3 papers
physics.chem-ph2025
TRIDS: AI-native molecular docking framework for accelerating high-throughput virtual screening with physically valid binding poses
Xuhan Liu, Baohua Zhang, Yue Xue +7
Molecular docking is a cornerstone of drug discovery for unveiling the mechanism of ligand-receptor interactions. With the recent advances of deep learning (DL), AI-powered molecul…
stat.ME2025
Poisson Approximate Likelihood versus the block particle filter for a spatiotemporal measles model
Kunyang He, Yize Hao, Edward L. Ionides
Filtering algorithms for high-dimensional nonlinear non-Gaussian partially observed stochastic processes provide access to the likelihood function and hence enable likelihood-based…
stat.ME2024
Poisson approximate likelihood compared to the particle filter
Yize Hao, Aaron A. Abkemeier, Edward L. Ionides
Filtering algorithms are fundamental for inference on partially observed stochastic dynamic systems, since they provide access to the likelihood function and hence enable likelihoo…