dnn.png The research projects on using deep learning in astronomy, i.e., to carry out fully automatic parameter-space numerical study, and to find signal patterns in observational data, is in progress. Publications: Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational N-body ProblemFast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio EstimationDeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks Deep-learning enhancement of large scale numerical simulations
