Sim2science_acceptance_2026
Our work on end-to-end uncertainty quantification and a benchmark for simulation-based and variational inference has been accepted to Sim2Science: ML with Imperfect Scientific Models, NeurIPS 2026.
Our work on end-to-end uncertainty quantification and a benchmark for simulation-based and variational inference has been accepted to Sim2Science: ML with Imperfect Scientific Models, NeurIPS 2026.