Sensoformer: Robust Sim-to-Real Inference on Variable-Geometry Sensor Sets via Physics-Structured Randomization

Documenti analoghi

• Uncertainties of Satellite-based Essential Climate Variables from Deep Learning
  di: Gou, Junyang, et al.
  Pubblicazione: (2024)
• Physics-Trained Neural Network as Inverse Problem Solver for Potential Fields: An Example of Downward Continuation between Arbitrary Surfaces
  di: Sun, Jing, et al.
  Pubblicazione: (2025)
• Uncertainty-Driven Modeling of Microporosity and Permeability in Clastic Reservoirs Using Random Forest
  di: Risha, Muhammad, et al.
  Pubblicazione: (2025)
• HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL
  di: Li, Zhi, et al.
  Pubblicazione: (2026)
• Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling
  di: Wei, Xiaoli, et al.
  Pubblicazione: (2023)