Papers

• Fourier Neural Operators for Rayleigh-B\'enard Convection (2026)
  Chelsea Maria John et al.
  4.39
• FlowPainter: Inpainting Optical Flow via Confidence-Guided Completion (2026)
  Yuang Meng et al.
  4.39
• HandFlow: Fully Generative 4D Hand Recovery with Flow Matching (2026)
  Mingxi Xu et al.
  4.39
• Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls (2026)
  Henrik Lange et al.
  4.39
• Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion (2026)
  Haoze Zhang et al.
  4.39
• Unlocking air traffic flow prediction through microscopic aircraft-state modeling (2026)
  Bin Wang et al.
  1.89
• From Time Series to State: Situation-Aware Modeling for Air Traffic Flow Prediction (2026)
  Anqi Liu et al.
  1.83
• Unconditional flow-based time series generation with equivariance-regularised latent spaces (2026)
  Camilo Carvajal Reyes and Felipe Tobar
  1.67
• Operator Flow Matching for Timeseries Forecasting (2025)
  Yolanne Yi Ran Lee et al.
  1.50
• An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning (2025)
  Rodrigo Abad\'ia-Heredia et al.
  1.22
• Time Series Source Separation with Slow Flows (2020)
  Edouard Pineau et al.
  —
• Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems (2022)
  Pratyush Bhatt et al.
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• Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport (2023)
  Mukul Bhutani and J. Zico Kolter
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• Reduced-order modeling of unsteady fluid flow using neural network ensembles (2024)
  Rakesh Halder et al.
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• Data-driven ODE modeling of the high-frequency complex dynamics via a low-frequency dynamics model (2024)
  Natsuki Tsutsumi et al.
  —