41 citations · 100 across the 9 of their papers we have counts for
9 papers
Deep learning forecasts of cosmic acceleration parameters from DECi-hertz Interferometer Gravitational-wave Observatory
Meng-Fei Sun, Jin Li, Shuo Cao +1
Validating the accelerating expansion of the universe is an important issue for understanding the evolution of the universe. By constraining the cosmic acceleration parameter …
Weighted Automata Extraction and Explanation of Recurrent Neural Networks for Natural Language Tasks
Zeming Wei, Xiyue Zhang, Yihao Zhang +1
Recurrent Neural Networks (RNNs) have achieved tremendous success in processing sequential data, yet understanding and analyzing their behaviours remains a significant challenge. T…
Discrepant Approaches to Modeling Stellar Tides, and the Blurring of Pseudosynchronization
R. H. D. Townsend, M. Sun
We examine the reasons for discrepancies between two alternative approaches to modeling small-amplitude tides in binary systems. The 'direct solution' (DS) approach solves the gove…
Using Z3 for Formal Modeling and Verification of FNN Global Robustness
Yihao Zhang, Zeming Wei, Xiyue Zhang +1
While Feedforward Neural Networks (FNNs) have achieved remarkable success in various tasks, they are vulnerable to adversarial examples. Several techniques have been developed to v…
gyre_tides: Modeling binary tides within the gyre stellar oscillation code
Meng Sun, R. H. D. Townsend, Zhao Guo
We describe new functionality in the GYRE stellar oscillation code for modeling tides in binary systems. Using a multipolar expansion in space and a Fourier-series expansion in tim…
Magnetic braking with MESA evolutionary models in the single star and LMXB regimes
Seth Gossage, Vicky Kalogera, Meng Sun
Magnetic braking has a prominent role in driving the evolution of close low mass binary systems and heavily influences the rotation rates of low mass F- and later type stars with c…