, K. Smith, F. Fuso Nerini, Ricardo Vinuesa
The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR (2022)
Sukhpal Singh Gill, Ricardo Vinuesa, Venki Balasubramanian, Soumya K. Ghosh
Innovative software systems for managing the impact of the COVID-19 pandemic. Softw. Pract. Exp. 52 (4) (2022)
Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. Expert Syst. Appl. 202 (2022)
Dmytro Mamchur, Janis Peksa, Soledad Le Clainche, Ricardo Vinuesa
Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object Inspection. Sensors 22 (6) (2022)
Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics. J. Comput. Sci. 62 (2022)
Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche
Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder. Log. J. IGPL 30 (2) (2022)
Ricardo Vinuesa, Steven L. Brunton
Enhancing computational fluid dynamics with machine learning. Nat. Comput. Sci. 2 (6) (2022)
Rana Tallal Javed, Osama Nasir, Melania Borit, Loïs Vanhée, Elias Zea, Shivam Gupta, Ricardo Vinuesa, Junaid Qadir
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula. J. Artif. Intell. Res. 73 (2022)
Muhammad Shahroz, Farooq Ahmad, Muhammad Shahzad Younis, Nadeem Ahmad, Maged N. Kamel Boulos, Ricardo Vinuesa, Junaid Qadir
COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments. CoRR (2021)
Pablo Torres, Beril Sirmaçek, Sergio Hoyas, Ricardo Vinuesa
Aim in Climate Change and City Pollution. CoRR (2021)
Ricardo Vinuesa, Beril Sirmaçek
Interpretable deep-learning models to help achieve the Sustainable Development Goals. Nat. Mach. Intell. 3 (11) (2021)
Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa
Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. CoRR (2021)
Wim Naudé, Ricardo Vinuesa
Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic. Big Data Soc. 8 (2) (2021)
Ricardo Vinuesa, Beril Sirmaçek
Interpretable deep-learning models to help achieve the Sustainable Development Goals. CoRR (2021)
Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD). J. Open Source Softw. 6 (60) (2021)
Raghu Raman, Ricardo Vinuesa, Prema Nedungadi
Acquisition and User Behavior in Online Science Laboratories before and during the COVID-19 Pandemic. Multimodal Technol. Interact. 5 (8) (2021)
Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata
Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression. CoRR (2021)
Ricardo Vinuesa, Steven L. Brunton
The Potential of Machine Learning to Enhance Computational Fluid Dynamics. CoRR (2021)
Hamidreza Eivazi, Soledad Le Clainche Martínez, Sergio Hoyas, Ricardo Vinuesa
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. CoRR (2021)
Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa
On the use of recurrent neural networks for predictions of turbulent flows. CoRR (2020)
Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR (2020)
Ricardo Vinuesa, Andreas Theodorou, Manuela Battaglini, Virginia Dignum
A socio-technical framework for digital contact tracing. CoRR (2020)
David Pastor-Escuredo, Ricardo Vinuesa
Towards and Ethical Framework in the Complex Digital Era. CoRR (2020)
Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche Martínez
Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder. SOCO (2019)
Anke Friederici, Wiebke Köpp, Marco Atzori, Ricardo Vinuesa, Philipp Schlatter, Tino Weinkauf
Distributed Percolation Analysis for Turbulent Flows. LDAV (2019)
Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Sami Domisch, Anna Felländer, Simone Langhans, Max Tegmark, Francesco Fuso Nerini
The role of artificial intelligence in achieving the Sustainable Development Goals. CoRR (2019)