GenSBI delivers JAX-native implementations of generative SBI methods with transformer backbones and reports near-ideal calibration scores on standard benchmarks.
A comprehensive guide to simulation-based inference in computational biology
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proposes a KL-informed robust optimal transport divergence with stochastic estimation and bootstrap-based SBI for robust inference under joint geometric and TV contamination.
citing papers explorer
-
GenSBI: Generative Methods for Simulation-Based Inference in JAX
GenSBI delivers JAX-native implementations of generative SBI methods with transformer backbones and reports near-ideal calibration scores on standard benchmarks.
-
Robust Simulation Based Inference Through Robust Optimal Transport
Proposes a KL-informed robust optimal transport divergence with stochastic estimation and bootstrap-based SBI for robust inference under joint geometric and TV contamination.