Papers

• AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity (2026)
  Bhavya Gupta et al.
  5.49
• Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis (2025)
  Bo Liang et al.
  5.04
• Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms (2026)
  Michael P\"urrer et al.
  2.00
• Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application (2025)
  Roberta Duarte et al.
  1.33
• Scalable Discovery of Fundamental Physical Laws: Learning Magnetohydrodynamics from 3D Turbulence Data (2025)
  Matthew Golden et al.
  1.00
• Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference (2024)
  Linnea M Wolniewicz et al.
  0.72
• Self-Supervised Learning for Modeling Gamma-ray Variability in Blazars (2023)
  Aryeh Brill
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