Using Bayesian Deep Learning to Infer Planet Mass from Gaps in Protoplanetary DisksSayantan Auddy, Jacob B. Simon, Min-Kai Lin et al.|The Astrophysical Journal|2022Cited by 9
GRINN: a physics-informed neural network for solving hydrodynamic systems in the presence of self-gravitySayantan Auddy, Shantanu Basu, N. Turner et al.|Machine Learning Science and Technology|2024Cited by 8
Predicting Stellar Mass Accretion: An Optimized Echo State Network Approach in Time Series ModelingGianfranco Bino, Eduard I. Vorobyov, Lyle Muller et al.|The Open Journal of Astrophysics|2023Cited by 5
Predicting Stellar Mass Accretion: An Optimized Echo State Network Approach in Time Series ModelingGianfranco Bino, Eduard I. Vorobyov, Sayantan Auddy et al.|arXiv (Cornell University)|2023Cited by 1