1 citations · 1 across the 3 of their papers we have counts for
3 papers
astro-ph.IM2026
FluxMC: Rapid and High-Fidelity Inference for Space-Based Gravitational-Wave Observations
Bo Liang, Chang Liu, Hanlin Song +11
Bayesian inference in the physical sciences faces a fundamental challenge: the imperative for high-fidelity physical modeling often clashes with the intrinsic limitations of stocha…
gr-qc2025★ 1 cited
Toward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework
Bo Liang, Chang Liu, Hanlin Song +12
The detection of gravitational waves from extreme-mass-ratio inspirals (EMRIs) in space-based antennas like Taiji and Laser Interferometer Space Antenna promises deep insights into…
physics.comp-ph2024
JefiAtten: An Attention Based Neural Network Model for Solving Maxwell's Equations with Charge and Current Sources
Ming-Yan Sun, Peng Xu, Jun-Jie Zhang +2
We present JefiAtten, a novel neural network model employing the attention mechanism to solve Maxwell's equations efficiently. JefiAtten uses self-attention and cross-attention mod…