simulation-based inference

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference CLeaR 2026 Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design UAI 2026 Addressing Misspecification in Simulation-based Inference through Data-driven Calibration ICML 2025 Amortized Probabilistic Conditioning for Optimization, Simulation and Inference AISTATS 2025 Compositional simulation-based inference for time series ICLR 2025 Conditional diffusions for amortized neural posterior estimation AISTATS 2025 Cost-aware simulation-based inference AISTATS 2025 Deep Optimal Sensor Placement for Black Box Stochastic Simulations AISTATS 2025 G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration ICML 2025 Robust Simulation-Based Inference under Missing Data via Neural Processes ICLR 2025 Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation UAI 2025 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference NeurIPS 2024 All-in-one simulation-based inference ICML 2024 Conformal Contextual Robust Optimization AISTATS 2024 Consistency Models for Scalable and Fast Simulation-Based Inference NeurIPS 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 FUSE: Fast Unified Simulation and Estimation for PDEs NeurIPS 2024 Simulation-Based Inference with Quantile Regression ICML 2024 Simulation-Based Stacking AISTATS 2024 Simultaneous identification of models and parameters of scientific simulators ICML 2024 Variational Inference with Coverage Guarantees in Simulation-Based Inference ICML 2024 Adversarial robustness of amortized Bayesian inference ICML 2023 Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability NeurIPS 2023 Compositional Score Modeling for Simulation-Based Inference ICML 2023 Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NeurIPS 2023