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cs.LG2026
Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification
Vincent D. Zaballa, Elliot E. Hui
Simulation-based inference is challenging when many heterogeneous observations must be composed, hierarchical latent structure must be preserved, and the simulator is misspecified…
cs.LG2023
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference
Vincent D. Zaballa, Elliot E. Hui
Simulation-based inference (SBI) methods tackle complex scientific models with challenging inverse problems. However, SBI models often face a significant hurdle due to their non-di…