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Jonathan Viquerat

Identifiers

  • name variant Jonathan Viquerat 0.60 · backfill

Papers (20)

  1. TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis cs.CV · 2025 · author #3
  2. Automated discovery of finite volume schemes using Graph Neural Networks cs.LG · 2025 · author #2
  3. Training Transformers for Mesh-Based Simulations cs.LG · 2025 · author #3
  4. Mixed-variable policy-based optimization math.OC · 2025 · author #1
  5. Dragonfly: a modular deep reinforcement learning library cs.LG · 2025 · author #1
  6. MeshMask: Physics-Based Simulations with Masked Graph Neural Networks cs.LG · 2025 · author #3
  7. Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics cs.LG · 2024 · author #2
  8. Beacon, a lightweight deep reinforcement learning benchmark library for flow control physics.comp-ph · 2024 · author #1
  9. Autoregressive Transformers for Data-Driven Spatio-Temporal Learning of Turbulent Flows physics.flu-dyn · 2022 · author #2
  10. A review on deep reinforcement learning for fluid mechanics: an update physics.flu-dyn · 2021 · author #1
  11. Robust deep learning for emulating turbulent viscosities physics.flu-dyn · 2021 · author #2
  12. Graph neural networks for laminar flow prediction around random 2D shapes physics.flu-dyn · 2021 · author #3
  13. Policy-based optimization: single-step policy gradient method seen as an evolution strategy math.OC · 2021 · author #1
  14. A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles physics.flu-dyn · 2021 · author #2
  15. Deep reinforcement learning for the control of conjugate heat transfer with application to workpiece cooling physics.flu-dyn · 2020 · author #3
  16. U-net architectures for fast prediction of incompressible laminar flows physics.comp-ph · 2019 · author #2
  17. Exploiting locality and physical invariants to design effective Deep Reinforcement Learning control of the unstable falling liquid film physics.flu-dyn · 2019 · author #3
  18. Direct shape optimization through deep reinforcement learning cs.CE · 2019 · author #1
  19. A review on Deep Reinforcement Learning for Fluid Mechanics physics.comp-ph · 2019 · author #2
  20. A supervised neural network for drag prediction of arbitrary 2D shapes in low Reynolds number flows physics.comp-ph · 2019 · author #1

Mentions

  • 2509.03095 #3 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2508.19052 #2 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2501.08738 #3 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2409.11899 #2 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2508.18051 #3 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2505.03778 #1 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2506.13240 #1 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 1908.04127 #2 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2402.17402 #1 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2209.08052 #2 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2107.12206 #1 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2107.11529 #3 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2104.06175 #1 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2107.11235 #2 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2104.03619 #2 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 2011.15035 #3 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 1908.09885 #1 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 1907.05090 #1 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 1910.13532 #2 · arxiv_oai · confidence 0.70 Jonathan Viquerat
  • 1910.07788 #3 · arxiv_oai · confidence 0.70 Jonathan Viquerat

Frequent Coauthors