Cover Image

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Giral, Francisco, Vishwasrao, Abhijeet, Ramo, Andrea Arroyo, Golestanian, Mahmoud, Tonti, Federica, Lozano-Duran, Adrian, Brunton, Steven L., Hoyas, Sergio, Gomez, Hector, Clainche, Soledad Le, Vinuesa, Ricardo
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations
by: Vishwasrao, Abhijeet, et al.
Published: (2026)

Navigation in a Three-Dimensional Urban Flow using Deep Reinforcement Learning
by: Tonti, Federica, et al.
Published: (2025)

Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction
by: Tonti, Federica, et al.
Published: (2026)

Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
by: Giral, Francisco, et al.
Published: (2024)

Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering
by: Mahajan, Atharva, et al.
Published: (2026)

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
by: Giral, Francisco, et al.
Published: (2026)

Navigation in a simplified Urban Flow through Deep Reinforcement Learning
by: Tonti, Federica, et al.
Published: (2024)

Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement Learning
by: Giral, Francisco, et al.
Published: (2024)

Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
by: Harder, Hans, et al.
Published: (2025)

Classically studied coherent structures only paint a partial picture of wall-bounded turbulence
by: Cremades, Andrés, et al.
Published: (2024)

Utilizing indicator functions with computational data to confirm nature of overlap in normal turbulent stresses: logarithmic or quarter-power
by: Nagib, Hassan, et al.
Published: (2024)

Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer
by: Cremades, Andrés, et al.
Published: (2024)

Generative Urban Flow Modeling: From Geometry to Airflow with Graph Diffusion
by: Giral, Francisco, et al.
Published: (2025)

Sensitivity study of resolution and convergence requirements for extended overlap region in wall-bounded turbulence
by: Hoyas, Sergio, et al.
Published: (2023)

Higher DNS-resolution requirements for expanded overlap region and confirmation of a convergence criterion
by: Hoyas, Sergio, et al.
Published: (2024)

Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations
by: Catalani, Giovanni, et al.
Published: (2024)

Aero-Promptness: Drag-Aware Aerodynamic Manipulability for Propeller-driven Vehicles
by: Franchi, Antonio
Published: (2026)

Explainable deep learning reveals the physical mechanisms behind the turbulent kinetic energy equation
by: Alcántara-Ávila, Francisco, et al.
Published: (2026)

Explainable AI: Learning from the Learners
by: Vinuesa, Ricardo, et al.
Published: (2026)

Improving aircraft performance using machine learning: a review
by: Clainche, Soledad Le, et al.
Published: (2022)

BALANCE DE ENERGÍA SOBRE UN CULTIVO DE SOJA
by: Natalia Tonti
Published: (2013)

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning
by: Cremades, A., et al.
Published: (2025)

Graph-Based Neural Models for Transonic Aerodynamics: AeroFormer & MeshGAT Architectures
by: Hussain, Saad
Published: (2025)

Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments
by: Vishwasrao, Abhijeet, et al.
Published: (2025)

Reduced-order modeling of a viscoelastic turbulent jet with hybrid machine learning models
by: Amor, Christian, et al.
Published: (2026)

Data-Driven Reduced-Complexity Modeling of Fluid Flows: A Community Challenge
by: Schmidt, Oliver T., et al.
Published: (2026)

HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics
by: Ashton, Neil, et al.
Published: (2026)

Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models
by: Abadía-Heredia, Rodrigo, et al.
Published: (2024)

X-CAL: Explaining latent causality in physical space for fluid mechanics
by: Sanchis-Agudo, Marcial, et al.
Published: (2026)

BRo-JEPA: Learning Modular Arithmetic in Latent Space
by: Jha, Divyansh, et al.
Published: (2026)

The coherent structures of EVP Fluid Flow Past a Circular Cylinder
by: Corrochano, Adrián, et al.
Published: (2025)

Coherent structures in Newtonian and viscoelastic turbulent planar jets
by: Amor, Christian, et al.
Published: (2026)

At the Confluence of Three Traditions: Architectural Drawings at the Avery Library.
by: Giral, Angela
Published: (1988)

Efecto de la interrupción en el consumo de leche conteniendo L. casei sobre el sistema inmune
by: Julieta Giral
Published: (2012)

Efficient Reduced Order Modeling Based on HODMD to Predict Intraventricular Flow Dynamics
by: Lazpita, Eneko, et al.
Published: (2025)

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements
by: Hetherington, Ashton, et al.
Published: (2024)

Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics
by: ElSheikh, Ali, et al.
Published: (2026)

ProteinJEPA: Latent prediction complements protein language models
by: Ofer, Dan, et al.
Published: (2026)

EchoJEPA: A Latent Predictive Foundation Model for Echocardiography
by: Munim, Alif, et al.
Published: (2026)

JEPA-Reasoner: Decoupling Latent Reasoning from Token Generation
by: Liu, Bingyang Kelvin, et al.
Published: (2025)